Author: Stephanie Safdie

Article

Aug 5, 2026
10min read

Meet Wandz: The AI Layer That Powers the Wingify Suite

Stephanie Safdie

Stephanie Safdie

Main Takeaways

› Wandz is Wingify’s embedded AI layer, not a standalone assistant bolted onto the suite.

› It’s built to support experimentation, personalization, feature management, customer insight, and broader optimization workflows.

› Unlike general-purpose AI tools, Wandz works with context that’s already inside the suite: experiments, audiences, metrics, and customer behavior rather than starting from a blank slate.

› The goal is to shorten the distance between noticing something in the data and acting on it, without leaving the suite to do so.

Wandz is Wingify’s embedded AI layer, the intelligence DNA built directly into experimentation, personalization, feature management, commerce, and customer insight workflows across VWO and AB Tasty. Because Wandz already has access to your experiments, audiences, metrics, and behavioral data, it can analyze, recommend, and help execute changes without anyone exporting data or re-explaining context to a general-purpose AI tool first.

Why digital experience teams need a different kind of AI

Many teams already have AI in their daily workflow. ChatGPT, Claude, and Gemini are genuinely useful for brainstorming, drafting copy, summarizing documents, or writing code. None of that is in question.

But optimization work has a different shape. A useful answer to “why did conversion drop on this page” or “which audience segment should see this next” depends on context that lives entirely inside a testing and personalization suite: which experiments are running, how traffic is being split, what a given audience segment actually contains, what a heatmap or session recording shows about user behavior, and what’s already been tried before.

A general-purpose AI assistant doesn’t have access to any of that by default. Getting useful output means exporting data, pasting it into a chat window, writing a prompt with enough context to make the answer usable, and then carrying the AI’s suggestion back into the suite to actually act on it. That round trip is where most of the friction lives, in the manual work of feeding it what it needs to know.

What Is Wandz?

Wandz is the embedded AI layer that runs inside the Wingify suite, present across experimentation, personalization, feature management, analytics, and customer insight workflows rather than existing as a separate destination. It’s built on what AB Tasty previously offered through its Evi assistant and what VWO offered through Copilot, now unified into a single AI layer as the two suites converge under Wingify.

The distinction that matters most: Wandz is built into the screens where the work actually happens, which means it already has the context a general AI tool would need you to provide manually.

Why Wandz lives inside Wingify

The typical workflow with an external AI tool looks like this: export data, copy it, paste it into a prompt, write enough context for the answer to make sense, interpret what comes back, go back to the suite, and then manually execute whatever the AI suggested.

Wandz is designed to shorten that into: analyze, recommend, build, validate, launch, all without leaving the suite. The data doesn’t need to be exported because Wandz is already looking at it. The recommendation doesn’t need to be manually translated into action because Wandz can help build the resulting experiment, segment, or rollout directly.

One intelligence layer across the entire Suite

Rather than being a feature attached to any single product area, Wandz is designed to sit underneath all of them, drawing on the same underlying data regardless of where in the suite a team is working.

The practical effect of this shared layer is continuity: an insight surfaced while reviewing a heatmap can inform a hypothesis for a new experiment, which can inform an audience used for personalization, which can inform how a related feature gets rolled out, without re-explaining context at each handoff, because the underlying data carries through.

How Wandz supports every Wingify workflow

Most AI tools assist by surfacing a suggestion, and then a human carries it forward manually translating the recommendation into configuration, setup, or action inside the actual product. Wandz is built to go further than that.

Across every Wingify workflow, Wandz operates agentically: it doesn’t just recommend the next step; it can execute multi-step tasks end-to-end: drafting an experiment, building an audience, reviewing a configuration, interpreting a result, while keeping a human in the loop at the points where approval, judgment, or sign-off actually matters. The distinction is meaningful. An AI that tells you what to do still leaves the work to you. An AI agent that does the work and asks you to confirm before anything ships is where the real time savings come from.

Because Wandz operates inside the suite with live access to your experiments, audiences, metrics, behavioral data, and rollout history, it can act on that context directly, rather than describing what someone else should do with it.

Experimentation

In the experimentation workflow, Wandz generates hypotheses grounded in actual performance data rather than starting from a blank slate. It can draft an experiment end-to-end, defining variations, selecting metrics, and suggesting the right audience, and then review that configuration for likely issues before it goes live.

Once results come in, Wandz interprets them in plain language and identifies what to test next based on what the completed test revealed. The team reviews and approves at each stage; Wandz handles the mechanics in between.

Personalization

For personalization, Wandz moves from behavioral data to an actionable audience segment without requiring manual analysis at every step. It identifies patterns in visitor behavior worth targeting, builds a segment, and suggests experience variations suited to that segment, compressing what typically takes a full analytical cycle into something a team can act on in a single workflow.

A human confirms the segment logic and approves the experience before it runs; Wandz does the work of getting there.

Feature management

In feature management, Wandz reviews rollout configurations before launch, checking that metrics, targeting rules, and traffic allocations are set up correctly, and flags the issues a team might not catch until a test has already run for a week.

Beyond pre-launch review, Wandz can help reason through how aggressively to roll a feature out based on the risk profile of the change, and surface signals during a rollout that suggest it’s time to accelerate, pause, or trigger a kill switch.

Customer insights

For behavioral research, Wandz does the first pass across heatmaps, session recordings, and survey responses that would otherwise require hours of manual qualitative review.

It surfaces friction patterns, identifies which sessions are worth watching in full, and connects what it finds across multiple insight sources into a starting point for the next hypothesis — so teams spend their time on interpretation and decision-making rather than data triage.

Analytics

On the reporting and analytics side, Wandz answers questions about performance in plain language, explains what’s behind a notable shift in a metric, and surfaces comparisons across segments or campaigns without requiring anyone to build a custom report first.

For teams that need to communicate results upward, Wandz can pull together a summary that answers the business question rather than leaving that translation to the analyst.

What makes Wandz different from general-purpose AI?

The point isn’t that general-purpose AI is worse at reasoning, but that Wandz starts several steps ahead because it isn’t working from a blank slate.

General-purpose AIWandz
Starts with generic knowledgeStarts with experimentation and optimization context
Needs data copied and pasted inAlready connected to your suite data
Doesn’t know your campaignsHas access to your actual experiments
Doesn’t know your audiencesHas access to your actual segments
Mostly suggests ideasCan help build and configure the resulting work
Lives in a separate workflowLives inside the workflow itself

How different teams use Wandz

  • Product managers use Wandz to help prioritize which experiments are worth running, understand feature adoption, and think through rollout pacing.
  • Marketers use it to optimize campaigns, build out personalized journeys, and understand what’s actually driving (or blocking) conversion.
  • Growth teams use it to generate hypotheses faster, identify which segments are responding well to a given test, and find the next opportunity once a test concludes.
  • Engineers use it to review feature flag configurations, sanity-check a rollout plan, and reduce the risk of shipping something that breaks in production.
  • E-commerce teams use it to personalize the shopping journey, identify friction in checkout, and connect behavioral insight to revenue-driving changes.

A day in the life of Wandz

Here’s what that looks like end to end. A product manager notices that checkout conversion has dropped. Working inside the suite, they use Wandz to identify which audience segments are most affected. Wandz surfaces relevant session recordings showing where users are hesitating, and summarizes the heatmap patterns on the affected page.

From there, it helps frame a hypothesis for what might be causing the drop, drafts a starting point for an experiment to test that hypothesis, and reviews the experiment’s configuration, metrics, targeting, and traffic split before it goes live. If the new variation wins, Wandz can help think through a staged rollout rather than an all-at-once release.

No step in that sequence requires leaving the suite or re-explaining context to a separate tool. That continuity, more than any individual feature, is the actual value of an embedded AI layer.

An AI layer that sits this close to live experiments and production feature flags has to be built with guardrails, not just capability. That means recommendations are presented for human review rather than executed automatically, changes Wandz helps build remain visible and editable before anything ships, and the suite’s existing role-based permissions, audit logs, and security controls apply to AI-assisted actions the same way they apply to manual ones.

For enterprise teams in particular, the question isn’t just “Can the AI do this?” It’s “Can we see what it did, and who approved it?” and that accountability is treated as a requirement rather than an afterthought.

[Embed Wandz into your optimization ecosystem.] <CTA link>

FAQs

Still have questions about Wingify? Here are the answers you need.

Is Wandz a chatbot?

Not in the standalone sense. Wandz doesn’t live in a separate chat window disconnected from your work; it’s built into the experimentation, personalization, feature management, and analytics screens you’re already using, with a conversational interface as one way of interacting with it rather than the whole of it.

Is Wandz built into every Wingify product?

Wandz is designed to span the suite rather than being scoped to a single product. As VWO and AB Tasty continue integrating under Wingify, the pace at which Wandz reaches every individual feature will vary, but the direction is one AI layer across the combined suite rather than separate AI tools per product.

Can Wandz create experiments?

Wandz can help draft and configure experiments suggesting variations, metrics, and audiences, but the team reviews and approves the configuration before it launches.

Does Wandz replace analysts?

Wandz works with the experiment, audience, and behavioral data already collected within the suite in order to generate relevant recommendations, governed by the same data handling and security practices that apply to the rest of the suite.

Does Wandz use customer data?

Wandz works with the experiment, audience, and behavioral data already collected within the suite in order to generate relevant recommendations, governed by the same data handling and security practices that apply to the rest of the suite.

How is Wandz different from ChatGPT?

Your answer hereChatGPT and similar tools are general-purpose and start with no knowledge of your specific experiments, audiences, or campaigns unless you provide it manually. Wandz is purpose-built for experimentation and optimization workflows and already has that context because it operates inside the suite where the data lives.

Can Wandz recommend personalization strategies?

Yes. Wandz is designed to help identify behavioral patterns worth targeting and suggest segment-specific personalization based on data already in the suite.

Does Wandz support feature management?

Yes. Wandz is designed to assist with reviewing rollout configurations, flagging potential risks before launch, and helping teams think through how aggressively to release a given feature.

Is Wandz available across VWO and AB Tasty capabilities?

Wandz is intended to be the single AI layer spanning both VWO’s and AB Tasty’s capabilities as they converge under Wingify, unifying what each company previously offered separately through Copilot and Evi.

The future of AI is embedded

AI tends to deliver the most value when it’s part of the workflow a team is already in, rather than a separate application they have to context-switch into. By building intelligence directly into experimentation, personalization, feature management, customer insight, and analytics, Wandz is designed to help teams move more directly from noticing something in the data to actually doing something about it, without that work getting lost in translation between tools along the way.

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About the Author

Stephanie Safdie

Stephanie Safdie holds a bachelor’s degree in English Language and Literature from the University of Maryland, specializing in multimedia studies. She has worked as a social media video creator, freelance copywriter, SEO copywriter at Greenly climate tech, and runs a travel blog Destination Dreamer Diaries. 

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Article

Jul 27, 2026
7min read

How Wingify’s Connected Suite Turns Optimization Into a Real Advantage

Stephanie Safdie

Stephanie Safdie

Main Takeaways

› Wingify is the Digital Experience Optimization (DXO) suite that now houses both AB Tasty and VWO.

› It unites personalization, experimentation, feature management, customer insight, and AI under a single roof.

› Current AB Tasty and VWO products keep running as-is while they’re gradually folded into one Wingify experience.

› Wandz is the AI engine woven through every part of the suite.

Most digital teams have data but lack clarity. The gap between collecting information and confidently acting on it is quietly costing far more than most organizations realize.

Experiments run, but nobody can tie the results back to revenue. Personalization tools exist, but targeting the right audience with any confidence is a struggle. Features ship, but there’s no dependable way to tell whether they actually helped. AI tools are in place too, yet every session starts with re-explaining context from scratch.

None of this is a talent problem. It’s a coordination problem, the predictable outcome of stitching together an optimization strategy from disconnected point solutions that don’t share data, audiences, or even an agreed definition of success.

Wingify was built to close that gap by bringing AB Tasty and VWO, two of the most established and widely used suites in personalization, experimentation, and digital experience optimization, into a single connected platform. Wingify gives organizations something individual tools never could: one shared, complete view of the customer that every team can act on from the same place, with no translation layer in between. Each feature feeds the next automatically; insight turns into a hypothesis, a hypothesis turns into an experiment, and an experiment turns into a better experience, without anyone manually stitching the stages together.

What disconnected tools actually cost you

Before getting into what Wingify makes possible, it’s worth naming the problem clearly, because it tends to hide behind adoption numbers and productivity dashboards rather than show up as a line item on a report.

Data that doesn’t travel slows every decision

  • An insight from a heatmap has to be manually translated into a hypothesis inside a separate experimentation tool.
  • A winning experiment has to be manually rebuilt as a personalized experience inside a different personalization engine.
  • A personalization audience has to be recreated from scratch in a feature flag tool before a rollout can even target the right people.

Every one of those handoffs costs time, invites interpretation errors, and often means that by the time a promising idea becomes a live experience, the moment it was built for has already passed.

Audiences drift apart and metrics stop agreeing

When the same audience, say, “returning customers who abandoned checkout”, is defined separately across four different tools, it quietly stops meaning the same thing in each one.

Experimentation reports one number, personalization targets a slightly different group, analytics shows a third figure, and nobody can explain the gap. The net effect is less time spent optimizing and more time spent reconciling spreadsheets.

AI is only as useful as the context it has

General-purpose AI tools are genuinely helpful for brainstorming and first drafts. But they have no visibility into your live experiments, your audience segments, your rollout history, or your campaign metrics.

Getting a useful answer means exporting, copying, and pasting enough context for the response to actually apply, then manually carrying that answer back into the suite to act on it. That round trip is exactly where the value leaks out.

Governance turns into a patchwork

For organizations running optimization across multiple teams, brands, or regions, every tool without a shared permission model becomes one more security surface to configure and maintain on its own.

Audit trails fragment, compliance questions get harder to answer definitively, and the combined overhead of governing five separate tools becomes a real cost that almost never shows up in any single tool’s ROI math.

Why connection, not just capability, drives the outcome

A connected suite outperforms a stack of disconnected best-of-breed tools for a structural reason, not a marketing one.

When experimentation, personalization, feature delivery, customer insight, commerce, feedback, and analytics all draw on the same data layer, the output of one stage automatically becomes the input for the next. A heatmap that reveals checkout friction feeds directly into a hypothesis. The hypothesis becomes an experiment.

The experiment’s winning variant becomes a personalized experience for the exact segment where the friction was worst. That personalization shapes a feature decision. The feature is rolled out progressively to the segment that responded best. Everything that happens along the way updates what the team understands about customer behavior, which sets up the next test.

That cycle… understand, hypothesize, experiment, personalize, release, learn, optimize, is how compounding improvement actually happens. It doesn’t take heroic effort, just tooling that doesn’t break the chain at every single handoff.

Wingify keeps that chain unbroken, combining AB Tasty’s depth in personalization, segmentation, and AI-driven targeting with VWO’s decade-plus track record in experimentation and behavioral insight.

Why an embedded AI layer changes what’s possible

An AI layer sitting outside your suite adds a step to everything you do. One built directly into it removes steps instead.

Wandz is Wingify’s embedded AI layer, intelligence built straight into experimentation, personalization, feature management, and analytics workflows. It builds on what AB Tasty offered through Evi and what VWO offered through Copilot, merging both into one AI layer with shared access to context across the entire suite.

Wandz runs inside every feature across the platform as the intelligence layer that keeps the connected loop moving, generating hypotheses, reviewing configurations, building audiences, interpreting results, and surfacing the next opportunity, all from within the workflow where the work already happens. The loop speeds up because Wandz removes the pauses between stages.

That translates into concrete business value:

  • Faster hypothesis generation: instead of a growth team spending a week pulling data to justify a test idea, Wandz can surface experiment hypotheses grounded in what’s already inside the suite, behavioral patterns, segment performance, and historical test results, in minutes.
  • Fewer launch mistakes: before an experiment or rollout goes live, Wandz reviews the configuration, metrics, audience targeting, traffic split, and flags likely errors. A misconfigured test that quietly runs for two weeks before anyone notices is an expensive way to learn something a pre-launch check could have caught.
  • Faster result interpretation: instead of waiting on an analyst to interpret a finished test, teams can ask Wandz plain-language questions, “how did this campaign perform on mobile vs. desktop for first-time visitors”, and get an answer straight from their actual data, immediately.
  • Faster campaign execution: the AI Editor lets teams build or adjust campaigns using natural-language instructions, with every change staying visible and reversible before it ships, faster time-to-live without giving up oversight.

Each of these shortens the distance between insight and action, and across every experiment, rollout, and personalization campaign a team runs in a year, that adds up to a meaningful difference in how much optimization actually gets done.

What Wingify delivers

Wingify’s value comes from bringing two suites together, AB Tasty’s personalization and AI-driven experience capabilities and VWO’s experimentation depth, into one data layer, one workflow, and one AI system spanning all of it.

For teams, the result is a tighter loop between understanding customers and improving their experience, running continuously instead of in occasional bursts whenever someone finds time to manually reconcile five dashboards.

That’s the business case for a unified Digital Experience Optimization suite. It’s exactly what Wingify delivers.

FAQs

Still have questions about Wingify? Here are the answers you need.

What is Wingify?

Wingify is the combined Digital Experience Optimization suite formed by AB Tasty and VWO following their 2026 merger.

What’s included in Wingify?

Wingify covers web, mobile, and server-side experimentation; personalization and product recommendations; feature management (progressive rollouts and kill switches included); behavioral insight tools like heatmaps, session recordings, and surveys; and Wandz, the suite’s shared AI layer.

Does Wingify support feature flags?

Yes. Feature management, including progressive rollouts and kill switches, is built into the suite, giving engineering and product teams a way to roll features out gradually and shut them off instantly if something goes wrong.

Does Wingify handle personalization?

Yes, it’s one of the suite’s core pillars, drawing heavily on AB Tasty’s strength in adaptive, behavior-based targeting, including Emotions AI for reading user emotional state and Adaptive CX for adjusting the experience as a visitor spends more time on-site.

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About the Author

Stephanie Safdie

Stephanie Safdie holds a bachelor’s degree in English Language and Literature from the University of Maryland, specializing in multimedia studies. She has worked as a social media video creator, freelance copywriter, SEO copywriter at Greenly climate tech, and runs a travel blog Destination Dreamer Diaries. 

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Article

Jul 24, 2026
11min read

What Does a Customer Success Manager Do: Your Expert Guide to Growth and Innovation

Stephanie Safdie

Stephanie Safdie

Main Takeaways

› Customer Success Managers are a key component to managing clientele

› Discover how a good customer relationship can completely change your business

› Ways to implement the best customer strategy

› Discover why our customers rave about AB Tasty’s CSMs

The hardest part of A/B testing isn’t the statistics – it’s the human psychology behind it all, and that’s exactly where the commonly asked question of “what does a customer success manager do” steps into the picture and changes the game. 

While most people think customer success is about dashboards and monthly reports, the reality is that Enterprise SaaS runs on stakeholder management disguised as software.

We’ve learned at AB Tasty that Customer Success Managers (CSMs) can be the secret weapon to empowering your team to accomplish more. Between their exceptional knowledge on how to optimize websites and savvy communication skills – CSMs could be the bridge between seeing the rainbow from afar and collecting the pot of gold at the end of it.

What is a CSM? A Strategic Partner for Your Boldest Ideas

In the world of Enterprise SaaS, a Customer Success Manager (CSM) is often viewed as a project manager or support liaison. But at AB Tasty, we see it differently. A CSM isn’t just there to give you cold advice, but be a dedicated partner in strategic guidance who’s here to help your team move faster, test bolder, and see real results.

CSMs bring deep expertise in website optimization and user experience to the table. Beyond just explaining features, our CSMs are there to educate and empower your team by helping to translate your high-level business goals into a concrete experimentation roadmap. This ensures that every test you run is a step toward meaningful progress – demonstrating how CSMs work with brands to monitor quality over quantity in testing.

From Go-Lives to Guidance

A CSM’s true value is their ability to align your entire organization around a culture of experimentation. They act as the connector between your vision and the technical execution. Whether they’re helping a stakeholder see the long-term value of a CRO program or sharing best practices on how to optimize a checkout flow (can link to PDP to checkout article here), they’re focused on one thing: making sure you have the support you need to turn every idea into an insight.

By pairing their technical knowledge with a deep understanding of your unique business needs, our CSMs work hard to make sure you aren’t just using a tool – but that your brand is building a repeatable engine for growth.

Optimization cro snap l’occitane maybe here?

Building a Culture of Confidence, Together

Investing in an experimentation platform is a bold first step, but the real magic happens when that tool becomes a core part of your team’s culture. We’ve seen that the most successful brands don’t just “use” software: but embrace a culture of continuous learning and curiosity.

This is where our CSMs shine. They know that while a dashboard shows you the “what,” the human side of the partnership defines the “how.” They aren’t just here to monitor product adoption; they’re here to be your team’s biggest advocates and expert coaches.

More Than Metrics: A Partnership for Progress

SaaS companies often get caught up in cold operational terms like “retention” or “onboarding.” But at AB Tasty, we know that true success is much more human. Our CSMs focus on building deep relationships across your entire organization, ensuring every stakeholder, from analytical to executive teams, are all aligned and excited about the journey ahead.

It’s about more than account management. it’s about organizational alignment. Our CSMs are experts at:

  • Building Bridges: Connecting different teams to ensure everyone is moving toward the same goal.
  • Fostering Trust: Creating a safe space for teams to test bold ideas and learn from every result.
  • Sharing the Wins: Making sure your internal successes are celebrated and visible across your company.

Ultimately, our CSMs are here to help brands build an  experimentation program that isn’t just a project – but a thriving, repeatable engine for growth that your whole team believes in.

More Than Onboarding: What Customer Success Really Looks Like

The conventional understanding of a Customer Success Manager is a clinical one – but in reality, it’s deeply human.

Our CSMs have a remarkable ability to engage people who know little to nothing about experimentation – and get them genuinely excited about it. That’s not a small thing. It takes patience, skill, and a real commitment to meeting people where they are – because not one personality or business is the same.

That’s why our CSMs always apply a customized approach. Whether it’s onboarding, maintaining a long-term relationship, or building out a full CRO program – every client gets something personally tailored to them. And before we ever get into the nitty gritty of optimization and experimentation, we prioritize one thing above all else: building the relationship.

We listen. When a client tells us they need more information or that something isn’t clicking, our CSMs dig deeper to understand what they actually need – and then we find the right solution together. That happens on both a personal and professional level. And yes, even though we’re a web optimization company, we still love being face to face. Some of the best breakthroughs happen in a room together.

From Training Wheels to Riding Solo

One of the most rewarding parts of the CSM role is watching a client’s mindset evolve.

We’ve seen clients come in completely focused on conversion rates and revenue metrics – and as we move through the onboarding process together, we challenge them to think bigger. What do you actually want out of your optimization experience? What does success look like for your team?

It’s a bit like learning to ride a bike. In the beginning, you need the training wheels – the guidance, the structure, the reassurance. But over time, as confidence builds, clients start creating their own creative testing ideas and executing them independently. They go from chasing a 3% conversion rate to building a personalized, high-impact experimentation program they’re genuinely proud of. That’s the transformation we’re here for.

When Clients Take the Wheel

One of our favorite things to see? When clients take the momentum and run with it themselves.

A lot of our clients are doing it now – the end user will build out a newsletter internally, or we’ll help support that, but usually they take it upon themselves. They’ll send it to the wider team, to the wider business, and showcase the results of each test they’re running. It gets people motivated. Others start weighing in on what to work on next. It becomes an inspirational piece that gets more people involved – and we love it when that kind of process takes hold with clients.

Because when that happens, the culture of experimentation isn’t just alive – it’s self-sustaining. And that’s exactly where we want every team to be.

The Real Work of Customer Success Happens Between the Lines

Getting to the heart of what a customer success manager does requires reading between the lines. 

An average day in the life of a CSM is more multifaceted than many of us are led to believe. It usually includes breaking the ice by asking clients about their weekend, reading emotional cues, sensing shifts in motivation, diffusing tension, and carefully reframing disagreements. 

Every Enterprise Account Has a Group Chat, a Power Map, and a Politics Problem

Long-term success requires embedding your product into the cross-functional fabric of an organization. This is where the CSM’s skill in stakeholder mapping becomes vital.

Without executive alignment, even the most successful experimentation program is at risk if a leadership disconnect exists. A major part of the CSM role is fostering internal visibility for the end-user’s wins. One of the most effective ways to do this is through internal marketing. This helps clients build newsletters that showcase test results to the wider team.

This isn’t just about reporting, but about building an internal alliance and aiming to secure business buy-in from the top down. When you turn a single advocate into a multi-departmental network of supporters, you reduce the risk of having only one person championing the cause. 

Every enterprise account is a trust building exercise, and the CSM is the lead strategist making sure the program doesn’t lose its vote when internal politics shift.

Momentum Starts with the Energy in the Room

While dashboards show you what’s happening, they don’t always capture the why. At AB Tasty, we believe that true success starts with the “energy” of the partnership. Our CSMs look beyond the metrics to the true pulse of your team’s engagement. We’ve found that the boldest breakthroughs happen when a team is curious, engaged, and ready to move fast.

Our CSMs are experts at identifying these “growth signals” – those moments of high curiosity and collaborative excitement that indicate a team is ready to go further. 

We look for:

  • Proactive Curiosity: When teams start asking “what if” and “why not,” it’s a sign that they’re fully engrained in the experimentation mindset.
  • Collaborative Brainstorming: A vibrant exchange of ideas is the ultimate indicator of a healthy, forward-moving program.
  • Shared Wins: When clients are eager to showcase their results to the wider business, we know we’ve built more than just a workflow – we’ve built a culture.

By keeping the momentum high and the human connection strong, our CSMs ensure your optimization journey is always moving forward, fueled by a team that’s truly excited to see what’s possible

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From Vision to Value: The Moment Your Strategy Becomes Reality

The transition from a final sales pitch to the first setup call is an exciting moment – it’s where “possibility” starts to become “progress.” At AB Tasty, we believe our CSMs are the architects who help build the bridge between your high-level goals and a living, breathing digital strategy.

Instead of sitting in the middle of a “gap,” our CSMs act as your strategic facilitators. They take the big ideas discussed during the sales cycle and translate them into a concrete, actionable plan that works for your teams’ exact environment and internal structure. Their goal is to ensure you feel supported every step of the way as you move from a pitch deck to a real-world experimentation program. 

By building deep rapport with your internal engineers and product leads, they provide the clarity and collaborative problem-solving needed to turn your digital ambitions into measurable results.

The Most Important Thing a Customer Success Manager Manages Isn’t Software

Excellent customer success looks technical from the outside, but in reality – its main methodologies are to be emotional, political, and rational at an enterprise level. 

It’s true that software, metrics, and experimentation matter – but the real success factor is whether people inside the organization trust one another enough to adopt change.

The most important metric in enterprise SaaS may not be conversion rate. It may be whether people still care enough to show up. Behind every ‘data-driven’ company is a group of people trying to convince one another to believe in change.

That’s exactly why the hidden job of a customer success manager isn’t managing software. It’s managing belief.

The Takeaway: Why Human Success Matters

At the end of the day, AB Tasty is a powerful tool, but it’s the CSMs who turn that tool into an organizational culture. By daring to take the next best test and initiating the next personal conversation, our CSMs ensure that enterprise SaaS remains human-led.

Looking to improve your customer perception and drive meaningful CRO outcomes?

Connect with an AB Tasty expert to see how our highly trained CSMs can support your experimentation journey.

Let’s go further, together.

FAQs

Still have questions about CSMs? Here are the answers you need.

What does a Customer Success Manager (CSM) do?

At its core, a CSM is responsible for ensuring that a customer achieves their desired outcomes while using a product. In the world of Enterprise SaaS, this goes beyond simple support – becoming a CSM involves acting as an “organizational therapist” who bridges the gap between sales promises and technical reality, manages onboarding, and fosters a culture of experimentation within the client’s business.

What is the difference between a CSM and a CRM?

A CSM (Customer Success Manager) is a person – a strategic partner who advocates for the client and drives long-term value. A CRM (Customer Relationship Management), on the other hand, is typically a software tool (like Salesforce) used to store data, track interactions, and manage the sales pipeline. While the CRM tracks the data of a relationship, the CSM manages the energy and success of that relationship.

What skills do you need to be a successful Customer Success Manager?

A successful CSM needs a blend of hard and soft skills. These can include the ability to connect with clients on a personal level to break down barriers, identifying “emotional triggers” of churn, such as a lack of curiosity or radio silence, before they show up in the data and the ability to map stakeholders and build buy-in across different levels of a client’s organization.

What degree do you need to become a Customer Success Manager?

Most CSMs hold degrees in Business, Marketing, Communications, or Psychology, but there is no “standard” degree for the role. Because the job is so heavily focused on intuition and relationship management, many successful CSMs come from diverse backgrounds – what matters most is a track record of driving value and the ability to navigate complex human and organizational dynamics

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About the Author

Stephanie Safdie

Stephanie Safdie holds a bachelor’s degree in English Language and Literature from the University of Maryland, specializing in multimedia studies. She has worked as a social media video creator, freelance copywriter, SEO copywriter at Greenly climate tech, and runs a travel blog Destination Dreamer Diaries. 

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Jul 15, 2026
12min read

Inside Wingify: The Digital Experience Optimization Suite Driven by AB Tasty and VWO

Stephanie Safdie

Stephanie Safdie

Main Takeaways

› Wingify is the Digital Experience Optimization (DXO) suite that now houses both AB Tasty and VWO.

› It unites personalization, experimentation, feature management, customer insight, and AI under a single roof.

› Current AB Tasty and VWO products keep running as-is while they’re gradually folded into one Wingify experience.

› Wandz is the AI engine woven through every part of the suite.

Wingify is a Digital Experience Optimization (DXO) suite built for teams that need to build, test, personalize, and refine digital experiences across web, mobile, and backend environments. With the 2026 merger of AB Tasty and VWO, Wingify has become the shared suite brand for both platforms, and the tools you’re already using are steadily coming together into a single ecosystem, sitting on one data and AI foundation.

Below, we break down what the suite actually contains, how the different pieces work together, and what changes (and what doesn’t) if you’re currently on AB Tasty or VWO.

What is Wingify?

Wingify brings two established, independently built platforms, AB Tasty and VWO, together under one roof, reachable at app.wingify.com. For now, in mid-2026, each still functions as its own suite while the underlying engineering, data models, and workflows are merged step by step over the coming quarters. Nothing about your current contract, pricing, or support changes in the meantime.

In practical terms, Wingify is built around seven interlocking capability areas: personalization, experimentation, feature management, behavioral insight, user surveys, commerce, and AI, topped off with an enterprise governance layer so larger organizations can run everything at scale across teams and geographies.

What you get inside Wingify

Wingify folds everything AB Tasty and VWO used to offer separately into one DXO suite. Rather than juggling several point tools, teams can now move through every stage of optimization from a single place.

Personalize every customer touchpoint

This is where AB Tasty’s DNA is most visible. It covers:

  • Experience personalization: delivering different content, page layouts, or flows to different visitor groups, without maintaining separate page versions.
  • Behavioral targeting: firing personalized experiences based on a visitor’s on-site actions, such as pages browsed, dwell time, cart activity, or how far they scroll.
  • Dynamic content and product recommendations: showing tailored content or product suggestions to each visitor, widely used across e-commerce and media sites.
  • Audience segmentation: assembling reusable visitor segments from behavioral, demographic, or CRM data, shared across both personalization campaigns and experiments.
  • AI-driven personalization: tools such as Emotions AI, which reads on-site behavior to gauge a visitor’s emotional state, and Adaptive CX, which evolves the experience the longer someone stays on a page.

The key difference from a standard A/B test is timing: personalization doesn’t sit around waiting for a statistically significant winner, it continuously serves each segment its best-known experience, while experimentation keeps refining what “best” even means.

Run experiments with confidence

This is the territory most closely tied to VWO’s roots. It spans:

  • Web A/B testing: pitting two or more page variants against live traffic to see which one moves a target metric, such as signups, purchases, or add-to-cart rate.
  • Split URL testing: comparing entirely separate URLs, useful when a redesign is too extensive to represent as a single-page variant.
  • Multivariate testing (MVT): testing several page elements in combination (say, headline, image, and CTA together) to find the strongest overall combination instead of isolating one variable at a time.
  • Server-side experimentation: running tests within backend logic, essential for anything client-side JavaScript can’t touch, like pricing logic, algorithms, or checkout flows.
  • Mobile app experimentation: running controlled tests inside native iOS and Android apps through an SDK, including feature testing that doesn’t depend on app-store review cycles.

This matters because real product decisions rarely live in just one layer, a checkout overhaul, for example, might need a front-end A/B test, a server-side pricing experiment, and a mobile counterpart, all tracked against the same success metric.

Power commerce performance

For retail and e-commerce teams, Wingify offers AB Tasty Commerce, bringing product search, recommendations, and merchandising together in one system instead of three separate tools.

It packages AI-driven product recommendations (frequently bought together, recently viewed, trending, and similar items, among other models), on-site search that understands typos and natural-language queries without manually built synonym lists, and merchandising controls that let business teams reorder products, promote or suppress specific items, and launch campaigns without pulling in a developer. Because search, recommendations, and merchandising draw on the same rules and data, a change made in one place is reflected consistently everywhere, with reporting that covers all three together.

This layer is aimed squarely at lifting conversion rate and average order value on product-heavy sites, working alongside the broader experimentation and personalization layers rather than overlapping with them.

Ship features without the risk

This is where product engineering meets experimentation, giving teams a way to release code without staking the entire rollout on launch day:

  • Feature flags: switches that turn functionality on or off without a fresh deployment.
  • Progressive rollouts: rolling a feature out to a growing share of users (1% → 10% → 50% → 100%) instead of releasing to everyone simultaneously.
  • Kill switches: a way to shut off a misbehaving feature in production instantly, with no code changes required.
  • Canary releases: trying a new feature out on a small, often internal or low-risk group before a broader release.
  • Feature experimentation: running a genuine A/B test on what a new feature actually does to key metrics, rather than shipping it and hoping for the best.

Understand what customers are actually doing

Every other layer depends on the insight this one provides:

  • Heatmaps show where visitors click, scroll, and move across a page.
  • Session recordings replay individual visitor sessions so you can see precisely what happened and where someone got stuck.
  • Funnel analysis pinpoints where visitors abandon a multi-step process, like checkout or onboarding.
  • Visitor behavior analytics roll up how traffic engages with a site or app over time.
  • AI-enhanced research, surveys, and feedback, powered by Blitzllama’s technology (acquired by Wingify in 2025) and branded Pulse, which layers AI-assisted analysis on top of qualitative input like open-text survey answers and user feedback.

This layer is what tells a team what to test next; it’s the diagnostic step ahead of a hypothesis, not simply a dashboard you glance at after the fact.

Optimize everything with Wandz

Wandz is Wingify’s AI layer, and it lives inside the suite itself rather than sitting off to the side as a bolt-on assistant. That distinction is important: a generic AI tool knows nothing about your actual experiment setup, variations, traffic split, success metrics, or audience definitions, so every question starts with exporting data and re-explaining context from scratch. Wandz skips that step because it already operates inside the same environment where the experiment lives.

Wandz merges what AB Tasty previously delivered through its Evi assistant with what VWO offered through Copilot. In practice, it can:

  • Explain results in plain language, answering things like “how did this campaign perform on mobile versus desktop” or “show me every test we’ve run on the checkout page,” without anyone touching a CSV export first.
  • Suggest hypotheses and experiment ideas grounded in real campaign performance and behavioral data, and able to factor in outside material like a competitor screenshot or a project brief.
  • Check configurations before launch, scanning metrics, audience targeting, and traffic allocation for likely errors before a test or rollout goes live, essentially a pre-launch QA check.
  • Build and modify campaigns via the AI Editor, letting teams set up or tweak an experiment through natural-language instructions, with every change staying visible and reversible before the team ships it.

Wandz is built to cover the full experimentation journey: setup, targeting, analysis, and iteration, rather than being confined to a single feature.

Govern optimization at enterprise scale

For organizations running optimization programs across several teams, brands, or regions, Wingify provides:

  • Role-based permissions that govern who can launch, edit, or view experiments and campaigns.
  • Audit logs that track changes for compliance and accountability purposes.
  • Collaboration workflows, approval chains, and shared workspaces, so marketing, product, and engineering can work off the same experiment without colliding.
  • APIs and integrations linking the suite to analytics platforms, CDPs, CMSs, and internal data warehouses.
  • Security, compliance, and multi-team governance controls are the safeguards larger or regulated organizations need to run experimentation at scale.

How it all fits together

Bringing these layers together only pays off because they run on the same underlying data, letting a team move through the entire loop without re-exporting or re-explaining context at each handoff:

Customer behavior → behavioral insight → hypothesis generation → experimentation → personalization → commerce → feature rollout → AI-powered analysis → back to customer behavior.

A heatmap flags friction on a checkout page.

That observation turns into a hypothesis.

The hypothesis becomes an A/B test.

A winning variation is rolled out as a personalized experience for a specific segment or shipped as a feature behind a progressive rollout.

Wandz analyzes the outcome and proposes the next test.

The same audience definitions, metrics, and historical data flow through every stage, illustrated below:

data driven experimentation cycle infographic vwo ab tasty

Who is Wingify built for?

Marketers

Test campaigns, personalize content, and lift conversion rates.

Product managers

Validate product ideas, oversee releases, and improve feature adoption.

Ecommerce teams

Deliver personalized shopping journeys and optimize every step of the customer path.

Growth teams

Run continuous experiments and surface the highest-impact optimization opportunities.

CX teams

Understand user behavior through a mix of qualitative and quantitative insight.

Engineers

Release features safely using feature flags and progressive rollouts.

What current AB Tasty and VWO customers need to know

Is AB Tasty becoming Wingify?

Yes. AB Tasty is moving under the shared Wingify brand, and over time, both AB Tasty and VWO are expected to fully converge under that umbrella. This is a branding shift, not a functional one.

Is VWO becoming Wingify too?

Yes, in the same way. VWO has also moved under the unified Wingify brand: the application moved from app.vwo.com to app.wingify.com (effective June 13, 2026), and VWO product names are being renamed accordingly (VWO Insights, for instance, is now Wingify Insights). Your existing plans, features, data, and access are unaffected.

Will the products themselves change?

Not right away. Your live website campaigns, mobile SDK campaigns, server-side experiments, tracking snippets, feature flags, and data collection keep working normally through the transition; only the dashboard changes. Over the medium term, expect AB Tasty’s strengths in personalization and AI-driven targeting to be woven more closely with VWO’s experimentation, analytics, and behavioral insight tools into one shared roadmap.

What happens to existing contracts?

Your current contracts, pricing, and service levels carry over unchanged as a result of the merger, and the team supporting you today keeps doing so.

What happens to logins?

If you’re a VWO customer, your account, settings, and credentials transfer over to app.wingify.com, though active sessions end the moment the domain switches, so you’ll need to sign back in at the new address. Single Sign-On (SSO) and SAML setups keep working automatically, since the SSO callback URL redirects to the new domain without any action needed on your side. Passkeys are the exception, since they’re tied to a specific domain for security reasons. A passkey created for app.vwo.com won’t transfer, so you’ll need to create a new one after logging in at the new domain. System emails, password resets, reports, and notifications now come from @wingify.com instead of @vwo.com, so it’s worth having your IT team allowlist that domain to keep them out of spam.

What happens to integrations?

Your integrations stay intact. VWO’s REST APIs are now served on the Wingify domain, and existing integrations keep working with no changes needed. The VWO SmartCode already installed on your site doesn’t need replacing either. IT teams should whitelist wingify.com and its subdomains in company firewalls to prevent disruption to features like session recording playback that run on those domains.

What stays exactly the same?

Your historical data, reports, settings, integrations, audiences, and configurations remain fully intact and accessible from the new domain. Contract terms, pricing, your support team, and service levels don’t change. Tracking snippets and live campaigns run uninterrupted throughout the switch. In short: what’s changing is the brand, and eventually, how deeply AB Tasty and VWO’s capabilities are integrated, not what you’re already paying for or how it works today.

Where digital experience optimization is headed

The next phase of digital optimization is about bringing personalization, experimentation, feature management, customer insights, and AI into a single suite, where each capability builds directly on the last.

That’s precisely the role Wingify is built to play.

Wingify gives teams one foundation for continuous digital growth, from understanding customer behavior through to launching new features and refining every interaction. Start a free trial or book a demo to see both platforms working as one unified suite.

FAQs

Still have questions about Wingify? Here are the answers you need.

What is Wingify?

Wingify is the combined Digital Experience Optimization suite formed by AB Tasty and VWO following their 2026 merger.

What’s included in Wingify?

Wingify covers web, mobile, and server-side experimentation; personalization and product recommendations; feature management (progressive rollouts and kill switches included); behavioral insight tools like heatmaps, session recordings, and surveys; and Wandz, the suite’s shared AI layer.

Does Wingify support feature flags?

Yes. Feature management, including progressive rollouts and kill switches, is built into the suite, giving engineering and product teams a way to roll features out gradually and shut them off instantly if something goes wrong.

Does Wingify handle personalization?

Yes, it’s one of the suite’s core pillars, drawing heavily on AB Tasty’s strength in adaptive, behavior-based targeting, including Emotions AI for reading user emotional state and Adaptive CX for adjusting the experience as a visitor spends more time on-site.

What exactly is Wandz?

Wandz is Wingify’s shared AI layer, built directly into the experimentation and personalization workflow rather than bolted on as a separate tool. It combines what AB Tasty previously offered through Evi with what VWO offered through Copilot, so teams can ask plain-language questions about campaign performance, generate experiment ideas from real data, check campaign configurations before launch, and build or adjust campaigns through an AI Editor using natural language.

Does Wandz work across every Wingify product?

Wandz is designed to span the full experimentation journey, from campaign setup and audience targeting through to results analysis and hypothesis generation, rather than being limited to one feature. As AB Tasty and VWO’s underlying suites continue merging, Wandz is intended to extend across that combined surface, though how quickly it reaches every individual feature will vary as integration work continues.

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About the Author

Stephanie Safdie

Stephanie Safdie holds a bachelor’s degree in English Language and Literature from the University of Maryland, specializing in multimedia studies. She has worked as a social media video creator, freelance copywriter, SEO copywriter at Greenly climate tech, and runs a travel blog Destination Dreamer Diaries. 

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Jul 10, 2026
10min read

Gen Z vs Millennials: How to Optimize for Each Generation

Stephanie Safdie

Stephanie Safdie

The Myth of the “Universal User”: Why Generational Intelligence is Your Best Conversion Tool

As brands race to expand their reach across an increasingly crowded social media landscape, many have lost sight of an important reality: not every customer is the same, and a one-size-fits-all approach is no longer enough.

From a young adult  scrolling on TikTok in comparison to older age groups on Facebook could have entirely different needs or interests, meaning each of them deserves an experience tailored to their intent, context, and generational perspective.

One way to meet the high expectations and personalized needs of younger generations, like Gen Z and Millenials, is with Audience Segmentation. When we make assumptions about user needs according to age, we don’t have enough concrete data to act accordingly. That’s why at AB Tasty, we believe it’s important to be brave and test bold: as all assumptions are simply hypotheses until they are validated through experimentation.

This article will break down the differences between Gen Z and Millennials when shopping online and the ways that brands can optimize their pages accordingly. 

Defining the Gap: From the Great Recession to the Digital Natives 

Although some Gen Z and Millennials aren’t even 20 years apart, the two age groups couldn’t be more different. 

According to the Census Bureau, we can define generational boundaries between Millennials and Gen Z:

Millennials:Gen Z:
People born between 1982 and 2000 People born between 1997 and 2012
prefer emailsmore social media savvy
opt for face-to-face communicationwere born with the digital world and are accustomed to instantaneous, screen-based communication
overall more skeptical practice positivity and optimism

How are Gen Z and Millennials Different? 

Gen Z are known to be far more tech savvy than their Millennial counterparts – who witnessed the birth of technology and the transition from analog to digital, but didn’t grow up with it. As a result, Millennials are more bound to do this “the old school way” – such as searching for reviews on Google or looking for more information about a brand online. 

It’s also important to note that Millennials were conditioned to be more skeptical due to the Great Recession – which can apply to their shopping habits, too. 

Ultimately, Millennials serve as the bridge between previous generations and the hyper-connected future.

Gen Z, on the other hand, is far more likely to use social media apps to vet if a potential product or service is worth considering. They are true digital natives who grew up with a mobile phone as an extension of their identity.

This contrast in expectations highlights a massive shift, and one that is worth learning about if brands want to optimize for each generation accordingly. 

iphone face down on coral background

The Search Revolution: Social Media as the Modern Google 

The thing that brands should be most aware of today is that social media is no longer just for connection; it’s a search engine where many people are more likely than not going to find your brand.

This is increasingly relevant to understand when it comes to optimizing your webpages for Gen Z. In fact, 67% use Instagram and 62% use TikTok as their primary search tools for discovery. This makes it all the more important to ensure that you personalize the experience for them after they find you on their respective social media apps.

The Impact on Web Optimization

When a user discovers your brand through a peer recommendation or influencer campaign, they expect a seamless transition to your website. If they click a link from an interactive, highly visual social app and land on a static, generic homepage, the disconnect is jarring.

For younger generations, this immediate friction is a primary driver of high bounce rates. They have developed a distinct digital intuition shaped by endless scroll feeds. To keep them engaged, your website must maintain that “social aesthetic.” This means prioritizing highly visual layouts, integrating user-generated content directly onto product landing pages, and presenting a flow that feels native to the interactive platforms they use every single day.

Solving Problems Together: The AB Tasty Solution

This is where real-time personalization becomes your most valuable tool. 

Using AB Tasty, you can dynamically tailor your landing pages based on referral sources. For instance, if a visitor arrives from social media, such as Instagram or TikTok – the platform automatically recognizes the source and instantly swaps out generic banners for video-first content, personalized product recommendations, or curated lookbooks that mirror the exact “vibe” of the ad or post they just came from.

By aligning the on-site experience with the context of their arrival, you ensure the web journey feels as fluid and engaging as their favorite social feed. This level of responsiveness is no longer just an advantage – it is a baseline requirement to capture and convert younger audiences

Optimizing for the Millennial Pragmatist (The Efficiency Seekers) 

Attracting and keeping Millennials attention is an entirely different ball game. This is because Millennials are inherently much more pragmatic than Gen Z, meaning it’s important to cater to their needs accordingly. 

How to Optimize Your Web Pages for Millennials with AB Tasty

Trust Icon

Trust Signal Testing

Using our Visual Editor to test the placement of reviews and security badges to satisfy their need for credibility. This is because Millennials still compare and contrast reviews, more likely to read the written comments on say, a Google review or website page than Gen Z.

Cross-Device Icon

Cross-Device Optimization

Ensuring a seamless flow between mobile phone research and desktop checkout. Millennials shop on their computers more than Gen Z does, meaning it’s important to ensure that desktop setups remain consistent and approachable.

Loyalty Icon

The Loyalty Edge

Personalizing homepages based on repeat-purchase behavior, as Millennials prioritize brand loyalty.

Millennials Value: Convenience and speed. They remember the slow web and have no patience for it.

Optimizing for the Gen Z Purist (The Authenticity Seekers) 

Gen Z is infamous for being attached to their phones and one-with-the-digital-world. While it may come off as a con to older generations, there are a lot of upsides to using their digital fluency to your brand’s advantage. 

How to Optimize Your Web Pages for Gen Z with AB Tasty

Mobile Icon

Mobile-First Personalization

If your mobile site isn’t perfect, they’re gone. This is because Gen Z has a short attention span for electronic layouts that feel sterile or visually unappealing – especially when a site appears outdated.

Visual Merchandising Icon

Visual Merchandising

Using our Commerce suite to prioritize short-form video content over static text. This is because Gen Z is much more likely to research a product or service via video content over written text.

The Vibe Test Icon

The “Vibe” Test

Using A/B testing to find the right balance of user-generated content (UGC) vs. professional photography. Gen Z gravitates more towards user-generated content, so it’s important to attract them with this in your web pages.

Gen Z Values: Authenticity and real-experiences. These post millennials can spot “corporate fake” a mile away. They want visual-first, high-vibe, and personalized.

The AB Tasty Advantage: Turning Insight into Conversion Uplift 

Granular Segmentation: Tailoring the Journey for Every Generation

Creating segments catered to different age groups to test unique flows for each doesn’t have to be a mystery with AB Tasty. 

To move from broad generalizations to active conversion gains, you need the ability to slice your audience based on real-time behavior and digital context. 

Instead of relying on outdated static profiles, you can set up advanced parameters that dynamically filter your traffic. 

Here’s a breakdown of how audience segmentation would work with AB Tasty: 

  1. Build Your Segment: You can build a segment for your younger generations by targeting visitors who arrive via mobile-specific social referrers (like TikTok or Instagram) and exhibit rapid scroll speeds. 
  2. Establish Separate Segments for Gen Z vs. Millennials: Simultaneously, you can maintain a separate segment for older generations who land on your desktop site via organic search or email campaigns.
  3. Develop Unique Tests for Each Age Group: Once these custom segments are established, it’s easier to then directly test unique digital journeys for each group. This could include serving Gen Z users a highly visual, swipe-friendly product layout designed for quick decision-making, or presenting Millennials with a structured page that prominently features detailed product specs, verified customer reviews, and clear return policies.

This dynamic approach allows your team to stop guessing what works and starts acting on experiences that directly match the distinct browsing habits of every generation.

Conclusion: The Progress is Personal

Ultimately, decoding the shifting preferences between Millennials and Gen Z isn’t about slotting your audience into rigid boxes. It’s about realizing that every single visitor arriving on your site carries unique intents, expectations, and digital preferences. 

True optimization goes far beyond generic age brackets. It’s about putting the user first and using real-time behavioral cues to make every individual feel seen, understood, and valued.

Whether your visitor is a desktop-loyal shopper or a mobile-first social browser, their journey should feel tailor-made for them. Bridging this generational divide doesn’t require guesswork – but the right toolkit. 

Optimizing according to each generation doesn’t have to be a mystery. By using AB Tasty’s comprehensive experimentation and personalization platform to bridge the generational divide and remove digital friction – your brand can successfully boost your conversion rates today.

Let’s dare to go further, together. 

FAQs

Still have questions about optimizing for Gen Z vs. Millenails Here are the answers you need.

How do Gen Z and Millennials shop differently?

Gen Z is more likely to come across future products and purchases through social media, influencers, and short videos – as they often value brand authenticity and social impact. Millennials rely more on online reviews, comparison shopping, and brand loyalty when making purchases.

How can brands optimize for Gen Z’s preference for authenticity?

As Gen Z values brand authenticity, the post-click experience should prioritize User-Generated Content (UGC) and visual consistency. AB Tasty helps brands test various user-generated content, such as galleries and multi-angle imagery on webpages, which provide the immediate, unfiltered social proof this generation needs to feel they “know” a product before buying.

How does message alignment cater to the Millennial need for detailed information?

Millennials are driven by online reviews and brand loyalty. By using AB Tasty to ensure that a specific social ad’s message is depicted the same way on a dedicated landing page, brands build a consistent, transparent narrative. This alignment satisfies the Millennial need for reliable info while avoiding the high costs of manual PDP personalization.

Why is closing the ‘Expectation Gap’ critical for both generations?

Whether a visitor is a Gen Z influencer-follower or a Millennial comparison-shopper, a landing page that doesn’t match the energy of the social post leads to instant drop-off. AB Tasty allows brands to bridge this gap by curating the funnel and showing users the exact information and visuals they expect based on where they came from.

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About the Author

Stephanie Safdie

Stephanie Safdie holds a bachelor’s degree in English Language and Literature from the University of Maryland, specializing in multimedia studies. She has worked as a social media video creator, freelance copywriter, SEO copywriter at Greenly climate tech, and runs a travel blog Destination Dreamer Diaries. 

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Jul 8, 2026
11min read

The Optimization Loop: How Behavioral Data Fuels Continuous Progress

Stephanie Safdie

Stephanie Safdie

Main Takeaways

› The importance of behavioral data in experimentation

› Examples of behavioral data such as heatmaps, scroll depth, and funnel analysis

› Clarifying how optimization should be viewed as a continuous process

› How Wingify’s AI tools can help brands develop faster and smarter experimentation

Brands at a crossroads don’t need to look any further to find the answers they’re looking for: behavioral data doesn’t lie.

Every optimization team has been there. You land on a 3% dip in conversion on your checkout page. Your dashboard tells you exactly what happened, but it doesn’t say a word about why.

So, you starting throwing out random guesses – is the CTA color off? Shipping info too far down on the page? 

You launch an A/B test based on a hunch just like these, wait two weeks, and… nothing new happens. No uplift. No insight. Just a flat line.

Testing based on a gut feeling is like trying to fix a car engine by looking at the dashboard. You can see the “check engine” light is on, but you won’t know if it’s a spark plug or a fuel line until you pop-up the hood and get to the underlying problem.

In the world of optimization, behavioral analytics is exactly how you pop the hood – helping brands to stop guessing, and start acting.

But here’s the thing: you don’t just pop the hood once. True optimization isn’t a one-way destination from data to test – but a continuous loop where every insight feeds the next test, and every experiment uncovers a new layer of user behavior.

The Upside of Knowing Where Friction Lives

Teams that start with observed behavior don’t just run better tests: they run fewer bad ones. 

That means increased cost savings, less impact on tight budgets, fewer inconclusive results, and more resources to implement the experiments that actually move the needle on conversion, engagement, and revenue.

The difference between a team that guesses and a team that watches is compounding. Every revelation sharpens the next hypothesis. Every test result feeds back into the behavioral picture. Over time, that loop becomes your biggest competitive advantage – as your brand won’t just be moving towards its better once, but over and over again.

“What” vs. “Why”: The Gap Behavioral Analytics Closes

Traditional analytics tools are great at counting… but not at telling.

They can keep track of clicks, sessions, and revenue – but they’re terrible at showing the full story behind those user behaviors. It’s kind of like showing you the finish line, but not showing you the journey it took to get there. 

Behavioral analytics tools, like heatmaps, session recordings, and funnel analysis – fill that gap. It shifts the focus from what users are doing to how they’re experiencing your site.

Additional ways that these tools can help brands better pinpoint friction include:

  • Scrollmaps: A visual layer that shows how far down a page users end up scrolling. The darker areas reveal the main point people reached, whereas the lighter areas represent more significant drop-off. This can help brands determine whether a CTA, a value proposition, or a product detail is even being seen, and if not – how to adjust the page accordingly to make sure that it is. 
  • Form Analytics: A field-by-field breakdown of how users interact with your forms. This will demonstrate which fields take the longest to fill, which ones get skipped, which ones cause people to abandon entirely, and where the drop-off happens before someone hits submit. In turn, form analytics are the difference between knowing your form has a low completion rate and knowing exactly which field is causing people to not fill it out until the end.
  • Experience Scoring: An automatic friction-detection layer that scores sessions based on signals like rage clicks, dead clicks, and error clicks – which then surfaces the highest-friction sessions and segments for your team. Instead of manually hunting through recordings to find problems, experience scoring flags them for you. Think of it as your early warning system for UX issues that haven’t hit your support queue yet.

When you stop looking at users as numbers on a chart and start watching them move through your site as people, your perspective shifts. This is because you’ll finally see the hesitation, confusion, and rage clicks that are working against you – shedding on light on the experiments you could do to finally make them work for you. 

That’s where real progress starts.

yellow lightbulb

From Observation to Hypothesis

The goal of watching a session recording or looking at a heatmap isn’t just to find your main points of friction – but to gather enough evidence to build a better hypothesis. Basically, we’re not just trying to find the root of the problem – but create innovative ways to solve it.

Type of hypothesis Example
Weak hypothesis“We think changing the button color will increase clicks because it’s more visible.”
Strong, evidence-backed hypothesisWe noticed in session recordings that 40% of mobile users are rage-clicking the non-interactive header icon instead of the ‘Buy Now’ button. By clarifying the visual hierarchy, we expect to reduce confusion and increase conversion.”

That’s the main difference right there: one is a shot in the dark – and the other is a targeted, surgical strike.

Six Dimensions of Behavior: What Each One Tells You

To build those sharper hypotheses, you need the right set of diagnostic tools working together. 

Here’s how Wingify’s Analyze suite breaks it down:

1. Heatmaps and Scrollmaps

Think of these as your “attention” maps. They show you where people are looking, and just as importantly – where they aren’t. If your key value proposition is passed where the user usually scrolls, you’ve found your first test idea. Scrollmaps are especially powerful for long-form pieces of content where page placements can make or break engagement.

2. Session Recordings

Session recordings are the next best thing to sitting right next to your customer in real life. By filtering for friction signals like dead clicks, rage clicks, or hesitations, you can go straight to the moments that matter – without watching hours of footage. This is considered as the most powerful way to build empathy for your users.

3. Funnel Analysis

Break your user journey into measurable steps. By breaking down the shakiest parts of the customer journey and identifying the main drop-off points, you can jump directly into the session recordings of those specific users to see exactly what pushed them away from your website and ultimately – from converting.

4. Form Analytics

Forms are often one of the most stressful parts of a user’s journey. Shedding light on the fields that they skip, whether it be phone number, date of birth, address, or needing to keep refilling their password – form analytics will help pinpoint the exact moment where the momentum dies before someone ever hits submit.

5. Segment Analysis

Not all friction is universal. Segment analysis lets you filter any insight by device, geography, traffic source, or behavior. What frustrates a mobile user from paid search may be completely invisible to a desktop user arriving organically. Knowing the difference changes everything.

6. Experience Scoring

Experience scoring serves as your brand’s early warning system, as it automatically flags high-friction sessions. This allows your team to be free of the need to manually hunt for problems. By surfacing visitor segments the cause the most issues – brands can act before they churn, and working to avoid the problem before it even occurs.

One Suite, Endless Ways to Test

The beauty of behavioral evidence is that it doesn’t just fuel A/B tests, but several different types of experimentation.

Once you understand the why, you can choose the best test to move forward and improve your brand’s conversion rate and loyalty long-term:

A/B Testing icon

A/B Testing

For when you have two distinct ways to solve a friction point.

MVT icon

Multivariate Testing (MVT)

For when you need to understand how multiple elements on a page interact with each other.

Personalization icon

Personalization

For when a friction point affects a specific segment – like mobile users from a paid campaign.

Feature Rollouts icon

Feature Rollouts

For when you want to see how users interact with a new feature in real time before releasing it to everyone.

The same behavioral insight can power all of them. That’s what makes Analyze the foundation of a full optimization program as opposed to a simple A/B testing add-on.

Wandz: The AI Layer That Keeps the Loop Moving

We’ve built Analyze to work seamlessly in conjunction with Wingify’s experimentation and personalization tools. 

When you find a friction point in a session recording, you shouldn’t have to switch tools or rewrite a brief to start a test. That’s why we’ve made it possible to move from discovery to running an experiment in minutes.

That connection is made possible by our AI layer, by Wandz – which holds the entire Analyze suite together. Wandz powers the “Identify Friction” button, which means teams without Analyze won’t have access to it, ultimately serving as the intelligence layer that turns six tools into one coherent workflow.

In practice, Wandz helps your team:

  • Summarize session recordings: Instead of watching hundreds of videos to get inside your customer’s mind, your brand can get a clear picture of patterns across sessions in seconds.
  • Analyze heatmap data: Heatmaps allow brands to uncover the most meaningful click and scroll patterns without needing to manually interpret the data. This permits teams to dedicate their time and resources to testing new ideas instead of the grunt work associated with trying to interpret the information from scratch.
  • Generate hypotheses: Brands can move from a friction signal to a testable idea faster, with AI-backed context from your own campaign data.

Think of Wandz as the engine that keeps the loop spinning. It ensures your team spends less time digging through data and more time acting on it – all at the speed your customers actually move.

These days, teams are under immense pressure to move faster – making it tempting to pursue short-cuts like copying and pasting reports into generic AI Tools. But there’s a hidden cost to doing this. 

Generic AI doesn’t know how your traffic is split amongst differing demographics, variations, audience segmentations, and past experiments – meaning it may answer with confidence that possibly shouldn’t even exist. This can be misleading information for brands trying to pave the path for greater success in web optimization.

Wandz is different as it lives directly inside the platform. It doesn’t just summarize, but acts as an intelligent interface between you and the real user data. Since this AI tool is woven into the experimentation journey, Wandz can take analytical data and suggest exactly where to test it on your behalf – allowing you to move from lessons to actions in seconds.

Dare to Look Closer & Loop Longer

Optimization isn’t a project with a single said-and-done deadline. It’s a continuous habit of asking better questions, listening more closely, and acting in line with those observations to stay ahead of the game.

By closing the gap between behavior and experimentation, you create a cycle where every test – win or lose – makes your next move smarter.

Teaming up with Wingify means brands can stop guessing, start watching, and keep the optimization loop moving.

Ready to see where your customers are actually getting stuck?

Let’s see what Analyze does in action, together.

FAQs

Still have questions about behavioral data? Here are the answers you need.

What is Behavioral Data?

Behavioral data refers to different aspects of human behavior. In the context of the experimentation world, behavioral data refers to the various ways a user interacts with a page that analytics tools track and measure – such as scroll depth, page views, and length of time on the page.

Why is Behavioral Data Important in Experimentation?

Behavioral data is important in experimentation as it allows brands to better understand customer patterns – such as how they interact with a page and for how long. By using behavioral data tools like heatmaps, scroll depth, form analytics, and funnel analysis – brands can curate an improved user experience to better accommodate what their users are looking for, which can encourage increased engagement, conversions, and brand loyalty.

Why is it important for brands to continuously optimize their landing pages, homepages, PDPs, and PLPs?

High bounce rates from social traffic usually point to an expectation gap – the page people land on doesn’t match what the post, ad, or reel promised them. Social visitors arrive with a specific intent shaped by what they just saw. If the landing page feels generic, slow to load, or visually disconnected from the content that drove the click, they leave – meaning it’s important to optimize accordingly to keep their interest all the way to checkout. 

How will Analyze help my brand boost conversions?

Analyze shows you exactly where your visitors are struggling – the pages they abandon, the forms they give up on, and the buttons they can’t find. This allows every test you run to be grounded in real behavior, not guesswork. That means sharper hypotheses, higher-impact experiments, and more conversions from the traffic you already have.

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About the Author

Stephanie Safdie

Stephanie Safdie holds a bachelor’s degree in English Language and Literature from the University of Maryland, specializing in multimedia studies. She has worked as a social media video creator, freelance copywriter, SEO copywriter at Greenly climate tech, and runs a travel blog Destination Dreamer Diaries. 

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Article

Jul 1, 2026
13min read

Conversion in Social Media: Where Do People Land Afterwards

Stephanie Safdie

Stephanie Safdie

Main Takeaways

› How to help brands carry social media visitors to conversion

› How personalization and testing can support social media conversion

› Fast loading and personally curated landing pages are key for social media conversion.

› How testing, AI, and real-time personalization help businesses boost social media conversion

Your Social Media Shapes the Journey. Here’s How to Make It Count.

Breaking news that you probably already knew: influencers and social media reputation management are taking over the world. 

You’ve been there before. Late nights on TikTok, with a brand mentioning a product you might like – and suddenly, you find yourself doom-scrolling the comments, Googling the brand name, and landing on the website: all within mere minutes. 

It’s no wonder that over 90% of consumers consider a brand’s online reputation before buying.

This reveals the deeper truth: your social media presence doesn’t just build awareness: it actively shapes where people go next and what they do when they get there.

Social reputation isn’t just about damage control – but an opportunity for conversion. 

Brands may find it challenging to cover the gap between “I’ve heard of you” and “I trust you enough to buy” – a journey that lives after that first social touchpoint.

In this article, we’re going to walk through what happens after someone finds you on social – and how to make that journey work smarter, not harder.

Why Social Media Conversion Matters More Than Ever for Gen Z and Millennials

Social media reputation management is more important than ever before: as younger generations like Gen Z and Millennials are audiences bound to research brands on social media apps before they Google them.

In fact, TikTok and Instagram are now search engines – with 40% of Gen Z now using Tik-Tok over Google for basic searches, like, “best places to eat in Paris” or “best mascara for long lashes”. This is how many consumers have discovered a product unintentionally on social media apps.

Brands should think of social media as another homepage. That’s because what people say about you often outweighs what your brand says about itself. Remember, UGC (user generated content) is perceived as 2.4x more authentic than brand-created content. 

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The Moment After the Scroll: Where Do People Actually Land?

The Click-Through Moment

Getting someone to click is one thing. Getting them to stay, and convert, is another.

After discovering your brand on social, users typically land on one of these pages, each with different conversion potential:

Landing DestinationAvg. Conversion RateWhy It Matters
Homepage1–3%First touchpoint, but requires navigation to find the product
Product Detail Page (PDP)2–3.5%Direct from shoppable posts or link in bio
Campaign Landing Page4–7%Tailored experience = strongest conversion potential
Product List Page (PLP)Varies by brandCurated view, but less focused than a dedicated landing page

Each of these is a different experience — and a different opportunity to move someone from curious to converted.

The Expectation Gap

When users find your brand’s product or service on social media – what they saw in a reel or ad now sets an expectation that they expect to be met. 

If the landing page doesn’t match the energy, tone, or promise of the social content – it can result in instant drop-off. This is exactly where reputation management meets UX optimization. 

The journey from social engagement to customer conversion is not random, but a carefully crafted experience shaped by trust, messaging, usability, and consistency. Every touchpoint, from a social post to a landing page, influences perception and guides users toward confident purchasing decisions.

Why Most Brands Lose People Here

The flip cards below will reveal some of the most common reasons why brands lose people after they find them on social media:

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Slow Load Times

People scrolling on social media have little to no patience; they want to find what they’re looking for as fast as possible.

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Generic Landing Pages

Users need a flow that reflects the social context—the reel, ad, or image that interested them in the first place.

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No Continuity

Seamlessness is everything. A lack of continuity between the post and the page leads to instant drop-off.

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Lack of Social Proof

Without reviews, UGC, or trust signals on-site, new visitors arriving from social channels won’t feel confident enough to convert.

Reputation Signals That Actually Drive Clicks (and Which Ones Kill Them)

How UGC Content Helps to Build Trust for Social Media Conversion

When User-Generated Content (UGC) leads users to your webpages, you’re probably dealing with visitors who have yet to learn what your brand is all about. 

In these moments, being able to communicate who you are swiftly and authentically is crucial to quickly closing the potential trust gap.

There is a lot that brands can do to boost trust with potential customers via social media reputation management, such as:

  • Clear Messaging: Social media engagement is all about consistency. People want a reliable, human brand voice across platforms. This is why something that immediately strikes them as, “Hey, I know that brand!” is always best. 
  • Transparency: A whopping 65% of consumers trust brands that openly address mistakes on social media. Brands that aim to respond to negative comments honestly and follow through on promises to improve build trust immediately with consumers.
  • Active Community Engagement: Immediate replies, collaborations with influencers or celebrities, and reposting UGC all help people feel more engaged with your brand and validate your presence to new visitors.
  • Verified Profiles: That “little check” next to a social media profile goes a long way to first time visitors. It remains a powerful signal, verifying that the account is “the real thing” with up-to-date information.

Beyond the Click: Optimizing the On-Page Experience for Arrivals From Social Media 

When users land on your site from social media, the transition from a fleeting reel or ad to your webpage is arguably the most crucial part of the conversion funnel. To bridge the gap between their expectations and reality, your on-page experience must be curated to match the intent and energy of the social content that brought them there in the first place.

Curating the Journey with Message Alignment

Landing pages offer the unique ability to control exactly what a user sees based on their origin. While standard Product Detail Pages (PDPs) can be expensive and challenging to personalize, dedicated landing pages allow you to make your brand better known, such as with:

  • Align Messaging: If you are running a specific ad set, your landing page should reflect that exact message. Consistency between the ad group and the landing page is key to preventing instant drop-off.
  • Guide the Funnel: Unlike a broad homepage, a curated landing page helps “hand-hold” the user through a specific journey, reducing friction and helping them navigate toward checkout faster.

Unified Visuals and Unique Brand Voice

To look like a professional eCommerce business rather than a third-party marketplace, your site needs a cohesive visual and verbal identity:

  • Product Photography Style Guide: Each product should be shot with unified lighting, size ratios, and layouts. This prevents your categories from looking like a disjointed “eBay” or “Google Shopping” feed and helps customers compare items objectively.
  • The “I Know This Product” Effect: Use several images at multiple angles to give users a comprehensive view. This creates a sense of familiarity and confidence, or the feeling of “knowing” the product, before they’ve even bought it.
  • Unique Product Descriptions: Your copy should never be a copy-paste from a vendor. It requires a mix of solid brand identity and technical info, ensuring descriptions are unique to your brand’s voice.

Bridging the Trust Gap

Visitors arriving via User-Generated Content (UGC) often don’t know your brand yet. You have seconds to communicate who you are and why they should trust you.

Here are some ways that you can quickly and successfully secure a user’s trust:

  • The Power of Reviews: According to Market Watch, 90% of customers do not trust items that have no reviews.
  • Show Alternatives: If a specific product isn’t quite right, use optimization tools to show related alternatives, keeping the user within your ecosystem rather than bouncing back to social media.
  • Extensive Detail & Social Proof: Beyond displaying star ratings, it’s important to provide information that existing customers care about:
    • Sizing accuracy (does it run small or big?).
    • Quality and value ratings.
    • UGC in Action: Images of the product in real customer homes or offices.
    • Practical advice and reviews on how to use the product.

The Signals That Create Doubt

Brands should keep in mind the specific social media behaviors that can create doubt: 

  • Ghosting or Sketchy Comments: Negative reviews deter up to 94% of consumers. Unanswered complaints, deleted comments, or inconsistent messaging between social and website could deter users from converting later.
  • Outdated Content: Information that isn’t up-to-date, missing details about a new product or service, or even ghost accounts can have users question the legitimacy of the brand. 
  • Too-Perfect Brand Voice: Even in the age of AI, people still appreciate clever human voices. Anything overly polished or inauthentic could sway users the wrong way. 

The Speed Factor

Social media crises spread 1,200% faster than traditional news cycles. That’s why response time is a reputation signal in itself.

Slow replies on your brand’s social media accounts can signal indifference to user’s interaction or satisfaction with the product or service. 

If you want to come across as passionate about putting the customer first, setting up monitoring alerts can allow your team to respond before a thread spirals.

Stay one step ahead of the social media spiral can help brands to seem cool, calm, and collected – all of which can further interest users to buy after they leave the social media ad they initially found the product on.

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From Scroll to Site: Optimizing the Landing Experience

To get users who found you on a social media site like Instagram or Tik Tok to stay on your site, it’s important to align every step to make users feel the transition from social media to “add to cart” is seamless. 

Match the Message to the Moment

The page someone lands on should feel like a continuation of what they saw on social media. 

For example, if a TikTok video shows a product being used in a specific way, the landing page should lead with that same use case. This is better known as, “message match” – and it’s one of the highest-impact things you can test

Mobile-First Is Non-Negotiable

The vast majority of social traffic arrives on mobile. This is why slow pages, hard-to-tap CTAs, and cluttered layouts can kill conversions before they even start.

Here is where the opportunity lies for brands to check load speed, CTA placement, image sizing, and form length – as seamless experiences for all of these can encourage people to go from laughing on social media to pulling out their payment info after adding to cart.

Social Proof on the Page

Bringing the social world onto your website can help people remember that the two are one-and-the-same. 

Promoting things from social media like reviews, star ratings, UGC galleries, and influencer quotes can all help to boost trust and conversions – especially for users who already arrived at the site skeptical about the brand and what it has to offer. 

Brands can test this by running an experiment to discover if social proof above the fold performs better than below. 

Why “Best Practices” Aren’t Enough

What works for one brand’s audience won’t necessarily work for yours. 

Remember, best practices are a starting point. The real answer to your brand’s long-term success is your data – as it can reveal which areas are most successful and which still have room for improvement. 

This is where experimentation comes in. Testing can remove the guesswork and replace it with confidence.

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FAQs

Still have questions about conversion in social media? Here are the answers you need.

How does personalization work for social media traffic specifically?

Personalization for social traffic means adapting the on-site experience based on where someone came from and what they engaged with. Think of a visitor who clicked from an Instagram story: they usually want to be brought to that specific product instead of a generic homepage. Even small, targeted adjustments like this can make a meaningful difference in conversions, relevance, and reducing drop-off rates.

Why is my social media traffic bouncing so quickly after landing on my site?

High bounce rates from social traffic usually point to an expectation gap – the page people land on doesn't match what the post, ad, or reel promised them. Social visitors arrive with a specific intent shaped by what they just saw. If the landing page feels generic, slow to load, or visually disconnected from the content that drove the click, they leave – meaning it’s important to optimize accordingly to keep their interest all the way to checkout. 

My social following is growing, but my website conversions aren't. What's going wrong?

High bounce rates from social traffic usually point to an expectation gap – the page people land on doesn't match what the post, ad, or reel promised them. Social visitors arrive with a specific intent shaped by what they just saw. If the landing page feels generic, slow to load, or visually disconnected from the content that drove the click, they leave – meaning it’s important to optimize accordingly to keep their interest all the way to checkout. 

How do I know which social platform is actually driving quality traffic to my site?

Not all social traffic is the same. A thousand clicks from TikTok and a thousand clicks from LinkedIn can produce very different conversion outcomes depending on your product, audience, and the content that drove the click. This is why it’s important to use a UTM link on every social media share to learn which pages are successful and which ones could use more testing. 

Should I be sending social traffic to my homepage or a dedicated landing page?

A dedicated landing page will usually outperform your homepage for social traffic. This is because homepages are built for broad audiences with varied intentions. A visitor arriving from a specific Instagram ad or TikTok post has a much narrower intent. A dedicated landing page lets you match the message, imagery, and CTA to exactly what brought them there – all of which helps reduces friction and keep people moving toward conversion. 

How important is page speed for social media visitors specifically?

Page speed is extremely important for visitors arriving from social media – as they are coming from an environment of instant, frictionless content. As they’re used to things loading in milliseconds, if your landing page takes more than two or three seconds to load on mobile – a significant portion of that audience will leave before they've even seen your offer. Running key pages through a speed test, prioritizing mobile performance, and compressing images without sacrificing quality can boost conversion potential.

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About the Author

Stephanie Safdie

Stephanie Safdie holds a bachelor's degree in English Language and Literature from the University of Maryland, specializing in multimedia studies. She has worked as a social media video creator, freelance copywriter, SEO copywriter at Greenly climate tech, and runs a travel blog Destination Dreamer Diaries. 

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Jun 24, 2026
18min read

How Optimization Software Boosts Ancillary Revenue

Stephanie Safdie

Stephanie Safdie

Main Takeaways

› How to help brands increase profits by offering useful add-ons beyond their core products and service

› Why personalization, timing, and customer experience is important

› How to avoid poorly timed, too generic, or friction-based pop-ups during the customer journey.

› How testing, AI, and real-time personalization help businesses boost ancillary revenue

Ancillary Revenue Is No Longer Extra — It’s a Core Growth Lever

Ancillary revenue, which refers to any type of income generated outside of a company’s core products and services, has never been more integral for future business success. 

This is especially relevant for brands in travel, hospitality, and digital commerce. As 63% of travel bookings are now made on mobile devices, there are ample opportunities to present ancillary offers to users – which remain crucial to profitability and driving long-term growth. 

Ancillary revenue isn’t just about selling more, but offering relevant add-ons to improve the customers experience. For instance, when you’re booking a flight and a pop-up to purchase extra-leg room comes up – it isn’t just to blindly sell the customer something, but to actually make their travel experience more comfortable and enjoyable. 

Effective ancillary experiences require specific optimization techniques, like personalization, to successfully appeal to the customer. 

In this article, we’ll break down what ancillary revenue is, how it works, and exactly how optimization software like AB Tasty can help brands to break through their ancillary revenue bubbles and dare to go further. 

What Is Ancillary Revenue? A Quick Definition With Big Business Impact

Ancillary Revenue is any type of income that is generated outside of a brand’s core product or service. 

The main goal with ancillary revenue is to offer products and services in support of the primary or initial purchase made by the customer. In turn, the company earns additional revenue from related extras, upgrades, or complementary purchases.

For example, Apple is predominantly known for selling laptops, phones, and tablets. Anytime they make a sale on an accessory for one of these products, such as a laptop case or interactive pen for tablets – they are benefiting from revenue generated by ancillary products.

The table below will provide additional, popular examples of ancillary revenue:

Industry/EventExample of Ancillary Revenue
AirlinesCharging for checked bags, seat selection, and Wi-Fi on board.
HotelsEarning money from minibar purchases, parking fees, and room upgrades
Movie TheatersSelling popcorn, drinks, and upgraded seating.
Theme ParksSelling fast passes, souvenir photos, and food packages.

 

Keep in mind that ancillary revenue can come from optional services before, during, or after the core purchase. 

Why is Ancillary Revenue Important?

Ancillary revenue is important because it allows brands to boost their income beyond their main product or service, making their business more profitable as a whole. 

By offering various products and services to diversify their income streams, companies can also use ancillary revenue as a way to enhance the overall customer experience through additional upgrades or services.

This is why ancillary revenue is especially important for travel and e-commerce industries, as companies can significantly increase profits through add-ons, travel upgrades, and complementary purchases

shopping cart

Why Ancillary Revenue Growth Depends on Experience, Not Just Offers

Ancillary products aren’t just an avenue to secure additional revenue, but a way to enrich the overall experience. 

Think of being at your favorite artist’s concert or football team’s tournament. Having your favorite drink or a new t-shirt to serve as a souvenir from the day can enhance the overall experience and further contribute to creating lasting memories.

The problem is that brands often focus on what they offer rather than how they offer it.

Remember, the main goal of ancillary revenue is for businesses to increase their revenue. This is why airlines are often trying to sell seat upgrades, entertainment services, or loyalty subscriptions. 

But the thing is that in their efforts to boost ancillary revenue, brands can easily overload the experience with too many upsells, creating friction, fatigue, or even distrust. That’s why personalization is so important. Poor timing, irrelevant recommendations, or cluttered interfaces can weaken ancillary performance instead of improving it.

Customers are far more likely to engage with ancillary offers when they feel timely, useful, and personalized to their needs.

This is where optimization plays a critical role, helping brands strike the right balance between revenue growth and user experience.

Where Brands Miss Out on Ancillary Revenue Opportunities

The opportunities for brands to benefit from ancillary revenue are vast, but they still often miss the mark on how to design and deliver these offerings in a way that feels seamless and genuinely adds value to the customer experience.

The interactive overview cards below will reveal some of the most common mistakes that limit businesses from fully benefiting from ancillary revenue:

Add-ons icon

Add-ons

Offering too many add-ons at once can overwhelm users and deter them from completing an ancillary purchase.

Pop-ups icon

Pop-Ups Passed Their Prime

Surfacing extras too late in the journey reduces the likelihood of converting users on ancillary products or services.

Generic messaging icon

Too Generic Messaging

When messaging is not tailored to the user, they may not understand how the additional product benefits their experience.

Personalization icon

Poor Personalization

Failing to personalize based on traveler or shopper intent limits relevance and does not support healthy ancillary revenue.

Hidden value icon

Hidden Value

Unclear pricing or poor UX can weaken the perceived value of an ancillary product and discourage users from purchasing.

Missed moments icon

Missed Moments

Not identifying the right moment to present an offer can cause brands to miss high-intent opportunities for ancillary conversion.

Therefore, even when there are strong ancillary offers – they can often underperform when the surrounding experience adds friction.

The Average Ancillary Journey Timeline 

Below is the average step-by-step process for how brands present ancillary offers and either secure or deter the user from purchasing the product or service: 

  1. Core Journey Focus: Brands design the customer experience around the main product or service (flight, ticket, subscription) and treat everything else as secondary.
  2. Late-stage Add-ons: Ancillary products are introduced only at checkout or after purchase, which makes them less known and reduces the chance of meaningful engagement – as most users want to be done with the shopping process by then.
  3. Fragmented Touchpoints: Extras (like upgrades, merchandise, or add-ons) are scattered across different steps or platforms, making the experience feel disconnected and harder to navigate.
  4. Low Emotional Stakes: Add-ons are presented as transactional upsells rather than part of the experience, meaning that customers don’t inherently associate them with enhancing the journey.
  5. Missing Context: Opportunities to offer relevant extras at high-intent moments (booking, anticipation, experience, reflection) are overlooked.
  6. Poor Timing & Relevance: Offers are shown when they don’t align with customer mindset, such as after the initial purchase has already been made instead of before checkout, reducing conversion and perceived value.
  7. Lost Ancillary Revenue Realization: Since the ancillary journey isn’t designed as an end-to-end experience, customers don’t engage with optional extras – even if they would provide added value (like WiFi on a business trip). This leads to missed revenue and less optimal experiences: whether it be for travel, live events, or e-commerce.
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How Optimization Software Improves Ancillary Revenue Across the Customer Journey 

Ancillary revenue, as it’s often tacked on closer to the end of the user’s shopping experience, can be a little more challenging for brands to get right. This is where partnering with optimization software like AB Tasty can help to boost ancillary revenue.  

Iberojet: Tailoring the Search Funnel to User Intent

Getting the very first interaction right is crucial to moving travelers down the purchase path. A great real-world example comes from the Spanish travel agency Iberojet, who questioned whether the default tab order on their homepage search widget (“Holiday Packages” vs. “Travel Circuits and Long-Distance Trips”) was ideal. 

Instead of relying on static layouts, they used AB Tasty to dynamically swap the order of the homepage tabs based on each user’s specific browsing history. This simple, intent-driven personalization caused a 25% surge in clicks on the “Search” button and cut tab-switching friction by 22% – proving that small, personalized adjustments to the homepage can unlock massive conversion potential.

Go Towards Growth: Test What Actually Drives Ancillary Revenue

It’s hard to grow if you don’t know what’s driving your success, or holding it back, in the first place. 

This is where A/B testing and multivariate testing can be used to help support healthier ancillary revenue – as both offer opportunities to compare offer placement, design, messaging, bundles, and timing.

By moving beyond assumptions and seeing what really influences shoppers to buy ancillary products and services, companies can take one step closer to unlocking new levers of success with ancillary revenue. 

Elevating Trust Signals for Higher Conversions

Trust is a critical driver when booking travel online. If your key reassurance points, like price guarantees or round-the-clock support, are buried too far down the page – customers may hesitate and abandon the checkout process.

In one notable experiment, a travel operator decided to test moving their core trust signal banner (highlighting their Price Promise and 24/7 customer support) from the bottom of the page to a prominent position higher up the screen. 

Making these trust factors visible early in the customer journey resulted in a remarkable 35% increase in transaction rates. If you want travelers to click “book,” make sure your credibility cues are visible right from the start.

Personalize Ancillary Offers for Relevance, Not Noise

One of the main factors that deters people from purchasing ancillary products or services is that they don’t feel relevant to them. 

This is where personalization steps in, especially real-time personalization – which adapts to what the user wants right now in the moment. 

By being able to determine what would feel most applicable to the shopper while they are still on the site, brands can present better-suited ancillary offers according to each individual user. This helps to make ancillaries feel helpful instead of intrusive.

Our latest Mobile Booking Friction Report highlights exactly why this tailored, upfront approach is so critical. In our benchmark evaluation of major European airlines, we discovered that 0 out of 6 airlines showed tax-inclusive pricing on their results page. When passengers encounter these “price surprises” later in the journey, it damages brand trust and triggers cart abandonment.

Given that 80% of airline traffic is now on mobile devices, brands can no longer rely on generic, one-size-fits-all digital experiences that fail to convert. By leveraging real-time personalization to present transparent, relevant ancillary offers dynamically, brands can eliminate friction, rebuild customer confidence, and protect vital conversion rates.

Reduce Friction Around Add-Ons and Upgrades

To be successful with ancillary revenue, it’s important to simplify how ancillary options are displayed.

This include tactics like:

  • Clarify pricing
  • Describing the benefits
  • Cleaner or more aesthetically pleasing selection flows
  • Removing unnecessary complexity that causes drop-off

In making the presentation for ancillary offers simpler, brands can boost the chances of conversion for these additional products and services. 

Build Trust While Increasing Ancillary Revenue

Ancillary revenue isn’t just an opportunity to boost sales, but to establish trust with your customers and increase brand loyalty.

Offering ancillary products and services gives brands a valuable opportunity to demonstrate transparency, provide reassurance, and clearly communicate value. This reveals how showing customers trust and revenue growth go hand in hand.

Optimize Beyond Checkout for Long-Term Revenue Opportunities

Opportunities for ancillary revenue don’t start and end with one ancillary product or service being offered and purchased, but rather opens a continuous line of potential ancillary purchases. 

By using optimization software to improve pre-trip, in-trip, and repeat-purchase moments – brands can successfully use ancillary offers as a way to boost brand loyalty. 

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Driving Ancillary Revenue Through Intelligence, Not Just Testing

Choosing the right strategy for ancillary revenue is no longer about running isolated experiments, but about creating a seamless, intelligent ecosystem that anticipates what a traveler needs before they even ask. While traditional testing identifies where a button should go, AI-powered Recommendations and Visual Merchandising determine what should be inside that offer to make it convert.

However, many generic personalization engines fall short in high-stakes travel environments – as the majority of travel purchases remain a highly emotional endeavor for users. A general e-commerce engine might recommend products based on simple browser cookies, but airline booking requires a much more robust, industry-specific approach.

In order to drive effective conversion rates without overwhelming passengers, travel operators must personalize based on real-time booking parameters, route characteristics, and passenger intent.

Boost Ancillary Revenue with AB Tasty

Here are just a few of the ways that this can be done when brands partner with AB Tasty:

  • Route-Based Personalization: Instead of showing the same generic lounge-pass popup to everyone, airlines can use AB Tasty to dynamically tailor offers based on flight length and destination. For example, a traveler on an overnight flight from Madrid to Buenos Aires is automatically prioritized for an extra bag or a premium seat upgrade, while a business traveler on a short 45-minute domestic shuttle is shown fast-track security lane access to help make their journey even shorter.
  • Dynamic Fare Bundling: Rather than cluttering the screen with multiple separate ancillary screens (which our Airline Mobile Booking Friction Report revealed is a major contributor to mobile passenger fatigue), operators can use AB Tasty’s segmentation to group ancillaries into targeted packages. For instance, “decisive” booking profiles who select flights quickly can be offered a pre-packaged “Trip Pack” (baggage + seat selection) directly on the results page to capture high intent and make them more confident in their purchase.
  • Intent-Driven Discovery: This approach has been proven to unlock significant conversion potential, such as with Iberojet – who used AB Tasty to dynamically reorganize the search widget tabs on their homepage based on a traveler’s prior search history. This allowed them to move from static to adaptive personalization, as they were able to relay the most relevant travel circuits first, resulting in a 25% surge in searches and a 22% reduction in tab-switching friction.
  • Trust as a Conversion Catalyst: In high-value travel transactions, price transparency is paramount. By raising core trust signals, such as price guarantees and 24/7 customer support, travel operators have seen a 35% uplift in transactions. This shows that when customers feel secure and see no hidden “price surprises,” they are much more likely to engage with higher-margin ancillary services.

Ultimately, successful ancillary growth happens when you combine intelligent, airline-specific capabilities with a human-centric approach – taking small steps to turn what used to be a friction-filled funnel into a helpful, fluid part of the booking journey.

How AB Tasty Helps Brands Turn Ancillary Revenue Into Smarter Revenue

For years, travel, hospitality, and e-commerce brands have approached ancillary revenue as a secondary checklist tacked onto the very end of the booking funnel. In the past, it’s been treated as a transactional afterthought: a static pop-up for baggage, a generic travel insurance checkbox, or an intrusive upgrade screen right before payment.

But in today’s mobile-first market, where 80% of airline traffic is now on mobile devices – generic, high-friction upsells are no longer just ignored – but often encourage cart abandonment.

In our benchmark analysis of major European airlines, we saw the repercussions of poor personalization in real-time. For instance, Ryanair’s “more is more” approach, where they force users through six separate ancillary screens, creates an overstimulated experience for the user and induces greater friction. Implementing the opposite approach has shown to be more successful, as leaders like Lufthansa and SWISS achieved significantly higher conversion scores by consolidating ancillaries into a single, high-impact screen with clear skip options.

The lesson is clear: Ancillary revenue is an opportunity to incite conversation as opposed to a simple transaction. 

At AB Tasty, we help brands move past generic, one-size-fits-all layouts to build an intelligent, conversion-driven booking funnel using specific, powerful optimization capabilities.

Here’s a breakdown of how our personalization tools can help your ancillary revenue take flight:

Real-Time Personalization & Intent-Driven Flow with Evi AI

Instead of forcing every user through the same six-step upgrade “pamphlet” if you will, brands can use AB Tasty’s real-time personalization tools like AdaptiveCX and EmotionsAI to dynamically adapt the booking path based on user intent.

  • Example: Spanish carrier Iberojet noticed massive drop-offs on their homepage search widget. Rather than serving a static layout, they used AB Tasty to dynamically swap the order of search tabs based on a visitor’s immediate browsing history. This simple, intent-driven personalization allowed for a 25% surge in “Search” button clicks and slashed tab-switching friction by 22%.

Emotional Audience Segmentation with EmotionsAI

When designing the perfect personalization plan for clients, we frequently address how to segment users based on why they buy instead of what they buy. 

By using our inhouse tool called Emotions AI, travel operators can separate users based on their emotional intent to tailor ancillary displays to each individual user.

Examples of how using EmotionsAI can help to boost ancillary revenue include:

  • The “Conscious Planner” Segment: Reveals reassurance signals, carbon-offset options, and flexible refund insurance early in the funnel to help users feel secure in their purchases.
  • The “Value Hunter” Segment: Bundles ancillary items (like baggage and priority boarding) into a single discounted package at high-intent moments, which can encourage these kinds of shoppers to buy more without cluttering the screen. 

AI-Powered Merchandising & Smarter Sorting

Ancillary offers underperform when they feel like “noise” to shoppers trying to move through the booking funnel. With AB Tasty’s One Platform and Commerce and Intelligent Recommendations suite, brands can access a one-stop-shop to discover better timing, placement, and sorting algorithms for their websites.

  • Example: Instead of recommending random add-ons, Online Travel Agencies (OTAs) use our sorting algorithms to dynamically display destination-specific ancillaries – such as car rentals in suburbia or airport transfers in big cities. Testing these personalized, high-relevance bundles has proven to significantly boost average order value (AOV) while keeping the checkout interface clean.

Safe Deployment & Risk-Free Rollouts

Rebuilding a booking flow or changing an ancillary pricing structure is a massive risk for engineering teams. AB Tasty’s Feature Management allows product and engineering teams to run progressive rollouts of new ancillary layouts in production.

  • The Use Case: A major travel operator wanted to test moving their core trust signal banner (highlighting price guarantees and 24/7 support) higher up the page to combat price-surprise friction. By rolling out this change to small, controlled segments using feature flags, they proved the layout modification drove a 35% increase in transaction rates before deploying it globally, entirely eliminating launch risk.

Your Next Step to Smarter Revenue

Ancillary growth happens when you treat the digital experience as an asset, not an obstacle. 

With AB Tasty, brands can access a single, unified platform that enables marketing, product, and engineering teams to experiment boldly, personalize contextually, and drive sustainable, high-margin revenue on every single visit.

The Bottom Line: Better Optimization Leads to Better Ancillary Revenue

Remember, ancillary revenue growth depends on relevance, timing, trust, and experience design. 

Together, smarter optimization and teamwork can boost ancillary revenue for virtually any kind of business. 

By partnering with optimization platforms like AB Tasty, brands can test and improve every step of the ancillary journey – helping to making ancillary revenue a reliable source of income possible. 

Brands that treat ancillary revenue as a worthwhile experience and investment as opposed to a challenge will not just succeed in a traditional sales tactic, but position their businesses to grow past their original goals. 

Ready to personalize your ancillary revenue experience for progress? 

FAQs

Still have questions about ancillary revenue? Here are the answers you need.

How do upsell recommendations increase revenue?

The most effective recommendations are relevant and accommodate what a user wants in real-time. They should be complementary items that align with the customer’s original purchase or interests, instead of randomized pop-ups that could prove off-topic and frustrating. Personalized suggestions help improve customer satisfaction and increase conversion rates.

What types of products or services work best for recommendations?

Ancillary revenue refers to income that is generated outside of a businesses main source of revenue. An example of ancillary business is when artists sell merchandise, like sweatshirts, tote bags, hats, or upgraded VIP packages at a concert. The main source of the artist’s income would be music sales, streaming, and concert ticket sales – whereas the ancillary revenue would be additional merchandise that they sell.  

Who benefits from ancillary revenue?

Businesses based in sales and service-based industries benefit the most from ancillary revenue. This is because ancillary offers not only help to boost turnover, but also create a better customer experience – which can encourage repeat customers and increased brand loyalty for long-term business growth.  

How does optimization software help to boost ancillary revenue?

Optimization software like AB Tasty can help to boost ancillary revenue as improved personalization tactics, stronger A/B or multivariate testing, and more can reveal friction points that keep users from booking ancillary offers – especially in travel.

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About the Author

Stephanie Safdie

Stephanie Safdie holds a bachelor’s degree in English Language and Literature from the University of Maryland, specializing in multimedia studies. She has worked as a social media video creator, freelance copywriter, SEO copywriter at Greenly climate tech, and runs a travel blog Destination Dreamer Diaries. 

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Article

Jun 19, 2026
13min read

Summer of Success: How Our G2 Summer Sweep is a Win for Every Customer

Stephanie Safdie

Stephanie Safdie

Customers Creating the Way to Success

Industry analyst reports, vendor comparisons, and corporate press releases frequently claim “market leadership – but at AB Tasty, we believe there is only one jury that truly matters: our customers, and the one we hope to greet in the future.

G2’s Summer 2026 Reports signal our continued progress in the world of experimentation. While we are incredibly proud to see AB Tasty secure top honors and multiple “Leader” badges across critical categories, such as in A/B Testing, Personalization, and Feature Management – we don’t view these badges as corporate trophies. Instead, we view them as a representation of our shared journey to success with customers and how our established platform continues to attract future clients.

When our users take the time to share their honest feedback on G2, they aren’t just reviewing a software platform – but rating the partnerships we build, the problems we solve together, and the real-world business impact we unlock. 

This article dives deep into what G2 badges actually represent, why they are the ultimate benchmark for software selection, and how our Summer 2026 sweep proves that AB Tasty remains the most optimal choice for digital experimentation. 

Steady Swings, Strong Success: AB Tasty’s Summer 2026 G2 Badges

We’re pleased to announce that we were awarded a whopping 17 G2 Badges for Summer 2026.

The flip cards below will reveal just a few of the G2 badges that AB Tasty received this summer:

Leader Summer 2026 badge

Leader

Recognizes products with high customer satisfaction and strong market presence in their category.

Regional Leader Summer 2026 badge

Regional Leader

Highlights products that stand out for customer satisfaction and market presence within a specific region.

Easiest Admin Summer 2026 badge

Easiest Admin

Awarded to solutions that make administration simple, helping teams manage workflows with less friction.

Easiest to Do Business With Summer 2026 badge

Easiest to Do Business With

Recognizes vendors that deliver a smooth customer experience, from communication to support and partnership.

Best ROI Summer 2026 badge

Best ROI

Highlights products that help customers achieve strong estimated return on investment from their software.

High Performer Summer 2026 badge

High Performer

Awarded to products with strong customer satisfaction, especially among users in their segment or category.

High User Adoption Summer 2026 badge

High User Adoption

Recognizes products that see strong adoption among users, showing that teams are actively using the platform.

Momentum Leader Summer 2026 badge

Momentum Leader

Highlights products showing strong growth momentum, customer interest, and positive market traction.

From Leader in Enterprise and Mid-Market to sweeping critical categories like Best Estimated ROI, Highest User Adoption, Easiest Admin, and Easiest To Do Business With – our G2 summer badges reveal how our platform has cemented its place at the top of the digital experience optimization space.

If you were to ask one of our customers, they would tell you that these badges are not just stickers for show – but a direct result of real users logging in every day, solving complex problems, and transforming their digital experiences.

Moving Forward with Teamwork, Together: A Customer-First Integration

Our G2 Summer 2026 rankings arrive at a highly symbolic moment. Following the recent coming-together of AB Tasty and VWO, we have transitioned from a decade of parallel growth into a unified, collaborative powerhouse.

Not only did we perform well on our G2 Summer 2026 badges, but so did VWO – who we have recently announced our merger with. Having received many of the same badges and accolades for their recent G2 reviews with an average rating of 4.4/5 – this highlights our shared vision moving forward to put the user first.

We plan to continue integrating our capabilities, together – working to create an incredibly powerful combined offering that spans experimentation, deep personalization, intelligent commerce, advanced analytics, feature management, and dynamic engagement.

Instead of turning inward, our teams have focused entirely on making sure our combined customers get the absolute best of both worlds. The G2 badges we’ve earned this summer prove that this customer-centric approach is a success. 

By integrating our capabilities, we’ve created an incredibly powerful combined offering that spans experimentation, deep personalization, intelligent commerce, advanced analytics, feature management, and dynamic engagement.

This G2 sweep belongs to our users, who have revealed that the future of CRO is being built hand-in-hand with them.

Deep Dive: What Sets AB Tasty Apart in the Summer 2026 Reports

When we look closely at the feedback that secured our G2 Summer 2026 badges, several key pillars stand out. 

These are the elements our customers consistently cite as the reasons why your brand should choose AB Tasty as its preferred digital optimization partner.

1. Relationships Over Transactions: “Best Relationship” & “Easiest to Do Business With”

At AB Tasty, we believe that software is only part of the equation – and this philosophy is reflected in our consistently high marks for Customer Relationship. 

We don’t just sell you a platform and leave you to figure it out. From day one, our clients are paired with a dedicated Customer Success Manager (CSM) and global support teams who act as an extension of their own internal resources.

Whether a client is running a basic A/B test on a landing page or launching a complex server-side feature flag campaign, they have immediate access to world-class expertise. G2 reviews highlight that our team is proactive, responsive, and genuinely invested in helping brands achieve their key performance indicators (KPIs).

2. Fast Time-to-Value: “Most Implementable” & “Fastest Setup”

In digital optimization, speed is everything. If a platform takes six months to implement and requires heavy development resources just to get a tag live, brands can lose valuable time and revenue.

AB Tasty has always prioritized performance and ease of deployment. With one of the fastest tags on the market and our built-in Performance Center, we ensure that adding optimization capabilities to your site doesn’t compromise page-load speeds.

Our G2 reviews this summer highlight how quickly teams can go from signing a contract to launching their first experiment. By lowering the technical barrier to entry with our intuitive Visual Editor, we empower marketing and product teams to run front-end tests on their own, freeing up developer bandwidth for complex, backend server-side experimentation.

3. A One-Stop-Shop Platform Suite

Optimization is no longer just about testing a headline or changing a CTA button color. Modern digital experiences require a multifaceted approach.

Our G2 reviews show that customers highly value the breadth of our unified multi-product platform:

  • Experimentation: Running clean A/B and multivariate tests to validate ideas safely.
  • Personalization: Delivering real-time, contextually relevant experiences using tools like AdaptiveCX.
  • Feature Management: Giving developers and product managers the ability to safely toggle features on or off using progressive rollouts and feature flags.
  • Commerce & Analytics: Offering advanced Product Search, Recommendations, and Visual Merchandising – all supported by deep behavioral insights.

Instead of juggling five different point-solutions that don’t talk to each other, our customers appreciate having a single, reliable hub to manage the entire user journey.

Real Voices From Our Community

To truly understand why AB Tasty continues to dominate the G2 Grids, we must look at the direct feedback left by our users. 

Here are a few key themes highlighted by verified G2 reviewers this summer:

Shooting for the Stars: How AB Tasty’s Tools Could Help Your Brand Unlock New Levels of Success

Visual Editor & Marketer Agility: Overcoming Developer Dependencies

One of the most persistent challenges optimization teams face is the heavy technical dependency on developers to run simple front-end tests. When marketing and growth teams have to wait weeks in a developer queue to edit a simple hero banner, the momentum of a conversion rate optimization (CRO) program stalls.

Our G2 reviews this summer highlight that AB Tasty successfully solves this common roadblock found in our industry. As one verified, Mid-Market reviewer shared:

How We Solve It: Visual Editor + Copilot AI

To systematically eliminate developer bottlenecks, AB Tasty pairs its highly intuitive Visual Editor with Copilot AI for seamless, no-code modifications. Marketers can instantly run front-end experiments, swap messaging, and adjust layouts in a visual environment, while developers can redirect their valuable bandwidth to complex, server-side feature experimentation.

Personalization at Scale: The Power of Deep Segmentation and Emotions AI

In digital optimization, treating your audience as a single, static block of traffic is a fast track to missed revenue. Modern consumers expect highly relevant, context-aware web journeys.

As one of the more challenging topics to nail in the experimentation industry, this is in part why AB Tasty was awarded so many badges this summer.

Discover the review below which highlights our ability to segment and target visitors with surgical precision. 

How We Solve It: Geolocation, Behavioral Audiences, and Emotions AI

AB Tasty enables teams to conquer personalization at scale by combining:

  • Behavioral Audiences: Targeting users based on real-time activity, scroll depth, or referral sources.
  • Geolocation Targeting: Delivering regional offers and localized messaging dynamically.
  • Emotions AI: Segmenting visitors by their psychological and emotional shopping states (e.g., trend-focused vs. safety-focused).
  • Re-Bounce Strategies: Reacting to exit intent or cart abandonment before the user clicks away.

Real Success Story: Iberojet

Rather than relying on static, generic layouts, Spanish travel agency Iberojet wanted to tailor their search funnel based on immediate user intent. By using AB Tasty, they set up dynamic personalization to automatically reorder the search tabs on their homepage based on a traveler’s prior browsing history.

This highly targeted segmentation resulted in a 25% surge in clicks on the “Search” button and slashed tab-switching friction by 22% – proving that granular, behavior-driven personalization unlocks massive business outcomes.

A Single, Unified Platform for All Teams

As optimization programs mature, brands often suffer from “tool bloat”– relying on one point solution for visual web testing, another for server-side feature flags, and a third for product recommendations. 

One of our reviews on G2 highlights how much our customers appreciate the “one-stop-shop” style found with AB Tasty’s experimentation platform: 

This disjointed stack causes siloed data, implementation delays, and inconsistent user experiences.

AB Tasty’s G2 reviews show that customers highly value our unified, multi-product platform. By housing Experimentation, Personalization, Commerce (Recommendations & Search), and Feature Management in a single dashboard, we give cross-functional teams a shared workspace.

How We Solve It: From Web Testing to Dynamic Product Merchandising

Our unified ecosystem allows marketing, product, and engineering teams to work in perfect alignment:

  • Smarter Sorting & Recommendations: In one case study, an e-commerce platform moved away from traditional “lowest-price-first” sorting. By testing a “Recommended” algorithm that ranked items based on real-time user relevance, they achieved a +2.8% revenue uplift and a +4.6% increase in average order value (AOV).
  • Combatting Dead Ends: Another travel provider replaced a cold “no flights available” message with personalized fallback recommendations (nearby airports, flexible dates). This simple on-site personalization rescued lost traffic, driving a +35% increase in flight search modifications and a +14% conversion rate improvement.

Unmatched Customer Support: Easiest To Do Business With

Even the most advanced optimization tool will fail without the right strategic guidance. G2’s Summer 2026 reports heavily rewarded AB Tasty’s customer-first philosophy, crowning us with the Easiest To Do Business With and Best Relationship badges.

Our users consistently write that our support model is a major differentiator compared to competitors who outsource their service.

Check out the comment below revealing how many of our clients highlight our exception customer service: 

How We Solve It: Overcoming Platform Anxiety and Onboarding Hurdles

We support our customers at every stage of their optimization maturity curve. Our dedicated Customer Success Managers (CSMs) and support teams actively help clients overcome common operational challenges:

  • Platform Transition Anxiety: Resolved via a clear Artemis migration timeline, optional migration paths, and contract stability.
  • Data-Driven Culture Shifts: Supported through structured test programs, custom training sessions, and personalized optimization roadmaps.
  • Recommendation & Integration Issues: Handled by dedicated implementation support, widget fixes, and precise attribute mapping.
  • Insight Adoption: Accelerated through dedicated Pulse & Insights training sessions and detailed demo walkthroughs.

Trust and ROI: High Performance That Pays Off

Ultimately, optimization is about driving measurable business value and maximizing return on investment. Securing the Best Estimated ROI Enterprise and multiple High Performer badges in Summer 2026 proves that AB Tasty’s speed and efficiency translate directly to the bottom line.

We put performance first. With one of the fastest, most lightweight tags on the market and a built-in Performance Center, we ensure your experiments never slow down the user experience.

Real Success Story: Boosting Transactions with Trust Signals

Optimization isn’t just about where you place a button; it’s about giving users the confidence to buy. A travel operator we worked with noticed that their Price Promise guarantee and 24/7 customer support details were buried too low on their homepage.

By using AB Tasty’s feature flags to roll out an experiment which moved their trust banner higher up the page, they made reassurances prominent early in the customer journey. This minor layout optimization triggered a stunning 35% increase in transaction rates.

Looking to the Future: Hand-in-Hand

We want to extend a massive thank you to our global community of users, partners, and team members. These G2 Summer 2026 badges are a direct reflection of your trust, your creativity, and your feedback – we’re proud to be daring to go further, together.

We are incredibly excited about the future as we continue to create a team filled with the greatest minds in optimization to build a faster, smarter, and more human-centric experimentation suite.

If you are ready to see why real users have voted AB Tasty as a consistent leader in digital optimization, we invite you to take the next step. 

Ready to take one small step towards greatness? 

FAQs

Still have questions about Viva Tech Run? Here are the answers you need.

Why do customers love using AB Tasty?

Customers love to use AB Tasty due to our deep segmentation with Emotions AI, visual editor, drag-and-drop no code platform capabilities, how user-friendly the platform is, and our exceptional customer support.

What does AB Tasty’s Visual Editor do?

AB Tasty’s WYSIWYG Visual Editor allows teams to easily create and edit website content directly on the fly by clicking on different page elements. Users can modify visual styles, change text, insert pre-coded HTML, reorder items, and add action trackers without needing deep coding knowledge.

What does AB Tasty’s One Platform do?

One Platform unifies client-side and server-side experimentation, combining front-end no-code testing with backend feature experimentation and rollouts into a single workflow. This consolidates marketing and product efforts, breaking down team silos so organizations can safely de-risk feature deployments and optimize entire customer journeys consistently.

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About the Author

Stephanie Safdie

Stephanie Safdie holds a bachelor’s degree in English Language and Literature from the University of Maryland, specializing in multimedia studies. She has worked as a social media video creator, freelance copywriter, SEO copywriter at Greenly climate tech, and runs a travel blog Destination Dreamer Diaries. 

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Jun 18, 2026
10min read

Luxury that Leads: How AB Tasty Guides Shoppers to the Last Click

Stephanie Safdie

Stephanie Safdie

Turning Prestige into Purchases

Luxury is on another level in every way, including when it comes to how to optimize accordingly for shoppers on luxury brand websites like Bottega Veneta, Balenciaga, and Saint Laurent. 

But high-end fashion brands don’t just mean cutting-edge, fresh designs on the runway – but also brands that are moving towards the future of e-commerce. High-end fashion e-commerce is making the transition from static online catalogs to more dynamic, interactive flagship stores that allow users to better visualize their future outfits and luxury goods in real-time. 

The “Last Click” Challenge

There are certain elements to luxury that are hard to replicate on a laptop screen. Going from the white-glove, high-touch personalization of a physical atelier inside a web browser can prove to be a challenge.

This often creates a unique digital hurdle from luxury brands who want to convert users who are used to the intricate experience associated with in-store shopping. But learning how to successfully guide luxury shoppers all the way to checkout doesn’t have to be a mystery. 

As a leading expert in the experimentation world, we help brands keep their original mission statement, aesthetics and brand voice while still subtly nudging luxury consumers toward checkout.

By balancing brand-enforced aesthetics with data-driven e-commerce experimentation, AB Tasty helps leading luxury brands like Bottega Veneta, Balenciaga, Saint Laurent, and Alexander McQueen craft flawless paths to purchase without sacrificing prestige.

This article will break down how it’s possible to guide luxury shoppers through to the last click and also share concrete success stories with luxury brands who have worked with AB Tasty. 

Bottega Veneta: The Art of Quiet Optimization & Regional Agility

Bogetta Veneta, an Italian luxury fashion house based in Milan, was struggling to find the right balance between keeping their branding and encouraging conversions. As their signature identity is “quiet luxury” and minimalism – they feared that overly aggressive pop-ups, disruptive widgets, or generic call-to-action (CTA) banners would violate their visual guidelines.

Subtle Refinements, Global Scale: How Bottega Veneta Leverages Cross-Border Duplication

We believe that even the smallest of steps can bring you to your greatest success. We helped Bottega Veneta to develop a strategy that helped boost conversions without sacrificing their minimalist branding. 

Here’s how we partnered to make progress:

The AB Tasty Strategy

  • In-Cart Nuances: We worked with Balenciaga to design minimalist micro-optimizations inside the slide-out cart drawer and PDPs (Product Detail Pages) to encourage conversion.
  • Regional Agility & Duplication: Using AB Tasty to test a subtle optimization in one test market (i.e., Europe) and seamlessly duplicating successful campaigns to global markets, like the United States or Japan, in just a few clicks.

This reveals how micro-adjustments to the checkout funnel can be introduced quietly, tested securely, and scaled worldwide without diluting brand exclusivity.

The Results 

  • Campaign 1: Reducing Exit Intention on the Cart Page
    • The Test: Hide the “Continue shopping” CTA on the cart page to focus the user’s attention entirely on the “Checkout” CTA.
    • The Results:
      • +3.8% increase in Checkout Access
      • +6.9% increase in Transaction Rate
  • Campaign 2: “Load More” CTA & Smarter Navigation
    • The Test: Displayed a “Load More” CTA instead of default infinite lazy loading after 3 lazy loads (or 36 products seen), accompanied by 3 redirection sections to other Product List Pages (PLPs) based on country.
    • The Results (Worldwide & Korea):
      • +10.2% increase in Checkout Access Worldwide
      • +25% increase in Checkout Access in South Korea
      • +10.4% increase in Purchases Worldwide
  • Campaign 3: Account Creation Pop-In (Japan & Korea)
    • The Test: Displayed a subtle slide-out drawer after 30 seconds for returning visitors, highlighting membership benefits that are only accessible by logging in or creating an account.
    • The Results:
      • 1.58% Click-Through Rate on Login & Create an Account
      • +400 registrations/logins

Balenciaga: Tailoring Recommendations with Architectural Precision

Balenciaga, a Spanish luxury fashion house especially known for their handbags, is known for their bold, avant-garde web design. This made them wary to try out-of-the-box product recommendation sliders (like standard Salesforce Einstein widgets) – as they look generic, lack customization, and don’t align with their raw aesthetic.

Disrupting the Norm: Balenciaga’s Brand-Matched Product Discovery

Balenciaga was able to improve both their product discovery and brand trust, seeing a +3.2% increase in cart access and a +3.1% increase in checkout access simply by highlighting their premium packaging on the funnel.

They were also able to recover lost revenue through targeted mobile banners that drove an +8.8% conversion rate lift among returning shoppers with abandoned carts.

Here’s how we worked together to go further:

The AB Tasty Strategy

  • Tailored UI Styling: Using AB Tasty to fully customize recommendation widgets so they match Balenciaga’s specific grid layout, typography, and raw style sheet.
  • Smart Merchandising Rules: Implementing curated recommendation algorithms—such as offering subtle matching accessory recommendations in the cart to increase Average Order Value (AOV) without “cheapening” the display.

This revealed that replacing black-box recommendation logic with fully transparent, design-compliant product recommendations that increase CTR (Click-Through Rate) and product discovery.

The Results 

Campaign 1: Highlight Premium Services on the Funnel

  • The Test: Added high-quality visuals of the signature luxury packaging directly on the Product Detail Page (PDP) and Cart page to reassure customers.
  • The Results:
    • +3.2% increase in Cart Access
    • +3.1% increase in Checkout Access

Campaign 2: Abandoned Cart Session Banners (US Market)

  • The Test: Targeted visitors who abandoned their shopping bags in previous sessions by displaying a subtle reminder banner with their cart items at the top of the mobile screen.
  • The Results:
    • +8.8% increase in Conversion Rate, driving almost 9% of mobile conversions for the US market
irange makeup brush and powder

Saint Laurent (YSL): Replicating the VIP Salon Experience Globally

Saint Laurent (YSL) was determined to recreate their VIP Salon Experience across the world. 

This is where AB Tasty stepped in to help them create the digital storefront across ten different regions with very different buyer behaviors.

Precision Personalization: Recreating the VIP Treatment on YSL.com

Tailoring the digital journey across multiple continents requires strategic precision, which Saint Laurent achieved by executing targeted optimizations across its key global storefronts.

By focusing on localized payment reassurance and checkout flow simplification, the fashion house unlocked significant performance milestones – such as an 18% lift in conversion rates in South Korea and a 5% conversion increase in France.

Here’s how YSL and AB Tasty made precise personalization a piece of cake:

The AB Tasty Strategy

  • The Zero-Result & 404 Rescue: Using AB Tasty’s advanced recommendations to turn dead-ends (like “No Results Found” or 404 pages) into personalized curated alternative selections, pulling live feeds from YSL’s catalog.
  • Targeted Loyalty & Cart Interventions: Displaying subtle, customized messaging for connected, high-tier account clients (e.g., localized shipping information or custom perks) without resorting to disruptive urgency banners.

Our digital experimentation with YSL proved that driving CVR (Conversion Rate) and high revenue by turning every potential digital drop-off point into an opportunity for personalized customer relationship building.

The Results 

  • Campaign 1: Highlighting Localized Payment Methods (South Korea)
    • The Test: Added a local reassurance/payment block directly on the product page, highlighting the payment methods that would be available at checkout in South Korea.
    • The Results:
      • +11% increase in Cart Access
      • +11% increase in Add to Cart
      • +23% increase in Checkout Access
      • +18% increase in overall Conversion Rate
  • Campaign 2: ApplePay as the Default Payment Method on iOS
    • The Test: Recognized iOS users and pre-selected/displayed ApplePay as the default payment option at checkout.
    • The Results:
      • +5% increase in ApplePay’s share of total transactions
      • +1% increase in overall Conversion Rate
  • Campaign 3: Reducing Exit Intention on the Cart Page (France)
    • The Test: Hide the navigation menu and search bar on the cart page to streamline focus on the “Proceed to checkout” CTA.
    • The Results (FR Market):
      • +4% increase in clicks on the “Proceed to checkout” CTA
      • +5% increase in Conversion Rate
person in yellow dress holding blue purse

Alexander McQueen: Breaking the Mold to Go Bold

Alexander McQueen, is known for their unique stance at the intersection of dramatic artistic expression and severe structure. The team wanted to run bold tests to see how luxury shoppers respond to innovative layouts without compromising on pixel-perfect luxury brand rules.

The Avant-Garde Playground: Creative Experimentation Meets Brand Safety

Alexander McQueen was able to implement inventive ideas without foregoing their beloved brand layout. 

Here’s how we made teamwork make the dreamwork, together:

The AB Tasty Strategy

  • Low-Code/No-Code Experimentation: Using AB Tasty’s visual and code editors to allow regional e-commerce teams to set up design-approved split tests.
  • Progressive Code Delivery: Safeguarding the brand’s elite codebase by testing controversial new navigation elements on small cohorts of traffic first, ensuring no glitches occur in the luxury checkout pipeline.

Our progress with Alexander McQueen demonstrated how transitioning from “opinion-driven” site changes to empirical, data-backed proof that avant-garde, unique customer journeys can outperform traditional grid layouts.

The Results

  • Campaign 1: Highlight Next Day Delivery Option (US Market)
    • The Test: Added a clear, localized shipping reassurance block directly on the product page informing US customers that next business day delivery was available.
    • The Results:
      • +12% increase in Cart Access
      • +4% increase in Add to Cart
      • +2.5% increase in Checkout Access
      • +5% increase in overall Conversion Rate

The Bottom Line: 100% Statistically Significant Style

In the world of high-end fashion, good instincts have always been the driving force that dictated the runway. We know at AB Tasty that success is a science: where there’s no such thing as failure – but allowing the opportunity to gain new insights that push your brand forward. 

As demonstrated by the elite digital programs of Bottega Veneta, Balenciaga, Saint Laurent, and Alexander McQueen, guiding a shopper to that final “place order” click isn’t about flashy pop-ups or generic discount codes. It is about effective and sophisticated micro-optimizations that respect the house’s visual heritage.

Whether it is reducing cart friction by hiding distracting buttons, tailoring recommendation engines to look pixel-perfect, or making localized shipping and payment options immediately transparent – AB Tasty provides the precise tools luxury brands need to test, learn, and grow. 

Let’s Guide Luxury Shoppers, Together

Remember, guiding a luxury shopper to the last click isn’t about pushing them – but about refining the digital path so seamlessly that checking out feels like the natural, chic conclusion to a beautiful experience.

Ready to turn elegance into exceptional experiences, together?

FAQs

Still have questions about how AB Tasty can help Luxury Shopping? Here are the answers you need.

How does optimization software help luxury brands?

Optimization software allows luxury brands to run data-backed experiments to identify and remove digital friction points without compromising their pixel-perfect design guidelines. By quietly personalizing journeys, it bridges the gap between high-end brand heritage and modern conversion goals.

How do luxury brands optimize experiences for different countries?

Using AB Tasty, luxury houses can securely run regional tests (such as targeting next-day delivery details to the US or local payment methods to South Korea) and easily duplicate winners globally. This localized agility ensures that global digital storefronts seamlessly match regional consumer behaviors and checkout expectations.

How does personalization impact average order value in luxury e-commerce?

Highly tailored, design-compliant product recommendations can introduce customers to curated accessories directly inside the shopping cart or PDP. This strategic product discovery elevates the shopping experience and naturally drives up transactional volume and average order value.

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About the Author

Stephanie Safdie

Stephanie Safdie holds a bachelor’s degree in English Language and Literature from the University of Maryland, specializing in multimedia studies. She has worked as a social media video creator, freelance copywriter, SEO copywriter at Greenly climate tech, and runs a travel blog Destination Dreamer Diaries. 

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