Article

Jun 17, 2025

7min read

From Search to Checkout: 10 Data-Driven E-commerce Trends for 2025

Maddie Ostrander

E-commerce has completely changed the way shoppers interact with their favorite brands.

From the continued rise of mobile commerce to virtual-reality try-on tools and AI customer service, some consumer trends have proven to be evergreen while others fall out of fashion in a season. As e-commerce marketers, it can be hard to know when to chase a trend or stick to being consistent.

To help you better understand the mind of today’s consumers, we’ve broken down 10 key insights for e-commerce from our 2025 global report. Based on feedback from 4,000 consumers across the U.S., U.K., France, Italy, and Australia, this snapshot reveals how people discover new products, engage with AI, make purchase decisions, and much more.

1. Google Search is the first place for discovery

When it comes to starting an online shopping journey, Google Search is still king. Nearly two-thirds (63%) of global shoppers begin their hunt for a new product or service with a Google search.

This underscores the ongoing importance of SEO for e-commerce brands. If your product pages aren’t optimized, you risk missing out on a massive audience at the very first step of their journey.

2. Mobile takes over, but desktop still matters

By the end of 2024, smartphones accounted for nearly 80% of global retail site traffic and over two-thirds of online orders. Mobile is now the primary device for browsing and purchasing in categories like clothing, cosmetics, and entertainment.

However, desktop still plays a significant role in sectors such as travel and utilities, especially among older generations. Brands should continue to prioritize mobile-first design, but not neglect the desktop experience—especially for high-consideration purchases.

3. Millennials vs. Gen Z: Mobile app habits

Generational differences are shaping the future of e-commerce. For Gen Z, mobile apps are the second most popular starting point for shopping (48%), just behind Google. Millennials, on the other hand, split their preference between apps and brand websites (both at 35%). This means younger shoppers are more likely to use apps for discovery, while Millennials are equally comfortable with apps and direct website visits.

Brands need more than just a mobile presence to capture Gen Z’s attention. They need apps built for exploration, speed, and flexibility. With Feature Experimentation and Rollouts from AB Tasty, teams can continuously test and optimize in-app experiences without a full redeploy, ensuring their app evolves alongside user expectations.

4. Comparison shoppers lead the pack

Not all online shoppers are the same. Our research found that the most common shopper persona is “comparison-oriented”—30% of respondents compare multiple products before making a purchase. Only 11% identify as “speedy” shoppers who want to check out as quickly as possible. The rest fall somewhere in between, with 21% being “review-oriented,” 20% “confident,” and 18% “detail-oriented.” This diversity highlights the need for flexible site experiences that cater to different decision-making styles.

If one size doesn’t fit all, then understanding your audience is the first step to building experiences that truly convert.

5. Reviews are more influential than discounts or brand names

When it comes to influencing purchase decisions, high-quality reviews top the list globally. Shoppers trust peer validation more than discounts, convenience, or even brand names. Written testimonials and customer photos are especially valued, providing the authenticity and detail shoppers crave.

Make sure your reviews are visible, filterable, and packed with real customer insights to boost trust and conversions.

E-commerce moves fast. Get the insights that help you move faster. Download the 2025 report now.

GET THE REPORT

6. The pop-up problem hurting conversions

Think you’re converting more by hitting new visitors with an email sign-up pop-up right away? Think again.

Too many pop-ups are the number one frustration for online shoppers worldwide, followed closely by slow-loading websites and difficulty finding products. While pop-ups can be effective for capturing leads or promoting offers, overuse can drive customers away. Use them strategically and ensure your site is fast and easy to navigate to keep shoppers engaged.

7. Loyalty is the key to better personalization

Personalization is more than just a buzzword—it’s a key driver of customer satisfaction and loyalty. The top way to make online shopping feel more personal, according to 35% of respondents, is by rewarding brand loyalty. Remembering preferences and suggesting relevant products also rank highly.

Brands that recognize and reward repeat customers with exclusive perks or early access to new products can turn shoppers into advocates.

8. AI adoption is growing, especially among younger shoppers

AI-powered tools like chatbots and virtual assistants are gaining traction, but there’s still room for improvement. Just under a quarter (23%) of shoppers have used AI tools and found them helpful, while 32% haven’t tried them but are open to it. Younger generations are more receptive: 32% of Gen Z and 30% of Millennials found AI tools helpful, compared to just 13% of Baby Boomers.

To win over skeptics, brands need to ensure AI support is fast, relevant, and seamlessly integrated with human assistance.

9. Shoppers just want frictionless experiences

When asked what would most improve their online shopping experience, the top answer was simple: removing frustrations like pop-ups, bugs, and broken pages. Tracking shipping, improving product search, and speeding up the shopping process were also highly valued.

Before investing in flashy features, brands should focus on getting the basics right—smooth, intuitive journeys are what keep customers coming back.

10. The gap between personalization and perception

Personalization is supposed to make shoppers feel seen—but only 1 in 10 consumers say their favorite brands truly “get” them. In fact, the most common answer was “somewhat,” as 39% of respondents said the messages and offers they receive are hit or miss. Another 34% said brands mostly deliver relevant content, but not always. For the majority, the digital experience feels inconsistent.

When personalization doesn’t land, it can come off as surface-level or even off-putting. The takeaway? Personalization isn’t just about using data—it’s about using it meaningfully, so relevance feels intentional, not accidental.

Conclusion

The bar for digital shopping experiences keeps rising, and today’s consumers are quicker than ever to click away when expectations aren’t met.

From discovery to checkout, each step in the customer journey has the potential to shape customer loyalty and long-term value. Our 2025 E-commerce Consumer report dives even deeper into generational trends, regional differences, and actionable strategies for optimizing your digital experience.

Ready to future-proof your e-commerce strategy? Download our report “Decoding Online Shopping: Consumer Trends for E-commerce in 2025” now.

GET THE FULL REPORT

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Jun 24, 2025

9min read

Heatmaps: Your Team’s Secret Weapon for Uncovering Website Gold

AB Tasty

What are heatmaps? (and why your team needs them)

Think of heatmaps as your website’s truth-teller. They’re visual snapshots showing exactly where visitors click, scroll, and linger. No guesswork required.

Here’s how they work: Warm colors (reds, oranges) highlight the hotspots where users engage most. Cool colors (blues, greens) reveal the overlooked zones that might need attention.

The best part? Your visitors do all the heavy lifting. They show you what’s working and what’s not, so your team can make changes that actually move the needle.

Spot the signals: When to bring heatmaps into play

Heatmaps aren’t just pretty pictures—they’re your optimization toolkit’s MVP. Here’s how they deliver the biggest impact:

Measuring real engagement

Writing content that no one reads? Heatmaps show you exactly where readers drop off. If only 10% of visitors reach your CTA, it’s time to shake things up.

Tracking what matters: Actions

Are people clicking where you want them to? Heatmaps reveal if visitors complete your desired actions—or where they’re getting stuck instead.

Highlighting where attention sticks (and slips)

What grabs your attention first? What images distract from your main message? Heatmaps answer these questions so you can double down on what works.

Once you have these insights, bigger questions become easier to tackle:

Where should we place our most important content?
How can we use images and videos more effectively?
What’s pulling attention away from our goals?

The essential heatmap lineup every team needs

Most modern heatmap tools offer multiple views of user behavior. We partner closely with some of the major players already. Let’s break down the most common ones you’ll come across.

Click Heatmaps: The Action Tracker

These maps show every click on your page, with dense concentrations appearing as bright white areas surrounded by warm colors. Think of them as your conversion reality check.

What it tells you: Whether people click where you want them to—or if they’re trying to click non-clickable elements that look interactive.

How to use it: Look for clicks scattered around non-interactive text or images. These “frustrated clicks” signal design problems. If users are clicking on underlined text that isn’t a link, or images they expect to be clickable, you need to either make those elements functional or redesign them to look less interactive.

Pro tip: Compare click density on your primary CTA versus other page elements. If secondary elements are getting more clicks than your main conversion button, it’s time to redesign your visual hierarchy.

Scroll Heatmaps: The Attention Meter

See how far down visitors scroll and what percentage of users reach each section of your page. This is crucial for understanding whether your important content is actually being seen.

What it tells you: If users actually see your important content or bail before reaching your CTA. Most importantly, it shows you the “fold line”—where 50% of users stop scrolling.

How to use it: Identify the scroll percentage where you lose half your audience, then ensure all critical elements (value propositions, CTAs, key benefits) appear above that line. If your main CTA is only seen by 20% of visitors, move it higher or add secondary CTAs above the fold.

Pro tip: Use scroll maps to optimize content length. If 80% of users stop reading halfway through your blog post, either shorten the content or add more engaging elements (images, subheadings, interactive elements) to keep them scrolling.

Click Percentage Maps: The Element Analyzer

This view breaks down clicks by specific elements, showing exactly how many people clicked each button, image, or link as a percentage of total visitors.

What it tells you: Which elements deserve prime real estate and which ones are dead weight. You’ll see precise engagement rates for every clickable element on your page.

How to use it: Rank your page elements by click percentage to understand what’s actually driving engagement. If your newsletter signup gets 15% clicks but your main product CTA only gets 3%, you might need to redesign your primary call-to-action or reconsider your page goals.

Pro tip: Use this data to inform A/B tests. If one button consistently outperforms others, test applying its design (color, size, copy) to underperforming elements.

Confetti Maps: The Individual Click Tracker

Instead of showing click density, these maps display each individual click as a colored dot. Perfect for spotting users trying to click non-clickable areas or understanding click patterns in detail.

What it tells you: Where to add functionality or remove confusion. Each dot represents a real user’s intent to interact with something on your page.

How to use it: Look for clusters of dots over non-interactive elements—these represent frustrated users trying to click things that don’t work. Also watch for dots scattered far from any actual buttons or links, which might indicate responsive design issues or accidental clicks.

Pro tip: Filter confetti maps by traffic source or user segment. Mobile users might have different click patterns than desktop users, and organic traffic might behave differently than paid traffic.

Mobile-Specific Heatmaps: The Touch Tracker

Modern tools capture mobile-specific actions like taps, swipes, pinches, and multi-touch gestures—because mobile behavior is fundamentally different from desktop.

What it tells you: How to optimize for the majority of your traffic (since mobile often dominates). Mobile users have different interaction patterns, attention spans, and conversion behaviors.

How to use it: Create separate heatmaps for mobile and desktop traffic. Mobile users typically scroll faster, have shorter attention spans, and interact differently with buttons and forms. Use this data to optimize button sizes, reduce form fields, and adjust content layout for mobile-first experiences.

Pro tip: Pay special attention to thumb-reach zones on mobile heatmaps. Elements that are easy to tap with a thumb (bottom third of screen, right side for right-handed users) typically get higher engagement rates.

Learn more about best practices for designing for mobile experiences with our Mobile Optimization Guide.

Eyes vs. clicks: Understanding the key differences

While heatmaps track mouse movements and clicks, eye-tracking follows actual gaze patterns. Eye-tracking gives deeper insights but requires specialized equipment most teams don’t have.

The good news? AI-powered tools like Feng-Gui and EyeQuant now simulate eye-tracking through algorithms, making this technology more accessible.

Bottom line: Start with heatmaps. They’re easier to implement and give you actionable insights right away.

Features that make or break your heatmapping game

Not all heatmap tools are created equal. Here’s what your team should prioritize:

Must-have features:

Audience Segmentation: Create maps for specific user groups (new vs. returning visitors, mobile vs. desktop)
Map Comparison: Easily compare results across different segments
Page Templates: Aggregate data for similar page types (crucial for e-commerce sites)
Mobile Optimization: Track touch, scroll, and swipe behaviors
Export Capabilities: Share results with your team effortlessly
Dynamic Element Tracking: Capture interactions with dropdowns, sliders, and AJAX-loaded content
Historical Data: Preserve old heatmaps even after design changes

Test smarter with heatmap insights

Here’s where things get exciting. Heatmaps show you the problems, but how do you know if your fixes actually work?

Enter A/B testing.

This three-step approach turns insights into results:

Identify problems with heatmaps
Test potential solutions with A/B testing
Choose the highest-performing solution based on data

Real Example:

Nonprofit UNICEF France wanted to better understand how visitors perceived its homepage ahead of a major redesign.

Their move: UNICEF France combined on-site surveys with heatmapping to gather both qualitative feedback and visual behavioral data.

The result: Heatmaps showed strong engagement with the search bar, while surveys confirmed it was seen as the most useful element. Less-used features, like social share icons, were removed in the redesign—resulting in a cleaner, more user-focused homepage.

Continue reading this case study

Connect the dots and act with confidence

Ready to put heatmaps to work? Here’s your game plan:

Start small. Pick one high-traffic page and run your first heatmap analysis.

Look for patterns. Are users clicking where you expect? Scrolling to your key content? Getting stuck somewhere?

Test your hunches. Use A/B testing to validate any changes before rolling them out site-wide.

Iterate forward. Heatmaps aren’t a one-and-done tool but part of your ongoing optimization process.

Remember: every click tells a story. Every scroll reveals intent. Your visitors are already showing you how to improve—you just need to listen.

Ready to see what your visitors are really doing? Heatmaps give you the insights. A/B testing helps you act on them. Together, they’re your path to better conversions and happier users.

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Jun 20, 2025

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9 AI Features that Transform How Digital Teams Test, Learn, and Grow

Emily Healy

Testing doesn’t have to feel like guesswork.

What if you could describe your vision and watch it come to life? What if understanding your visitors’ emotions was as simple as a 30-second scan? What if your reports could tell you not just what happened, but why it mattered?

That’s where AI steps in – not to replace your creativity, but to amplify it.

At AB Tasty, we’ve built AI tools that work the way teams actually think: curious, collaborative, and always moving forward. Here are nine features that help you test bolder, learn faster, and connect deeper with the people who matter most.

Insight: If you’re already an AB Tasty customer, you’ve already got access to some of our most popular AI features! But don’t stop scrolling yet, there’s more to discover.

1. Visual Editor Copilot: Your vision, our AI’s creation

Visual Editor Copilot turns your ideas into reality without the endless clicking. Just describe what you want – “make that button green,” “add a fade-in animation,” or “move the CTA above the fold” – and watch our AI bring your vision to life.

No more wrestling with code or hunting through menus. Your creativity leads. Our AI follows.

2. EmotionsAI Insight: Explore 10 emotional profiles

10 emotional profiles with AB Tasty's EmotionsAI

EmotionsAI Insights gives you a free peek into 10 emotional profiles that reveal what your visitors actually feel. Not just what they click – what moves them.

See the missed opportunities hiding in plain sight. Understand the emotional drivers that turn browsers into buyers. It’s personalization that goes beyond demographics to tap into what people really want.

3. Engagement Levels: Segment traffic for affinity and engagement

Our engagement-level segmentation uses AI to cluster visitors based on how they connect with your site. New visitors get the welcome they deserve. Returning customers get the recognition they’ve earned.

It’s traffic segmentation that makes sense – grouping people by affinity, not just attributes.

4. EmotionsAI: The future of personalization

EmotionsAI is personalization with emotional clarity. In just 30 seconds, see what drives your visitors at a deeper level. Turn those insights into targeted audiences and data-driven sales.

Your visitors have unique needs and expectations. Now you can meet them where they are – emotionally and practically.

5. Recommendations and merchandising

Recommendations and Merchandising turns the right moment into new revenue. Our AI finds those perfect opportunities to inspire visitors – whether it’s a complementary product or an upgrade that makes sense.

You stay in control of your strategy. AI accelerates the performance. The result? A delightful experience that drives higher average order value.

6. Content Interest: No more struggling to connect

Content engagement AI identifies common interests among your visitors based on their browsing patterns – keywords, content, products. Build experiences that feel personal because they actually are.

It’s not about pushing content. It’s about finding the connections that already exist and making them stronger.

7. Report Copilot: Meet your personal assistant for reporting

Report Copilot is your personal assistant for making sense of data. It highlights winning variations and breaks down why they drove transactions – so you can feel confident in your next move.

No more staring at charts wondering what they mean. Get clear insights that move you forward.

8. Drowning in feedback? Feedback Analysis Copilot saves you time

Feedback Analysis Copilot takes the heavy lifting out of NPS and CSAT campaigns. Our AI analyzes responses right within your reports, identifying key themes and sentiment trends instantly.

High volumes of feedback? No problem. Get the insights you need without the manual work that slows you down.

9. Struggling to craft the perfect hypothesis for your experiments?

Hypothesis Copilot helps you craft experiments that start strong. Clear objectives, richer insights, better structure – because every great test begins with a rock-solid hypothesis.

No more struggling with the “what if” – start testing with confidence.

AI That Amplifies Human Creativity

These aren’t just features – they’re your teammates. AI that understands how teams really work: with curiosity, collaboration, and the courage to try something new.

Every tool we build asks the same question: How can we help you go further?

Whether you’re crafting your first experiment or your thousandth, these AI features meet you where you are and help you get where you’re going. Because the best optimization happens when human insight meets intelligent tools.

Ready to see what AI-powered experimentation feels like? Let’s test something bold together.

FAQs about AI in digital experimentation

How is AI used in digital experimentation and A/B testing?

AB Tasty offers clients multiple AI features to enhance A/B testing by automating test setup, analyzing emotional responses, segmenting audiences, and generating data-driven recommendations—all aimed at faster insights and better personalization.

What are the benefits of using AI in website optimization?

AI reduces guesswork, accelerates testing, improves personalization, and turns raw data into actionable insights. It empowers teams to learn faster and create better digital experiences.

How does AI help marketing and product teams test and learn faster?

AB Tasty empowers marketing and product teams with AI tools like Report Copilot and Hypothesis Copilot to streamline data analysis and test planning, helping teams move from idea to iteration quickly and confidently.

What AI features does AB Tasty offer for experimentation and personalization?

AB Tasty offers features like Visual Editor Copilot, EmotionsAI, Content Interest segmentation, and Report Copilot to streamline testing, personalization, and reporting.

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Jun 13, 2025

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Click Happens: Smarter Digital Experiences for 2025

Kate Feng

With acquisition costs rising and consumer patience shrinking, the pressure is on: every digital experience has to work harder. That was the key message in our recent webinar with Contentsquare: Optimizing Digital Experiences: Strategies from AB Tasty & Contentsquare.

In the session, John Hughes from AB Tasty and Evan Wells from Contentsquare unpacked key findings from AB Tasty’s 2025 Consumer Trends Report and Contentsquare’s 2025 Benchmark Report, revealing what it really takes to deliver faster, smarter, more cost-effective customer journeys in 2025.

Here’s a quick breakdown of the top takeaways.

1. The Rising Cost of Digital Experiences

Traffic is getting more expensive and more competitive.

Organic traffic is down by 5.7%.
Paid traffic now makes up 39% of visits.

More worrying? Overall traffic is down 3.3%, even as ad spend rises by 13.2%. Consumers are migrating toward closed ecosystems like TikTok, and search engine changes are squeezing unpaid visibility.

“If someone does land on your site,” said Evan, “you can’t afford to lose them to a clunky experience.”

2. Earning Loyalty

Retention is getting tougher and more expensive:

30-day retention is down 7%
Bounce rates for returning paid traffic are rising
Brands are spending more to re-acquire the same users

But here’s the good news: Sites with the highest retention also had:

High retention rate of digital experiences

Retention isn’t about loyalty programs anymore. It’s about immediate value:

If the first experience isn’t seamless, fast, and relevant, there might not be a second chance.

As John pointed out:

“Customers are overwhelmed. Consent banners, pop-ups, chatbots… all stacked on each other. The more you push, the more they bounce.”

3. Personalization = Relevance

Our 2025 Consumer Trends research confirms it: Shoppers now expect relevance, not just recognition. What moves the needle?

Personalized shopping experience factors

“It’s not just about product recs. It’s about respect. Show people you’re paying attention, and they’ll come back.” – John

At AB Tasty, we’ve taken personalization beyond demographics into emotional and behavioral segmentation.

With EmotionsAI, brands can now tailor experiences based on what really motivates visitors:

Safety Seekers: need reassurance (trust signals, easy returns)
Fast-Trackers: want speed (minimal steps to checkout)
Community-Driven: respond to peer validation (“others bought this”)
Comfort Seekers: look for clarity and low friction

These insights can shape everything from PDP content to CTA language. And best of all? It’s not guesswork, it’s behavior-based.

4. Attention Is Dropping – Especially for New Visitors

Consumers are seeing less of your site, unless you’re earning their attention.

From Contentsquare:

Overall site consumption (time, scroll rate, pages viewed) is down 6.5%
Returning visitors consume 19% more pages and spend one minute longer on site than new visitors
More landing pages are now product pages, not homepages

This shift reinforces something we’ve known for a while: homepages are branding, product pages are business. If you want to improve conversion, that’s where you optimize.

5. AI: The Secret Weapon to Optimize Digital Experiences

Both AB Tasty and Contentsquare are embracing AI to help marketers do more with less:

At AB Tasty:

Our AI Copilot helps teams quickly generate test ideas, reword content, promote blocks, or personalize experiences with natural language prompts.

At Contentsquare:

Chat with Sense makes it easy to explore analytics in plain English

The goal? Speed up insight, scale up experimentation, and automate repetitive tasks – without sacrificing control.

6. Experiment Often, Act Fast

The most successful teams aren’t just collecting data. They’re closing the loop:

1. Contentsquare shows what’s broken

2. AB Tasty helps you test, fix, and personalize

3. AI helps you move faster, with less effort

Whether it’s launching 1:1 recommendations, fixing high-friction journeys, or adapting content to emotional profiles, the brands that win in 2025 are those that act quickly and optimize constantly.

Key Takeaways

In 2025, optimizing digital experiences isn’t just a nice-to-have – it’s a survival strategy. With rising acquisition costs and falling attention spans, brands need to ensure every visit delivers real value. That means fixing friction fast, personalizing with emotional and behavioral insight, and using AI to move from insight to action at speed. Retention now begins with the first impression, and product pages, not homepages, are where real conversions happen.

The brands that will win are those that test often, personalize with purpose, and close the loop between data and decision-making.

Want More?

Explore the 2025 Consumer Trends Report by AB Tasty.

Check out the 2025 Benchmark Report by Contentsquare.

Watch the full webinar here:

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May 23, 2025

8min read

A Practical Guide to the European Accessibility Act

Thomas Hein

This guest blog on the European Accessibility Act is written by Dr. Thomas Hein, Head of Digital Inclusion at Arc Inclusion and Head of Customer Research at REO Digital. With a background in decision-making psychology and over a decade of experience, Thomas helps organisations embed accessibility and user insight into their design systems, development workflows, and leadership practices. He’s worked across sectors including finance, retail, utilities, and healthcare, and is known for making accessibility and UX practical, evidence-based, and commercially relevant.

Arc Inclusion is a consultancy that partners with organisations to build inclusive digital products and services — combining accessibility expertise with deep design and delivery know-how.

REO Digital is a user research and service design agency that helps teams deliver digital services grounded in real user needs — ensuring they are not only usable but inclusive by design.

In this blog, Thomas shares practical guidance on navigating one of the biggest shifts in digital accessibility policy to date: the European Accessibility Act.

The countdown is on: by 28 June 2025, the European Accessibility Act (EAA) will come into full effect across the EU. For organisations offering digital products and services, it marks a decisive shift. No longer optional, accessibility will become a legal requirement for doing business in Europe. Yet for many, the specifics remain unclear — and misconceptions are rife.

1. Why the European Accessibility Act Matters — and Who Can’t Afford to Ignore It

The European Accessibility Act is an EU directive designed to harmonise accessibility requirements across member states. It covers both physical and digital goods and services — from banking apps to e-commerce platforms, transport ticketing systems to e-books — and aims to ensure that people with disabilities can use and interact with them on equal terms.

But it doesn’t stop at EU-based companies. If your business sells to EU customers, the EAA applies to you, even if you’re based in the UK or elsewhere. Whether you’re an online retailer shipping to Berlin, a banking app available in Madrid, or a ticketing platform used in Paris — the legislation counts.

Failing to comply could mean more than a slap on the wrist. Each EU country has the power to set and enforce its own penalties. That means fines can pile up — ranging from €5,000 to €500,000 depending on the market — and, in some cases, your product could be banned from sale altogether.

And if you’re trying to secure public sector contracts — or selling into other businesses as a B2B supplier or SaaS provider — forget it: non-compliance is a non-starter.

More and more organisations, not just governments, are embedding accessibility requirements into procurement processes, meaning your product won’t even make it onto the shortlist without meeting the EAA.

2. Think WCAG Is Enough? Think Again.

To understand what the EAA demands, it’s important to get clear on two key standards:

WCAG (Web Content Accessibility Guidelines) is a globally recognised framework developed by the W3C. It outlines best practices for making web content more accessible to people with disabilities — covering things like text alternatives, keyboard navigation, and colour contrast. It’s a strong foundation for digital accessibility, but it’s not a law.
EN 301 549 is the official European standard for accessibility of ICT (Information and Communication Technologies) products and services — including websites, apps, documents, software, and hardware. It references WCAG, but also goes beyond it to cover additional requirements such as assistive tech compatibility, non-web software, hardware interfaces, and support services. EN 301 549 is the technical benchmark the EAA uses to define compliance.

Here’s where things get tricky — and where many agencies, consultancies, and suppliers get it wrong.

Some will tell you that WCAG 2.2 AA compliance is all you need to meet the EAA’s requirements. But that’s a dangerously oversimplified take.

Let’s break it down with a metaphor:

Think of building an accessible digital product like organising a music concert.

WCAG is your production handbook — it helps you plan things like lighting, stage layout, and how to ensure clear signage and smooth crowd flow. It’s full of best practices, but it’s not the law.
EN 301 549 is the venue inspection checklist — it’s what the safety inspectors go through to ensure things like accessible seating, fire exits, and hearing loop systems are in place. It’s technical and detailed, and helps you prove you’re meeting the requirements.
The European Accessibility Act (EAA) is the legal permit to run the show — no matter how good the performance is, if the venue isn’t accessible to disabled fans, the event can be cancelled, fined, or banned from future bookings.

You can plan with the best of intentions, but if wheelchair users can’t get to their seats, or if blind fans can’t navigate the ticketing system, it’s not just a bad experience — it’s a legal failure.

Accessible experiences aren’t just about following a checklist. They’re about making sure everyone gets to enjoy the show.

Importantly, following WCAG alone won’t make you compliant. Using overlays will make things worse. And automated tools alone are unlikely to even get you close.

If your vendor says otherwise, be wary. Either they don’t understand the EAA or they’re trying to sell you an easy fix that doesn’t deliver. The risk? Your organisation spends money on remediation — and still faces penalties, brand damage, and restricted access to EU markets.

3. How to Prepare for European Accessibility Act Compliance: Key Steps for 2025

The truth is, we’re basically almost there! While 2025 might have felt far off, the truth is that compliance isn’t a one-off task. It’s a journey (an Arc, a story) — and one that requires technical, organisational, and sometimes cultural change.

Here are the key steps every business should be considering now:

1. Audit Beyond WCAG

Start with a comprehensive audit — but make sure it goes beyond WCAG. Check content, functionality, and code against EN 301 549. This includes things like voice control support, modifiable captions, multi-channel ICT and hardware like public terminals, and accessible customer support channels.

2. Check Your Entire Ecosystem

Accessibility isn’t just about websites. If you provide a mobile app, self-service kiosk, e-book, or even real-time transport updates — you’re likely within the EAA’s scope.

European Accessibility Act Compliance: Mobile

3. Map Internal Capabilities

Do your teams have the knowledge and skills to implement accessibility best practices? If not, now’s the time to train developers, designers, and product teams. Ensure that accessibility is baked into your sprints, not bolted on later.

4. Update Procurement & Partnerships

If you rely on vendors or third parties for platforms, customer service tools, or payment infrastructure, check their compliance too. You are responsible for what your customers experience, even if a supplier built it.

5. Review and Retest

Accessibility isn’t static. Conduct regular user testing — ideally with disabled users who use assistive technologies — to catch issues that automated tools miss. Screen reader compatibility, captions, contrast, and keyboard access should all be part of your checklist. And don’t stop at audits — experiment. Try small changes, test them, and see what actually improves the experience. Tools like AB Tasty make it easier to run inclusive A/B tests and make sure your updates work for everyone.

4. Compliance Is Just the Start — Accessibility Is a Business Superpower

It’s easy to see the EAA as just a legal hurdle — but accessibility is a strategic advantage, not a sunk cost. It’s a long-term investment in growth, resilience, and relevance: here’s why:

Inclusive design broadens your market — especially in Europe, where over 135 million people live with disabilities and millions more experience temporary, age-related, or situational impairments.
Accessibility also improves usability for everyone, enhances brand reputation, and drives innovation (think captions, voice interfaces, dark mode — all born from accessibility).
Demonstrating a commitment to inclusion and equity builds brand trust and aligns your brand with modern values.
Customers increasingly expect inclusive digital experiences, and organisations that lead in this space enjoy stronger loyalty, better SEO, and increased conversions.
Accessibility reduces legal and reputational risk — but more than that, it’s simply good business.

In the race toward compliance, those who see accessibility as an enabler, not a burden, will pull ahead.

Final Thought

The European Accessibility Act isn’t just about avoiding fines — it’s about recognising that inclusive design is better design. The businesses that succeed won’t just be those that hit the compliance deadline, but those that embed accessibility into their core values, the way they work, and their working culture.

If your teams are overwhelmed or don’t know where to start, don’t fall for quick fixes or checkbox audits. The right partner will help you build lasting capabilities — and a digital experience that works for everyone.

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Your Domain, Your Rules: Domain Delegation by AB Tasty

AB Tasty

In an era where privacy regulations tighten, browser restrictions escalate, and trust is hard-won, brands need more than great ideas to drive their digital experiments — they need full control over how their technologies behave.

That’s why AB Tasty is proud to introduce Domain Delegation, a groundbreaking feature designed to place independence, performance, and compliance at the heart of your experimentation strategy.

Why Domain Delegation changes the game

The digital landscape is constantly shifting at a fast pace. With evolving browser privacy policies (like ITP and ETP), widespread ad blockers, and stricter data regulations, third-party scripts are increasingly vulnerable — slowing down your site, triggering blockers, or worse, being outright rejected.

For enterprises operating under rigorous security standards, these challenges can make it nearly impossible to deploy tools like AB Tasty efficiently.

That’s where Domain Delegation steps in.

This powerful new feature allows you to serve the AB Tasty tag from a custom subdomain you control (e.g., abt.yourdomain.com), while AB Tasty takes care of the heavy lifting behind the scenes.

What you can do with Domain Delegation

Host the AB Tasty tag on your own subdomain (e.g., abt.brand.com)
Easily delegate DNS management to AB Tasty through an intuitive guided setup
Bypass blockers, improve load speed, and boost reliability
Deliver the tag under your own brand, reinforcing trust and compliance
Minimal technical effort, fully managed from the AB Tasty interface

What’s in It for You

✅ Higher tag reliability
⚡ Better site performance & Core Web Vitals
🔐 Stronger data governance & security posture
🤝 More brand trust with white-labeled tag delivery

Who benefits the most?

Highly regulated industries: Finance, healthcare, government
Privacy-first brands: Total data flow ownership
Tech teams optimizing performance and autonomy
Any organization battling browser or ad blockers

Why Now?

Privacy restrictions aren’t going away. Ad blockers aren’t easing up.
With Domain Delegation, AB Tasty empowers you to take back control over your experimentation stack — ensuring you stay compliant, performant, and trusted.

This isn’t just a technical feature.
It’s a strategic foundation for the next era of digital experimentation.

How It Works

Define your subdomain (e.g., abt.mybrand.com)
Follow the easy delegation flow in AB Tasty’s interface
Let us handle the rest (provisioning, certificates, delivery)

Your tag. Your domain. All powered by AB Tasty.

Domain Delegation Availability

Interested in Domain Delegation? Contact your AB Tasty Customer Success Manager to get started.

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Feedback Copilot: Turn The Customer Voice Into Action in Seconds with AI

AB Tasty

Every insight starts with a story, and every story deserves to be heard. But when your NPS® or CSAT campaigns generate thousands of responses, how do you turn all that feedback into real action, fast?

That’s why we created Feedback Copilot, the AI-powered assistant that transforms your NPS® or CSAT campaigns into actionable intelligence – instantly.

The problem collecting feedback: Too many voices, not enough time

Let’s face it: analyzing feedback is a nightmare. Even when users leave valuable insights in NPS campaigns, the manual work required to analyze hundreds (or thousands) of verbatim responses can paralyze teams. One client told us:

“We received 5,000 verbatim responses. That’s two weeks of manual work.”

And because it’s so time-consuming, teams either:

Underutilize feedback tools like NPS/CSAT
Or don’t act on the insights at all

The solution to overwhelming feedback? Feedback Copilot

Feedback Copilot was born from this pain point – combining the best of AI with our all-in-one experimentation platform. It’s available for free within AB Tasty, and automatically activated for NPS/CSAT campaigns with over 100 responses.

What our Feedback Copilot does:

Segments feedback by sentiment: Instantly separates positive and negative comments based on campaign scores.
Clusters similar comments into key themes: Groups feedback into topics like “price,” “delivery,” or “UX.”
Summarizes each theme: Provides a short description, confidence score, and sample comments for every theme.
Highlights what matters most: Surfaces the top 3 positive and top 3 negative drivers of satisfaction.
Exports labeled feedback: Download results for use in Excel, PowerPoint, and more.

And it does all this while respecting data privacy, using a self-hosted model (Hugging Face) instead of sending sensitive content to third-party LLMs.

What makes our Feedback Copilot unique?

Instant categorization of massive feedback volumes
Quantification of qualitative input – finally, your verbatim responses have numbers to back them
Integrated NPS/CSAT in your test workflows – measure why something works, not just if it does
Enterprise-grade privacy: Comments stay on AB Tasty’s infrastructure

Who benefits from Feedback Copilot?

CROs & Product Managers: Prioritize optimizations based on real user pain points.
UX & Research Teams: Detect trends and go beyond basic survey stats.
Marketing & Customer Success: Understand friction points before and after launches.

What’s next?

Early adopters already report major productivity gains – and they’re asking for more:

Direct A/B test ideas from negative themes
Verbatim-based segmentation for campaign targeting
Improved theme granularity for enterprise-scale campaigns

We’re just getting started. Feedback Copilot is not just a feature – it’s your co-pilot in delivering better, faster, and more human-centered product decisions.

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Test, Dress, Impress: Top Fashion Consumer Trends 2025

Kate Feng

Forget traditional shopping journeys, today’s fashion consumers are rewriting the rules! Our 2025 Fashion Consumer Trends report reveals the shifts in how consumers discover, decide, and commit to fashion brands today.

Introduction

In a recent webinar, 3 experimentation leaders came together to unpack the latest consumer trends shaping the fashion industry. The conversation brought together Ben Labay, CEO of Speero, Jonny Longden, Speero’s Chief Growth Officer, and Mary Kate Cash, Head of Growth Marketing for North America at AB Tasty. They shared valuable insights from AB Tasty’s recent global fashion consumer survey, highlighting what drives inspiration, conversion, and retention in today’s fast-evolving fashion landscape.

Social Media is Changing the Game

Traditional search engines remain the top channel for fashion discovery, followed by direct website visits, Google Shopping, and Social Media ads. However, the differences between these top four channels are shrinking year over year, with social media rapidly gaining ground, especially among Gen Z consumers, where 60% of survey respondents highlighted Social Media ads as their preferred avenue to finding new products. Jonny predicts this trend will expand across all age groups.

“Social and fashion just go so hand in hand. The big change that’s happened with social is that fashion itself has become more rapid in the way it changes, and so it’s really driving different consumer behaviour.”

Jonny Longden, Chief Growth Officer at Speero

Different Channels, Different Mindsets

People use search when they know what they want. Social media, on the other hand, encourages experimentation. As Ben pointed out, shoppers arriving from social media are often inspired to try new styles or connect with communities, engaging in “social shopping” and not just focusing on finding a specific product. This opens the door for more tailored experiences based on where customers are coming from and what type of inspiration they’re seeking.

What the Fashion Consumer Trends 2025 Tell Us About Expectations

Reward Loyalty in Meaningful Ways – When asked how brands could make customers’ experiences more personal, the top answer was clear: rewarding brand loyalty. Discounts, early access, or perks for repeat buyers make shoppers feel seen and increase the chances of account creation and repeat visits.

Jonny pointed out that “the really interesting tension in this whole industry at the moment is the difference between what is the right thing to do and what is the profitable thing to do. about finding that balance is experimentation in the broadest sense of the word.”

Make Recommendations That Actually Fit – Consumers want relevant suggestions that go beyond basic personalization. Jonny compared it to having a personal stylist: a brand should know both the customer and the market, understanding trends and styles while matching these to individual preferences.

What Actually Drives Conversions

When it comes to converting browsers into buyers, shoppers across generations are surprisingly aligned.

Product quality leads the way across all age groups and regions. Shoppers are still willing to pay for craftsmanship, comfort, and durability, even in a price-sensitive market.

Discounts come next, but the strategy matters. Overuse can cheapen brand perception. As Jonny put it: “Fashion, especially the lower price point fashion has ended up in a kind of race to the bottom where discounting is the way to compete. […] and a lot of consumers wouldn’t consider paying full price. The challenge is how to be careful with the commerciality of discounting.”

Sizing and fit clarity also ranks high, especially in fashion, where hesitation often comes from uncertainty about how something will feel or look. Ben noted that some major retailers are tackling this head-on, investing heavily in tools to improve sizing and try-on experiences.

For Gen Z, high-quality reviews and transparency around production methods, sustainability, and pricing are big drivers. Ben shared tactical approaches to transparency on product detail pages, like using engaging CTAs such as “Do you want to know a secret?” to reveal value props related to sustainability and ethical production.

Why Shoppers Abandon Carts

Cart abandonment remains a major friction point, and two reasons dominate globally:

Not ready to buy – Many shoppers use the cart to explore shipping, delivery timeframes, or total cost before making a decision. Jonny explained it simply: “People use the checkout of an ecommerce website just to see what’s gonna happen. […] When’s it gonna be delivered? What are the delivery options? How much is delivery gonna cost?
Payment Methods not being accepted – This came in a close second, showing how overlooked payment flexibility still is. Buy-now-pay-later options like Klarna may move the needle, especially in fashion, where customers often purchase multiple sizes with the intention of returning some items. Jonny emphasized that payment method testing is one of the best arguments for AB testing and experimentation, as the “best practice” of offering many payment options doesn’t always lead to better conversion.

Retention: Loyalty Built on Familiarity

Finally, we explored what drives customers to create accounts with fashion brands, buy products from them, and what motivates them to stick around.

Loyalty Rewards Drive Engagement – Globally, the top reason for account creation is earning loyalty points, especially among Gen Z and Millennials. Discounts and sale updates follow closely behind.

Balancing Novelty and Trust – Shoppers crave both newness and familiarity: new products ranked highest in driving retention, but previously purchased items and trusted brands followed close behind. This balance is key to keeping customers engaged long-term.

Jonny raised an interesting point: a lot of loyalty programs end up rewarding people who would have come back anyway. Mary Kate added that tools like segmentation can help brands tell the difference between genuinely loyal customers and those just passing through, making it easier to design rewards that actually make an impact.

While conventional wisdom discourages forced account creation, Ben challenged this assumption, arguing it can work when paired with compelling promotions or rewards, especially in social ads. “Social ads that inspire and combine short-term promotions, rewards, and discounts are increasingly leading into forced account creation sequences.”

Conclusion

As shown in our 2025 Fashion Consumer Trends report, the e-commerce fashion industry is evolving, along with consumer expectations. To remain competitive, brands must go beyond simply selling products. They must deliver seamless, personalized shopping experiences that speak directly to the modern shopper’s needs.

This is where experimentation becomes a critical advantage. The most successful brands are those willing to test assumptions about everything from product discovery and presentation to payment options, loyalty strategies, and the evolving role of social commerce. Experience optimization is no longer a nice-to-have. It’s the foundation for building trust, loyalty, and long-term growth in the fast-moving world of online fashion.

Want a deeper dive? Watch the full webinar below to hear expert insights and practical strategies shaping the future of fashion commerce.

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Minimal Detectable Effect: The Essential Ally for Your A/B Tests

Hubert Wassner

In CRO (Conversion Rate Optimization), a common dilemma is not knowing what to do with a test that shows a small and non-significant gain.

Should we declare it a “loser” and move on? Or should we collect more data in the hope that it will reach the set significance threshold?

Unfortunately, we often make the wrong choice, influenced by what is called the “sunk cost fallacy.” We have already put so much energy into creating this test and waited so long for the results that we don’t want to stop without getting something out of this work.

However, CRO’s very essence is experimentation, which means accepting that some experiments will yield nothing. Yet, some of these failures could be avoided before even starting, thanks to a statistical concept: the MDE (Minimal Detectable Effect), which we will explore together.

MDE: The Minimal Detectable Threshold

In statistical testing, samples have always been valuable, perhaps even more so in surveys than in CRO. Indeed, conducting interviews to survey people is much more complex and costly than setting up an A/B test on a website. Statisticians have therefore created formulas that link the main parameters of an experiment for planning purposes:

The number of samples (or visitors) per variation
The baseline conversion rate
The magnitude of the effect we hope to observe

This allows us to estimate the cost of collecting samples. The problem is that, among these three parameters, only one is known: the baseline conversion rate.

We don’t really know the number of visitors we’ll send per variation. It depends on how much time we allocate to data collection for this test, and ideally, we want it to be as short as possible.

Finally, the conversion gain we will observe at the end of the experiment is certainly the biggest unknown, since that’s precisely what we’re trying to determine.

So, how do we proceed with so many unknowns? The solution is to estimate what we can using historical data. For the others, we create several possible scenarios:

The number of visitors can be estimated from past traffic, and we can make projections in weekly blocks.
The conversion rate can also be estimated from past data.
For each scenario configuration from the previous parameters, we can calculate the minimal conversion gains (MDE) needed to reach the significance threshold.

For example, with traffic of 50,000 visitors and a conversion rate of 3% (measured over 14 days), here’s what we get:

The horizontal axis indicates the number of days.
The vertical axis indicates the MDE corresponding to the number of days.

The leftmost point of the curve tells us that if we achieve a 10% conversion gain after 14 days, then this test will be a winner, as this gain can be considered significant. Typically, it will have a 95% chance of being better than the original. If we think the change we made in the variation has a chance of improving conversion by ~10% (or more), then this test is worth running, and we can hope for a significant result in 14 days.

On the other hand, if the change is minor and the expected gain is less than 10%, then 14 days will not be enough. To find out more, we move the curve’s slider to the right. This corresponds to adding days to the experiment’s duration, and we then see how the MDE evolves. Naturally, the MDE curve decreases: the more data we collect, the more sensitive the test becomes to smaller effects.

For example, by adding another week, making it a 21-day experiment, we see that the MDE drops to 8.31%. Is that sufficient? If so, we can validate the decision to create this experiment.

If not, we continue to explore the curve until we find a value that matches our objective. Continuing along the curve, we see that a gain of about 5.44% would require waiting 49 days.

That’s the time needed to collect enough data to declare this gain significant. If that’s too long for your planning, you’ll probably decide to run a more ambitious test to hope for a bigger gain, or simply not do this test and use the traffic for another experiment. This will prevent you from ending up in the situation described at the beginning of this article, where you waste time and energy on an experiment doomed to fail.

From MDE to MCE

Another approach to MDE is to see it as MCE: Minimum Caring Effect.

This doesn’t change the methodology except for the meaning you give to the definition of your test’s minimal sensitivity threshold. So far, we’ve considered it as an estimate of the effect the variation could produce. But it can also be interesting to consider the minimal sensitivity based on its operational relevance: the MCE.

For example, imagine you can quantify the development and deployment costs of the variation and compare it to the conversion gain over a year. You could then say that an increase in the conversion rate of less than 6% would take more than a year to cover the implementation costs. So, even if you have enough traffic for a 6% gain to be significant, it may not have operational value, in which case it’s pointless to run the experiment beyond the duration corresponding to that 6%.

In our case, we can therefore conclude that it’s pointless to go beyond 42 days of experimentation because beyond that duration, if the measured gain isn’t significant, it means the real gain is necessarily less than 6% and thus has no operational value for you.

Conclusion

AB Tasty’s MDE calculator feature will allow you to know the sensitivity of your experimental protocol based on its duration. It’s a valuable aid when planning your test roadmap. This will allow you to make the best use of your traffic and resources.

Looking for a free and minimalistic MDE calculator to try? Check out our free Minimal Detectable Effect calculator here.

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How We Made AB Tasty’s Feature Experimentation SDK OpenFeature-Compatible — And Even Easier to Adopt

Julie Dumont

Why We Chose to Adopt OpenFeature

At AB Tasty, we believe a great product experience starts with smooth feature delivery and personalization. Our Feature Experimentation SDK empowers tech teams to control feature rollout and tailor interfaces to each visitor.

But in today’s complex, fast-moving ecosystems, interoperability is key. That’s where OpenFeature comes in.

What is OpenFeature?

OpenFeature is an open-source specification that defines a standardized API for feature flag management. It lets developers manage feature flags consistently across tools and platforms.

Why it matters:

Interoperability: A unified API across providers.
No vendor lock-in: Switch tools without rewriting business logic.
Thriving community: Backed by CNCF and designed for cloud-native development.

What We Built: The Official AB Tasty OpenFeature Provider

To ensure our SDK plays well with OpenFeature, we created an official provider:
@flagship.io/openfeature-provider-js

You can now use our feature flags in any OpenFeature-compliant setup, like this simple Node.js example:


JavaSvript
const express = require("express");
const { ABTastyProvider } = require("@flagship.io/openfeature-provider-js");
const { OpenFeature } = require("@openfeature/server-sdk");

const app = express();
app.use(express.json());

const provider = new ABTastyProvider("<ENV_ID>", "<API_KEY>");
await OpenFeature.setProviderAndWait(provider);

app.get("/item", async (req, res) => {
  const evaluationContext = {
    targetingKey: "visitor-id",
    fs_is_vip: true,
  };

  OpenFeature.setContext(evaluationContext);
  const client = OpenFeature.getClient();

  const fsEnableDiscount = await client.getBooleanValue("fs_enable_discount", false, evaluationContext);
  const fsAddToCartBtnColor = await client.getStringValue("fs_add_to_cart_btn_color", "blue", evaluationContext);

  res.json({
    product: {
      name: "AB Tasty Feature Experimentation T-shirt",
      price: 20,
      discountEnabled: fsEnableDiscount,
      btnColor: fsAddToCartBtnColor,
    },
  });
});

app.listen(3000, () => console.log("Server running on port 3000"));

Even Smarter: Our Built-In Codebase Analyzer

We’ve made onboarding even easier. Our CLI tool, which is also bundled with the AB Tasty VSCode Extension, includes a powerful codebase analyzer.

What it does:

Scans your codebase
Detects flags and usage from other providers (e.g., Optimizely, Kameleoon, etc.)
Identifies if you’re already using OpenFeature
Automatically generates corresponding flags in Flagship

Example: Already using OpenFeature with a competitor? Just plug in our CLI, and AB Tasty will detect your flags and preconfigure them for you — saving you hours of manual setup.

What This Means for You

By supporting OpenFeature, we offer:

Faster integration with your current stack
Greater flexibility in your feature flag strategy
Portability across cloud platforms
Alignment with open, modern dev practices

Quick Integration Guide

1. Install dependencies


Shell
npm install @openfeature/server-sdk
npm install @flagship.io/openfeature-provider-js

2. Initialize the provider


JavaScript
const { ABTastyProvider } = require("@flagship.io/openfeature-provider-js");
const { OpenFeature } = require("@openfeature/server-sdk");

const provider = new ABTastyProvider("<ENV_ID>", "<API_KEY>");
await OpenFeature.setProviderAndWait(provider);

3. Define the evaluation context


JavaScript
const evaluationContext = {
  targetingKey: "visitor-id",
  fs_is_vip: true,
};

OpenFeature.setContext(evaluationContext);

4. Evaluate your flags


JavaScript
const client = OpenFeature.getClient();

const fsEnableDiscount = await client.getBooleanValue(
  "fs_enable_discount",
  false,
  evaluationContext
);

const fsAddToCartBtnColor = await client.getStringValue(
  "fs_add_to_cart_btn_color",
  "blue",
  evaluationContext
);