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:
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.
This is a guest article written by Edoardo Aliprandi from our partners at Converteo on the effect of US tariff hikes in both the US and Europe. Edoardo is a lead data pricing manager analytics engineer with a background in economics and has given us a guide as to how the threat of new tariffs will impact e-commerce websites, the economy, and price-elasticity.
Entering turbulence and historical precedents
One April morning, standing behind a bed of tulips in the White House garden, Donald Trump unveiled his chart for international trade to a global audience: to sell in America, thou shalt pay tariffs. Very soon, the golden calf took a hit: the bull market, already faltering for weeks, completely collapsed. Since April 2, major stock indices have been in free fall, casting a shadow of uncertainty over the global economic outlook. Price stability—barely recovering from post-Covid turbulence—is once again being tested. This political bombshell and the market turmoil it triggered is reminiscent of the first oil shock of 1973. In the aftermath of the Yom Kippur War, amid declining U.S. oil reserves, OPEC imposed an oil embargo on Western economies, causing oil prices to skyrocket by 70%. The deeper reason? To strengthen their geopolitical standing and wield powerful bargaining leverage—a logic not unlike today’s White House. The outcome is well-known: stalled growth, rising inflation and unemployment… in a word, stagflation, which defined the 1970s as much as ABBA’s greatest hits.
Since then Trump has backtracked, offering a 90-day reprieve for most countries except China, but it’s not exactly clear where anyone stands. While financial markets breathed a sigh of relief—though it remains to be seen whether this marks a true recovery or just a “dead cat bounce”—uncertainty continues to hang over the economic outlook and supply chains of American and European companies. This article explores a scenario in which the United States continues to use tariffs as a geopolitical weapon, along with the economic implications and pricing strategy consequences for businesses.
If tariff hikes are sustained, companies will need to adjust to a new paradigm: rising input costs, lost markets, and the emergence of new ones—forcing a shift in strategies and pricing to reflect these new realities.
Supply and demand shocks: pricing implications
By simulating the behavior of economic agents—businesses and consumers—the Aggregate Supply–Aggregate Demand (AS-AD) macroeconomic model helps estimate the impact of such shocks on activity and prices. It is based on two core principles:
All else equal, companies seek to maximize margins and will try to increase sales as the price index rises. Supply is thus positively correlated with the price index.
Consumers’ real income and savings fall as prices rise, making them feel poorer and less inclined to spend (Pigou effect). Demand is thus negatively correlated with the price index.
In simple terms, two curves intersect at equilibrium (Figure 1), defining an equilibrium price and output. So, what would be the impact of a shock—like a tariff hike—on prices?
The AS-AD model describes two plausible scenarios, each with different effects on the price index:
Supply shock: Input costs rise, squeezing business margins. For a given price index, companies are willing to produce less, shifting the aggregate supply curve left (Figure 2). In this case, reduced activity and restricted supply push prices up: we’re in a stagflation scenario.
Demand shock: Households experience income losses (e.g., due to reduced exports), and for a given price level, they consume less, shifting the demand curve left (Figure 3). Falling demand pushes businesses to lower prices to sell their products, leading to deflation.
Clearly, a US tariff hike or oil shock affects both supply and demand curves: rising input costs hurt business margins and production capacity, while households lose income due to declining economic activity. Still, one effect usually dominates—stagflation in the 1970s, for instance, was mainly supply-driven. What about the shock triggered by the new U.S. tariffs?
Inflation spiral in the U.S., deflationary pressure in Europe?
Trump’s trade war is turning into a full-blown crusade against the rest of the world (EU, China, BRICS). So the impact will likely differ between the initiator and those on the receiving end: one economy closing itself off, and others losing a major export market.
In the U.S., trade barriers will significantly raise the cost of imports—possibly as much as the tariff increases themselves. Even domestic production won’t be spared, as many raw materials and components are imported and account for a large share of final costs, especially in strategic sectors like autos and electronics. Companies will face a choice: absorb the added costs or relocate production—a risky and expensive move in an uncertain context that could dampen investment. The economy may thus face a supply shock and stagflation, driven by margin pressures that discourage production expansion.
In Europe, falling exports to the U.S. could reduce incomes. Companies may respond by adjusting their labor force, weighing on household demand. While input costs will also rise, the effect should be milder, since retaliation will likely target only U.S. products. A demand shock—and thus deflation—is more likely, potentially worsened by Chinese products dumped onto the European market after being rerouted from the U.S.
These assumptions appear to be confirmed by recent moves from central banks. Jerome Powell at the Fed has become more cautious about rate cuts initiated in late 2024, to curb price surges. In contrast, JP Morgan predicts three rate cuts in Europe this year, aimed at stimulating demand and fighting deflation.
Different challenges for businesses on each side of the Atlantic
In the U.S., businesses will need to revisit sourcing strategies and manage inflationary conditions.
In Europe, they must prepare for falling demand and weaker consumer willingness to pay for certain products.
Pricing in a fragmented world: adapting to local elasticities
In a world marked by trade fragmentation and rising protectionism, businesses must pay renewed attention to pricing strategy. The U.S. trade war—triggered by sudden tariff hikes—will not have symmetric effects across regions. The U.S. may face inflation from rising input costs, while Europe could experience a negative demand shock and deflationary pressures, worsened by Asian imports redirected from America.
In this context, understanding price elasticity becomes crucial — both as a tool for analysis and for experimentation. In Europe, where purchasing power is under pressure, raising prices can quickly lead to a sharp drop in sales volumes. But cutting prices isn’t a silver bullet either: if demand is inelastic, it may have little impact. That’s why businesses need detailed elasticity analysis by segment, drawing on internal data, market insights, and advanced analytics. The goal? Take a defensive approach on highly price-sensitive products, while maintaining stable pricing for high-value items where demand is less elastic.
Experimentation plays a key role in this process. By testing different price points across products and segments, companies can see in real time how cost changes impact conversion rates and overall sales. Understanding the impact of tariffs can help fine-tune pricing strategies to strike the right balance between volume, margin, and customer retention. This test and learn process would eventually enable companies to estimate a price tipping point, for which the business objective is optimized.
In the U.S., the new tariffs shuffle the deck but don’t offer immediate wins for all. Restructuring supply chains, reshoring production, or sourcing from new partners in unaffected regions is complex, risky, and costly. Market leaders—with stronger financial and contractual leeway—are better positioned to invest and possibly turn these challenges into long-term advantages, absorbing costs or even improving margins through price repositioning.
In inflationary settings, market leaders might also pursue aggressive commercial strategies, accepting temporary margin losses to outpace competitors. Weaker players, unable to absorb costs or adjust prices, could suffer under this new paradigm. Competitive pressure may accelerate market consolidation, benefiting the best-prepared firms.
Conclusion
In a reshaped global economy, understanding the Impact of tariffs on E-Commerce pricing elasticity is a critical lever of competitiveness. It requires a tailored, market-specific approach, combining knowledge of local elasticities with logistical adaptability. Only then can companies transform tariff constraints into sustainable competitive advantages.
At AB Tasty, we love providing our users with the best possible experience by making it easy to create and execute optimization campaigns. That’s why we recently significantly improved our Modification Engine, one of the core components of our Visual Editor and our JavaScript tag.
The Modification Engine is the system that dynamically alters our client’s website content and appearance without requiring direct changes to the source code. It applies the modifications defined in campaigns by injecting the changes via JavaScript on the visitor’s browser.
Here are the two big improvements:
Maximum compatibility with our clients’ websites, including Shadow DOM and iFrames support.
Optimized performance for faster loading and smoother execution of modifications, enhancing the experience for visitors on our clients’ sites.
Enhanced Compatibility with Modern Technologies
Our clients are developing increasingly complex websites, utilizing technologies like Shadow DOM and iFrames to structure their web applications. Now, our Visual Editor is compatible with these technologies so you can create, modify, and manage content to deliver the latest in experiences to your visitors.
A lighter JavaScript tag: The overall impact of AB Tasty has already been reduced by 2.3 KB, with further optimizations planned.
Less impact on overall performance: We observed an improvement up to 11% in website performance, depending on the number of modifications applied.
Optimized Loading and Execution Times
More efficient JavaScript execution: The average execution time for modifications is 30% to 55% faster.
Decreased “Render Blocking Time”: Improvements range from 11% to 50%, with even greater benefits for larger campaigns.
No longer classified as a “Long main-thread task”
Faster Application and Reapplication of Modifications
Another key improvement in this update is the speed of applying and reapplying modifications:
Applying modifications is 2.2 to 2.75 times faster.
Reapplying modifications is 4 to 5.7 times faster, a major advantage for dynamic A/B testing.
Real-World Examples
We conducted tests on various campaigns to measure these improvements in action:
Campaign with 19 Modifications:
Total execution time: 1.79ms (down from 3.96ms, 2.2 times faster).
Reapplying time after a modification is removed: 0.58ms (down from 3.34ms, 5.7 times faster).
up to 5% improvement in overall site performance.
Campaign with 64 Modifications:
Total application time: 4ms (down from 10-11ms, 2.5 to 2.75 times faster).
Reapplying time after a modification is removed: 2.7ms (down from 11-12ms, 4 to 4.4 times faster).
Up to 11% improvement in overall site performance.
With these enhancements, our newest Modification Engine version is now more robust, faster, and better suited for modern websites.
You benefit from a smoother user experience, and your visitors enjoy faster loading times. And this is just the beginning: stay tuned for even more powerful optimizations in the coming months.
Feel free to test these improvements and share your feedback with us!
AB Tasty’s Visual Studio Code extension lets developers manage their experimentation and personalization campaigns directly from their IDE. This game-changing tool streamlines technical workflows and makes experimentation more accessible across your organization.
We’re all about making experimentation and personalization seamless for all teams. While AB Tasty’s UI is designed to be intuitive, we know that many developers prefer to work directly in their IDE. That’s why we built the AB Tasty Visual Studio Code extension—inspired by user feedback and driven by our mission to simplify the dev experience.
With this extension, you can:
Eliminate back-and-forth between your IDE and the AB Tasty web interface.
Leverage VS Code’s power: smart autocomplete, built-in linters, syntax highlighting, real-time validation, and more.
The benefits of VS Code Extension for server-side:
With AB Tasty’s Feature Experimentation and Roll-outs, from the Visual Studio Code Extension you can: ✅ Manage feature flags and product experimentation with a code-first approach ✅ Call key campaign resources (flags, targeting keys, goals) ✅ Detect and create feature flags directly from your codebase
The benefits of VS Code Extension for client-side:
With AB Tasty’s Web Experimentation and Personalization, from the Visual Studio Code Extension you can: ✅ Manage product experimentation with a code-first approach ✅ List and access segments, triggers, and favorite-URLs linked to your account ✅ List and access campaigns (variations, targeting, modifications) ✅ Manage JS scripts tied to accounts, campaigns, variations, and modifications
AB Tasty Joins the “Dev-Friendly” Movement
Our vision is clear: AB Tasty should adapt to developers, not the other way around. This extension is just the beginning—we have plenty more enhancements in the pipeline.
Mobile commerce has revolutionized how consumers interact with brands — from browsing products on the go to researching the latest trends. Yet, despite mobile usage soaring, the full potential of mobile commerce remains untapped. While traffic from mobile devices continues to rise, conversion rates still trail behind other channels. What’s driving the gap between browsing and purchasing on mobile?
In this post, we’ll explore key mobile performance stats, delve into the challenges behind these numbers, and showcase how Quantum Metric and AB Tasty collaborate to help brands close this gap. If you want the your own mobile playbook, the insights shared here are based on data from Quantum Metric’s eBook, How Mobile Performance Builds Consumer Confidence.
1. Mobile is everywhere, but conversions lag.
Mobile traffic is not just a trend, it’s the backbone of online shopping. Consumers are increasingly using their phones for everything from discovering products to making final purchase decisions. However, despite this surge in mobile traffic, conversions still don’t match the volume of visits. So, what’s going wrong?
Insight:
Mobile accounts for 73% of monthly traffic, but only 47% of sales.
Travel sees the highest mobile traffic (73%), but the lowest sales share (39%).
Challenge: Consumers love to browse on mobile — reading reviews, comparing prices, and window shopping. But when it comes time to make a purchase, they often shift to desktops or other channels. This disconnect between browsing and buying is a critical challenge.
Solution: Quantum Metric delivers real-time insights to identify where users drop off in their mobile journeys, helping brands pinpoint key friction points. Armed with this data, AB Tasty can run A/B tests and experiments to optimize mobile conversions by improving layouts, simplifying checkout, or personalizing offers based on user behavior.
2. Personalization drives engagement (and sales).
With so much information available at their fingertips, consumers expect personalized experiences that speak to their unique preferences. But while mobile apps can deliver these tailored experiences, it’s not always the case that mobile users receive the level of customization they desire. So, how can brands keep up with the demand for hyper-personalized mobile experiences?
Insight:
39% of consumers prefer mobile apps, but 33% have reduced app usage.
Conversion rates on mobile apps are 3X higher than on mobile web.
Challenge: Consumers are increasingly expecting experiences that are customized to their preferences. Whether it’s personalized product recommendations or location-based offers, users demand content that resonates with them on a deeper level. But how do brands manage to provide this while maintaining convenience and ease of use?
Solution: Quantum Metric provides detailed session data, revealing exactly what users are engaging with and where they’re dropping off. AB Tasty then uses this data to create personalized experiences through hyper-targeted experiments, ensuring that each user sees content that’s most relevant to them — ultimately boosting engagement and driving conversions.
3. Building confidence in mobile transactions.
Even with mobile traffic growing, many consumers are still hesitant to make purchases — especially larger ones — on their phones. Trust is a major factor in whether or not a consumer feels confident enough to complete a mobile transaction. But how can brands overcome the hurdles of security concerns and poor mobile experiences?
Insight:
59% of consumers only feel confident making purchases of $50 or less on mobile.
Desktop AOVs are 70% higher than mobile for retail and nearly 2X higher for travel.
Challenge: Security concerns and clunky mobile experiences can drive away customers before they even hit the checkout button. Many consumers feel more comfortable making purchases on desktops, where they associate higher transaction values with a more secure, familiar environment.
Solution: Quantum Metric identifies friction points — slow load times, security concerns, or error messages — that can erode trust. AB Tasty uses A/B testing and experiments to address these pain points, creating smoother, more secure user flows that enhance trust and improve conversion rates.
4. Performance matters more than ever.
With consumers’ expectations for speed at an all-time high, mobile performance can make or break the user experience. From slow loading times to app crashes, mobile performance issues are a significant barrier to conversions. So how can brands ensure their mobile experiences are fast and seamless?
Insight:
59% of users have experienced slow performance; 43% have faced app crashes.
API error rates are 2-3X higher on mobile than desktop, with issues like long spinner rates causing 48% higher friction.
Challenge: Users have little patience for performance issues. A slow-loading page or app crash can lead to frustration and, ultimately, abandonment. The pressure to deliver fast, smooth mobile experiences is higher than ever.
Solution: Quantum Metric’s real-time data quickly highlights performance issues, from slow page loads to API errors. Once identified, AB Tasty can experiment with various solutions, optimizing mobile performance and delivering a smoother, faster user journey.
5. Turning data into action.
In the fast-paced mobile landscape, time is of the essence. Consumers expect quick, efficient mobile experiences, and if a transaction takes too long, they won’t hesitate to abandon it. So, how can brands ensure they are responding to user behavior in real time?
Insight:
55% of consumers will abandon a mobile transaction if it takes longer than 3-5 minutes.
Challenge: The pressure to scale innovation without losing sight of the customer is real. Mobile transactions need to be fast and seamless, or customers will simply walk away — especially when it comes to on-the-go transactions.
Solution: Quantum Metric empowers brands with real-time behavioral data that shows where and when users drop off during their mobile journey. AB Tasty then helps turn this data into action by running targeted experiments that address specific friction points, reducing abandonment and improving the overall mobile experience.
Conclusion: turning mobile commerce into your competitive edge.
Mobile commerce isn’t just another sales channel — it’s a key competitive advantage. To succeed, brands must focus on delivering fast, personalized, and secure mobile experiences that build consumer trust. By combining Quantum Metric’s real-time behavioral insights with AB Tasty’s experimentation platform, brands can close the gap between browsing and buying, unlocking the true potential of mobile commerce.
The Contentsquare & AB Tasty integration helps you optimize your A/B testing lifecycle, driving high-value outcomes with low-risk scenarios. Let’s dive into how this integration will help you improve your customer experience (CX) and boost your growth metrics.
A side-by-side comparison of 2 webpages using Contentsquare analysis
An overview of the integration
When Contentsquare and AB Tasty are used separately, you only get half the success of your test results. Say you want to test a hero banner. Using AB Tasty, you test 2 versions, and find there’s no improvement to your conversion rate. But, perhaps one of the versions increased customer engagement? Without the help of Contentsquare, you’re limited in your view of how your tests impact your entire customer experience.
Or, let’s say you’ve analyzed your customer journey using Contentsquare and discovered one of your conversion pages has a high drop-off rate. You come up with a hypothesis as to why this might be the case and hard-code a change, but this leads to more drop-offs, not less. Without AB Tasty, you’re unable to test your hypotheses, which results in wasted time, resources, and a potentially worse customer experience.
But, it doesn’t have to be this way. By integrating Contentsquare and AB Tasty, you can dive deeper into your customer experience to pinpoint and prioritize the most critical friction points or opportunities to experiment. You can also build better hypotheses based on key metrics, create and run data-informed tests, and better understand why variations perform well (or not).
With Contentsquare, you gain a more comprehensive understanding of your customer experience, enabling you to conduct more informed, data-driven tests with AB Tasty.
Benefits of the Contentsquare and AB Tasty integration
Where Contentsquare provides deep and meaningful insights into your customer behavior, AB Tasty empowers you to act on those insights, in real time.
“AB Tasty is a technology partner with Contentsquare. We facilitate A/B testing, experimentation, personalization, and audience segmentation. We help facilitate activation of the data that you get out of Contentsquare to fuel that endless cycle of experimentation.”
Mary Kate Cassh, Head of Growth Marketing, North America, AB Tasty
Hyper-personalization features to deliver tailor-made experiences to boost conversion rates
A simplified, streamlined workflow that eliminates data silos by having data accessible across easy-to-understand dashboards
Greater business impact by uncovering hidden opportunities in your customer journey and testing your hypotheses before hard-coding changes
Comprehensive experiment analysis with easy-to-understand visuals and side-by-side comparisons of your control and variation
Continuous improvement to your digital strategy
Want to know the fundamentals of how the Contentsquare and AB Tasty integration works? Learn more.
How Contentsquare can inform your testing in AB Tasty
Let’s look at how this works in practice, using the framework of a continuous testing cycle. There are 5 stages to the continuous testing cycle—here’s how the Contentsquare and AB Tasty integration works to optimize each step along the way:
Stage 1: analysis phase
This first stage involves finding friction points or opportunities at each point of your customer journey. Then, it’s about generating test hypotheses to help solve or optimize the points that need the most attention.
You can break down this stage into 2 forms of analysis.
Innovation analysis, where you work out whether your content is optimized for the best customer experience you can provide
2. Troubleshooting analysis, where you uncover errors or friction points in the customer journey, preventing users from moving forward.
With Contentsquare’s Experience Analytics, you can find out how your customers are behaving page by page, from entry to exit, and why. With a suite of capabilities, you can deep-dive into your customer experience and analyze areas that need the most improvement.
Screenshot of Contentsquare’s Experience Analytics dashboard, open on the Heatmaps capability.
What are the behaviors of customers at critical conversion points?
What’s causing rage clicks or other frustration behaviors?
Where are customers encountering errors?
Rage clicks are when customers click on an element (clickable or not) of a website or app multiple times in frustration or anger. They’re often caused by technical issues, confusing navigation, or a cluttered design.
What’s the most attractive content/category on the page?
What’s leading to the most conversions? Is it visible enough?
In what order do customers consume the page?
Are there any frictions or rage clicks on the page?
Stage 2: analysis resolution
Now you’ve got a few hypotheses to test, it’s time to work out how to prioritize what to test first.
The focus should be on tests with low effort, high reward and those with the biggest impact on your key performance indicators (KPIs). Contentsquare’s Impact Quantification can help you prioritize your tests and make better decisions by assessing the impact of each test. All you need to do is clarify your goal and then segment users based on whether they completed the goal of your A/B test.
Contentsquare’s Impact Quantification in action.
Impact Quantification can then be used to compare these segments and confirm how much revenue the success of the test will likely generate.
Stage 3; experimentation roadmap
Once you’ve established which hypotheses have the greatest potential to impact your KPIs, it’s time to start fleshing out your testing roadmap.
This roadmap will help guide every step of your testing process—from the build to the design and copy and finally, the execution. This roadmap is where you detail who’s doing what and when, giving you an overview of your site. This is especially useful if you’re running tests on multiple pages.
The dos and don’ts of your testing roadmap
Do’s
✅ Run your tests in at least 2-week increments to account for site traffic cycles and seasonality.
✅ Color-code your roadmap for the different stages of your experimentation so it’s easy to quickly see where each test is at.
Don’t
❌ Have 2 tests running on 2 pages at the same time—it can muddy the data and lead you to potentially misread your results.
❌ Don’t run multiple tests on the same page independently—use multivariate tests to see how changes to multiple sections interact with one another.
Stage 4: start A/B testing
All that hard work has finally paid off—it’s time to put your hypotheses into action and start running tests with AB Tasty.
Using your roadmap as a guide, start building out your tests in AB Tasty to optimize, personalize, and improve your customer experience.
Stage 5: analysis and results
Get site statistics directly through AB Tasty and couple that with Contentsquare’s customer behavioral insights.
From AB Tasty, get direct reports based on page statistics—giving you a snapshot of what’s going on in your campaign testing period.
From Contentsquare, as soon as your test goes live, you can watch how your customers behave in the control and variation, side-by-side using Heatmaps and Session Replay. Get a visual understanding of why and how your customers behave differently in your variation and use these insights to inform your next testing phase.
How the partnership works in real life
Now that you know how the Contentsquare and AB Tasty partnership works, it’s time to see what it’s like in the real world.
Here’s how 2 leading brands have embraced the integration of experience analytics and experimentation into their CX to drive real growth outcomes.
Clarins
Global skincare company Clarins wanted to find out whether a “wishlist” option on their site would help to increase pageviews and conversions.
Using the Contentsquare integration with AB Tasty, they tested adding a heart icon to their product listing pages (PLPs) and product description pages (PDPs). This heart allowed users to save their favorite products to potentially purchase them at a later stage.
This test increased the overall number of transactions and resulted in
+1.54% increase in basket page views
+1.83% increase in transactions
“We are really passionate about continually optimizing what we’re already doing well plus also testing new theories to drive a great customer experience and continue to drive the commercial priorities of our website.”—Roisin O’Brien, Ecommerce Trading Manager at Clarins UK
Rather than focusing on conversion rates, Mel Parekh, Head of ecommerce at Hotel Chocolate and his team wanted to focus on engagement and clickthrough rates.
Recognizing the importance of layout and user experience on customer engagement, the goal was to create a more visually appealing and intuitive homepage.
WithContentsquare’s integration with AB Tasty, his team redesigned the homepage, focusing on the category tiles, which were found to be the most attractive elements on the page.
By optimizing the homepage, they saw a
-10% reduction in bounce rates
+1.67% increase in visiting time
+0.54% increase in overall conversion rates, +7.24% increase on desktop
Mel Parekh, Head of ecommerce at Hotel Chocolate talked about customer loyalty at a recent Contentsquare CX Circle event.
Smarter insights with Contentsquare
Contentsquare is the all-in-one Experience Intelligence platform designed to be easily used by anyone that cares about digital journeys. With our flexible and scalable platform, you quickly get a deep understanding of your customers’ whole online journey.
Our AI-powered insights provide those “ah ha” moments you need to deliver the right experiences. You get to work faster and smarter with the confidence to know what to do next to improve your digital experiences. Leading brands use Contentsquare to grow their business, deliver more customer happiness and move with greater agility in a constantly changing world. Our insights are used to optimize the experience on over 1.3 million websites worldwide. For more information, visit: www.contentsquare.com
Online merchandising is more than just showcasing products; it’s capturing your audience’s attention, keeping them engaged, and guiding them smoothly toward a purchase. Let’s explore the essentials of online merchandising, breaking down actionable tips and strategies to elevate your e-commerce storefront.
What is Online Merchandising?
Online merchandising is the art of strategically organizing, showcasing, and promoting products on your e-commerce site to maximize engagement and conversions. Think of it as combining the precision of data analytics with the creativity of visual storytelling. Whether it’s through well-optimized product pages, eye-catching images, or personalized recommendations, the goal is the same: making shopping intuitive and enjoyable.
The Rise of Mobile-First Merchandising
Mobile is king in e-commerce. Have you ever noticed that smartphones seem to be glued to our hands? You’re not alone. According to Statista, over 54% of global website traffic now comes from mobile devices. For e-commerce, this means a mobile-first approach is non-negotiable.
How to master mobile merchandising:
Responsive Design: Online shopping is no longer linear. You have to ensure that your site is responsive across devices for a smoother shopping experience. This means making sure your design is responsive on desktop, mobile, and tablets.
More speed = more spending: According to Deloitte, a mere 0.1s change in loading time can improve the customer journey and improve conversion rates. It’s time to start minimizing code, optimizing images, and reducing redirects to speed up your mobile performance.
Streamlined Filters: Simplify searches with easy-to-use filters that don’t feel overwhelming on a smaller screen.
Mobile-Friendly CTAsand Buttons: On desktops, consumers click. On mobile, visitors tap with their fingers. A CTA (or any button) that’s too small can lead visitors to click on the wrong icon and derail their user journey. The CTA should be an optimal size (around 44×44 pixels) to avoid frustration.
Make your words worth it: With the constraints of a smaller screen, you may need to adapt your copy. Something as simple as changing your CTA button from “Contact Customer Service” to “Contact Us” can have a big impact.
Pro Tip: Dive further into mobile-first merchandising with our Smartphone Survival Guide to see how mobile impacts consumer behavior and how you can optimize your user experience to boost conversions.
Merchandising During Sales Periods
Sales periods like Black Friday, Cyber Monday, Singles Day, Valentine’s Day, or other seasonal events are more than just discounts galore – they’re an opportunity to drive traffic to your website, clear inventory, and welcome new visitors.
How to maximize impact during sales
Curate Themed Landing Pages: Think “Gifts Under $25” or “Holiday Must-Haves.” Tailored pages simplify the shopping journey and give customers exactly what they’re looking for while saving them time browsing.
Urgency Tactics: Phrases like “Limited Stock” or “24-Hour Sale” pressure visitors to buy quicker by creating a sense of FOMO (fear of missing out).
Bundle Deals: Push more products in your inventory by highlighting bundles. Grouping products into bundles with a “frequently bought together” algorithm increases the average order value while offering perceived savings.
These strategies not only boost sales but also make your customers feel like they’ve struck gold on your website by finding just what they’re looking for.
The Power of Personalized Product Recommendations
Ever added a pair of shoes to your cart and instantly been tempted by a matching belt? That’s cross-selling at work. Personalized recommendations, when done right, are like having a helpful salesperson who’s available 24/7 to help you find what you need. So, how do you implement recommendations?
Implementing Recommendations:
Use AI to Analyze Behavior: With experience optimization platforms like AB Tasty, you can implement personalized recommendations by using their AI-powered recommendation engine to predict and personalize what visitors might like based on past activity.
Offer Related Products: When visitors start browsing different products, you can show complementary items to help your customers have the most complete purchase. Selling skincare? Why not recommend helpful products to help your visitors “complete their nighttime routine.”
Personalize Email Follow-ups: Abandoned carts? Send a friendly nudge with personalized email recommendations to remind your customers what’s waiting in their basket.
Want to see the results of recommendations in action? Check out Alltricks’s success story where they saw a +5% in average order value or Jacadi earning +13% more revenue per user with AB Tasty’s recommendations and merchandising solution.
Optimizing Product Pages for Search Engines
Your product pages are like magnets for customers – if they’re SEO-optimized. According to AB Tasty’s E-commerce Consumer Trends Report, nearly half of online experiences begin with a search engine. By improving your SEO and therefore visibility, you’ll make it easier for shoppers to find you.
Must-Have SEO Features:
Targeted Keywords: The more details – the better. It’s always best to use longer, search-friendly terms like “women’s waterproof hiking boots” rather than generic ones like “boots.”
Enticing Meta Descriptions: In addition to a descriptive title, the meta description is your one opportunity to communicate key information about your product with a short, clickable summary to draw in potential buyers.
Alt text for images: Not only does alt text help you meet accessibility standards, but it also improves your chances of showing up in Google Image results.
Detailed Product Descriptions: write descriptions that are informative and keyword-rich while avoiding keyword stuffing.
Leveraging Customer Reviews and Returns Data
Did you know that the majority of consumers read reviews before buying? In fact, Gen Z considers reviews to be the most important thing to consider before making a purchase (source). Reviews help build trust and provide social proof which helps undecided shoppers feel more confident in their purchases.
Ways to Leverage Reviews:
Spotlight success stories: We all love a zero-to-hero story! Highlight top-rated reviews directly on product pages to give confidence to your potential buyers.
Encourage feedback: Be proactive in building reviews for your e-commerce site by sending a post-purchase email asking for reviews (bonus tip: offer a small discount or loyalty points as an incentive).
Feature photos: Take your reviews a step further by encouraging your buyers to upload user-generated images of your products in real life to help build trust.
Turn returns into opportunities
Returns aren’t the end of the world, they’re learning opportunities. Analyze return trends to identify products, flaws, sizing issues, or misleading descriptions. Then, tweak your strategy accordingly to reduce future returns.
Conclusion:
Online merchandising is where creativity meets strategy. By embracing mobile-first designs, leveraging AI, optimizing for SEO, and personalizing the shopping experience, you can turn casual browsers into loyal customers. In today’s competitive e-commerce world, standing out isn’t optional – it’s essential.
With these best practices, you’re not just selling products, you’re creating an experience worth remembering.
FAQs: Online Merchandising
What is online merchandising, and why is it important?
Online merchandising is the process of strategically presenting products on your website to boost sales and engagement. It’s vital because it directly impacts the customer experience and your bottom line.
2. How does mobile-first design impact online merchandising?
A mobile-friendly site ensures a seamless experience for the majority of shoppers, who browse and buy via smartphones. This boosts conversions and reduces bounce rates.
3. How can I optimize my product pages for better visibility?
Use targeted keywords, detailed descriptions, high-quality images, and SEO-friendly meta tags to improve both search rankings and user engagement.
4. Why are customer reviews crucial for online sales?
Reviews provide social proof, build trust, and influence purchasing decisions. Highlighting reviews can significantly boost conversions.
5. What tools can help with AI-driven merchandising?
Platforms like AB Tasty offer advanced AI features to personalize recommendations and enhance the overall online shopping experience.
In today’s digital landscape, data-driven choices are essential for staying competitive, with experimentation as a critical driver of innovation. To support this, we recently hosted a webinar with experts from Google Cloud and AdSwerve, focusing on how Google Analytics 4 (GA4) and BigQuery can enhance experimentation strategies. GA4 is essential for all marketing teams, providing advanced analytics that, when combined with BigQuery’s data consolidation capabilities, enables more effective testing, personalization, and digital optimization.
Meet the panel
Taige Eoff, Cloud Data AI Lead at Google, has been at Google for twelve years, leading data and AI initiatives for cloud marketing. Taige focuses on developing scalable solutions that support partners like AB Tasty and AdSwerve in optimizing digital experiences.
Alex Smolin, Senior Optimization Manager at AdSwerve, brings extensive experience in media, data, and technology. As a certified Google Premium Partner, AdSwerve provides data-driven brands with solutions ranging from A/B testing to advanced analytics.
Mary Kate, our roundtable host and Head of Growth Marketing for North America at AB Tasty, leads efforts to help companies create impactful digital experiences through AB Tasty’s suite of experimentation, personalization, product recommendations, and site search tools.
AB Tasty’s integration with GA4 & BigQuery
Connecting AB Tasty with GA4 gives marketing teams insights into visitor behavior through advanced analytics on CPA, conversion rate, bounce rate, SEO, and traffic. This integration allows teams to use data from either tool to measure the impact of experiments pre- and post-rollout, generating data-backed hypotheses and fostering innovation.
Google BigQuery, a fully managed cloud data warehouse solution, offers rapid data storage and analysis at scale. With its serverless, cost-effective structure, BigQuery allows businesses to analyze large datasets efficiently, making it easier to make well-informed decisions.
With Google BigQuery, users can effortlessly execute complex analytical SQL queries and leverage built-in machine-learning capabilities.
Why is data from GA4 foundational to any CRO program?
In experimentation, data is the catalyst that drives actionable insights. Data flows in from multiple sources, and businesses generate detailed reports by working with partners to integrate tracking and tagging. But the question then becomes: what comes next? That’s where experimentation enters. Using data from tools like GA4, teams can transform hypotheses into tests, uncovering which changes impact user engagement or conversions most effectively.
GA4’s role extends further by providing a consistent framework for testing across platforms. When integrated with BigQuery, GA4 allows teams to cross-reference test outcomes with other data points, revealing not just what worked but why it worked. As Alex noted, “We gather good data, run good tests, and then verify results across disparate sources like BigQuery to see if what we tested had the expected downstream impact.”
Data accessibility and agility are also important. Trends evolve quickly, with viral content or market shifts requiring rapid adaptability. “Having partners like Google, with all data in one place, and a platform like AB Tasty, where experiments can be quickly set up, is essential for staying competitive” Alex emphasized.
“Having partners like Google, with all data in one place, and a platform like AB Tasty, where experiments can be quickly set up, is essential for staying competitive.”
Alex Smolin, Senior Manager Optimization at Adswerve
How BigQuery powers scalable experimentation
With the growing volume of data, businesses need a way to consolidate and interpret it to drive impactful decisions. BigQuery, as Taige explained, is a robust cloud warehouse that streamlines data for meaningful insights, making it a key player in the experimentation ecosystem.
“Think of BigQuery as a filing cabinet for your organized data,” Taige noted. By consolidating disparate data sources, teams can create a unified view that informs testing and optimization efforts. Through this approach, tools like GA4 and BigQuery enable accurate decision-making that scales with the business. With BigQuery as the backbone, AB Tasty and AdSwerve can build on this structure to optimize user experiences through precise experimentation.
Beyond just data storage, BigQuery integrates with various Google Cloud tools and supports a wide range of use cases—from standard reporting to advanced machine learning. For marketers, this means fewer technical bottlenecks and quicker access to the data needed to stay agile. As Taige explained, “You may not need deep technical skills to access BigQuery’s benefits; the right partnerships and data structure can give you a powerful, accessible foundation.”
Leveraging BigQuery’s built-in AI and machine learning models
BigQuery offers an array of AI models for specific use cases—from translation and personalization to customer segmentation. These models add value by automating processes, such as localization or customer behavior prediction, allowing for smoother, more targeted marketing.
BigQuery’s flexibility means that companies can incorporate custom or third-party models, ensuring compatibility with a variety of AI solutions. This adaptability helps organizations innovate and iterate on experimentation programs, expanding what they can achieve with data.
Simplifying data access for marketing efficiency
For marketing teams, BigQuery’s role as a centralized data hub allows seamless data consolidation from platforms like Google Ads, Salesforce, and GA4. This integration ensures that marketers aren’t slowed down by fragmented data sources, freeing them to focus on insights and execution. As Taige highlighted, “The peace of mind that BigQuery provides comes from knowing that all data is consolidated and accessible, allowing teams to be nimble and creative.”
With BigQuery, marketers can view performance metrics, analyze customer journeys, and refine strategies—all within a unified environment. This lets teams optimize campaigns in real time as new data insights emerge.
Next-Generation capabilities enabled by Google Cloud
Looking ahead, digital is paving the way for more advanced experimentation capabilities. The conversation shifts to AI and machine learning, bringing new opportunities for personalization and optimization. As Mary Kate pointed out, while AI-driven insights can revolutionize customer experiences, many brands are still years away from realizing the full potential of these tools.
True value will come not from adopting every new tool but from understanding the foundational data supporting AI and asking the right questions about how these technologies can serve customer needs. Taige added, “If you don’t have a data strategy, you won’t have an AI strategy.” While AI amplifies data power, it requires organized, high-quality data to work effectively.
By consolidating and centralizing data through BigQuery, teams gain real-time insights and can make informed decisions. This data foundation enables the current wave of omnichannel strategies and sets the stage for future AI applications. Businesses that adopt this holistic approach—consolidating data, optimizing channels, and preparing teams for AI—will unlock new experimentation opportunities and drive impactful customer experiences.
With GA4 and BigQuery, businesses have the tools to streamline data consolidation and power next-generation experimentation. Ready to join your data and experimentation? Discover how AB Tasty can help bring data-driven optimization to life.
In the vast and competitive world of e-commerce, simply having great products isn’t enough. Your online store is like a stage, and how you present your products can make or break the show. Enter e-merchandising—the art and science of guiding your customers through a shopping journey that’s as smooth as silk and as engaging as a blockbuster movie.
Whether you’re looking to captivate first-time visitors or inspire returning customers, the right merchandising strategies can transform your site from a digital storefront into an experience that keeps customers coming back for more.
Ready to dive in? Here are five e-commerce merchandising strategies, with real-world examples, to help you create a shopping experience that truly shines.
1. Branding and Homepage Messaging: Your Digital First Impression
“Don’t judge a book by its cover” is a great mantra to apply to our personal lives, however, this proverb doesn’t apply to the e-commerce world.
Your homepage is more than just a landing page—it’s the welcome mat to your online store, and it needs to speak volumes. From the moment someone lands on your site, they should know who you are, what you stand for, and how you can make their life better.
Why it matters:
First impressions count. A compelling homepage can turn curious browsers into engaged shoppers.
Returning visitors want to see something fresh and relevant, not the same old same old.
Pro tips:
Tell your story boldly: Your brand story should be front and center. Use a powerful tagline or headline that captures your essence.
Test, test, test: Use A/B testing to find out what messaging resonates most with your audience.
Show, don’t tell: Include social proof like testimonials and customer reviews to build instant credibility.
Real-world example: Homepage
JOTT, a French clothing retailer, noticed that their homepage was experiencing a higher bounce rate than expected. Realizing that first impressions were crucial, they ran a no-code A/B test using AB Tasty’s experience platform to see if rearranging the homepage layout would improve engagement.
By moving product categories to the above-the-fold section and pushing individual product displays lower down, they achieved a 17.5% increase in clicks on the product category blocks. This optimization reduced bounce rates and guided more users deeper into their shopping journey, enhancing overall engagement.
2. Group Merchandise into Collections: Curate Like a Pro
Ever walked into a store and felt overwhelmed by choice? The same thing can happen online. Grouping your products into well-thought-out collections can turn chaos into clarity, making it easier for customers to find what they’re looking for—and maybe even discover something they didn’t know they needed.
Why it matters:
Curated collections simplify the shopping experience, helping customers quickly find what they’re after.
They also encourage customers to explore more, potentially increasing their basket size.
Pro tips:
Get creative with collections: Don’t just stick to the basics. Think outside the box—consider seasonal themes, trending items, or even influencer picks.
Use data wisely: Analyze purchase patterns to create collections that reflect what customers are actually buying.
Spotlight special collections: Use banners or pop-ups to draw attention to limited-time offers or new arrivals.
Real-world example: Collections
Balibaris, a leading French men’s fashion brand, revamped its e-commerce strategy by intelligently reorganizing its product displays to better match customer preferences and behavior. By dynamically sorting products and emphasizing best-sellers and seasonal items, Balibaris saw a significant increase in conversion rates compared to the previous year, even without special promotions. This strategic move not only enhanced the online shopping experience but also boosted overall sales while freeing up the digital team to focus on more impactful projects.
3. Showcase Products with Visual Merchandising: Let Your Images Do the Talking
In the world of e-commerce, a picture is worth a thousand clicks. Visual merchandising isn’t just about slapping up a few product photos; it’s about creating an emotional connection that makes customers want to reach through the screen and grab that item. High-quality images, videos, and even virtual try-ons can bring your products to life and help customers see how they’ll fit into their lives.
Why it matters:
Stunning visuals can make or break a sale. They help customers imagine the product in their own lives.
Lifestyle images and videos build an emotional connection, making customers more likely to hit “Add to Cart.”
Pro tips:
Go high-def: Invest in top-notch photography that shows your products from every angle.
Tell a story: Use lifestyle images or videos to show how your products can be used in real life.
Mix it up: Consider adding videos or 360-degree views to give customers a more immersive experience.
Real-world example: Visual Merchandising
Galeries Lafayette, one of France’s most iconic department stores, sought to enhance the online shopping experience by testing the impact of different product image styles. They compared standard packshot images to premium images featuring models wearing the products.
The results were striking: the premium images not only increased clicks by 49% but also boosted the average order value (AOV) by €5.76, adding a potential €114,000 in profit. This shift towards higher-quality visuals resonated with customers, leading Galeries Lafayette to prioritize premium images across their site, significantly improving user engagement and sales.
4. Implement Effective Site Search: Help Shoppers Find Their Perfect Match
When a customer knows what they want, nothing should stand in their way—especially not a clunky search function. A well-oiled site search is like a personal shopper, helping customers find exactly what they’re looking for, faster.
Why it matters:
Customers who use search are often more ready to buy, so it’s crucial that they find what they’re looking for quickly and easily.
An effective search can turn casual browsers into buyers by surfacing relevant products.
Pro tips:
Optimize filters & facets: Let customers narrow down their search results with relevant filters like size, color, and price.
Smart error detection: Make sure your search can handle typos and synonyms—because we all make mistakes.
Autocomplete magic: Help customers out by suggesting popular search terms as they type.
Never show a dead end: Avoid zero-results pages by offering suggestions or related products instead.
Real-world example: Site Search
VAN GRAAF, an international fashion retailer, recognized the need to elevate their online search functionality to meet the high standards of their physical stores. By integrating AB Tasty, VAN GRAAF significantly improved the customer journey on their e-commerce site. The results were impressive: online orders from search increased by 30%, conversion rates rose by 16%, and the average order value (AOV) saw a 5% boost. Additionally, the share of sales from search grew by 4.3%. This transformation not only enhanced the shopping experience but also reduced the time the team spent managing search functionalities, allowing them to focus on other critical optimizations.
5. Cross-Sell and Up-Sell Products in Your Shopping Cart: The Power of Suggestion
You’ve done the hard work of getting a product into a customer’s cart—now’s your chance to suggest a few more. Cross-selling and up-selling are subtle yet powerful ways to increase the value of each sale by offering customers items that complement what they’ve already chosen.
Why it matters:
Personalized recommendations can boost your average order value and make customers feel like you really “get” them.
It’s a win-win—customers discover more great products, and you see a bump in sales.
Pro tips:
Personalize everything: Use AI to suggest products based on what’s already in the cart or what similar customers have bought.
Bundle it up: Show products that are frequently bought together as a bundle to encourage more sales.
Test placement: Experiment with where you place these suggestions—product pages, the shopping cart, or even during checkout.
Real-world example: Cross-sell and Up-sell
Figaret, a high-end French shirtmaker, significantly boosted its online sales by integrating personalized product recommendations. By strategically placing recommendation blocks on product pages and in the shopping cart, Figaret achieved remarkable results: 6% of visitors used these recommendations, contributing to 10% of the site’s total revenue. Additionally, these users spent on average 1.8 times more than those who didn’t engage with the recommendations. This approach not only enhanced customer engagement but also drove substantial revenue growth.
Measuring Success in E-merchandising: Are You Hitting the Mark?
You’ve put in the work, but how do you know if your e-merchandising strategies are actually working? Measuring success isn’t just about looking at sales numbers; it’s about understanding how each element of your strategy contributes to the bigger picture.
Key Metrics to Watch:
Website traffic: Keep an eye on where your visitors are coming from and what they’re doing on your site.
Conversion rate: This is the percentage of visitors who actually make a purchase—one of your most important metrics.
Sales data: Analyze overall sales, average order value, and revenue from specific merchandising strategies.
Average basket size: Track how many items customers are purchasing per transaction to gauge the effectiveness of your cross-selling and up-selling efforts.
Pro tips:
Set benchmarks: Compare your metrics against industry standards to see where you stand.
Use analytics tools: Platforms like Google Analytics or Matomo can give you insights into how visitors interact with your site.
Keep iterating: Don’t settle for good—strive for better. Regularly review your data and tweak your strategies to keep improving.
Conclusion: Trial and Better—The Heart of E-Merchandising Strategies
E-commerce merchandising isn’t a “set it and forget it” task—it’s a continuous journey of trial, error, and improvement. The best strategies evolve over time as you learn more about your customers and the market. So don’t be afraid to experiment, take risks, and, most importantly, keep pushing for better. Every tweak, test, and change you make is a step towards creating an online store that not only meets but exceeds customer expectations.
Ready to take your e-commerce merchandising to the next level? Download our comprehensive guide on e-merchandising best practices or schedule a free demo with AB Tasty today. Your journey to better starts now.
Hello! I’m Léo, Product Manager at AB Tasty. I’m in charge of AB Tasty’s JavaScript tag that is currently running on thousands of websites around the world. As you can guess, my roadmap is full of topics around data collection, privacy, and… performance.
It’s why I’m so excited to give an update on our performance, and how we’ve worked hard to be the best. We’re now providing loading times up to 4 faster than other solutions on the market.
In a world where every second counts, slow-loading pages are the fast track to lost revenue. At AB Tasty, we know that speed isn’t just about convenience; it’s about delivering the smooth, reliable experience that today’s consumers expect.
That’s why we’re thrilled to be recognized by ThirdPartyWeb.today for having one of the lowest impacts on web performance among top experimentation and personalization platforms. This acknowledgment affirms our commitment to speed, scalability, and brand satisfaction.
But what does this actually mean for brands using AB Tasty?
Let’s dive into how prioritizing performance can improve your SERP rankings, customer experience (CX), and overall campaign effectiveness.
Why Web Performance Impacts Your Bottom Line
Imagine clicking on a page that seems to take forever to load. Chances are, you’d be out of there faster than you could say “conversion rate.” And you wouldn’t be alone: slow page load times can lead to increased bounce rates, missed opportunities, and, ultimately, frustrated visitors.
Good performance translates into smoother customer journeys, which leads to better engagement and, most importantly, higher conversion rates.
ThirdPartyWeb.today: The Performance Benchmark
ThirdPartyWeb.today is an independent performance data visualization initiative that analyzes the impact of various platforms on page speed. It ranks tools according to their performance cost, drawing data from nearly 4 million websites to create an unbiased performance benchmark. For brands aiming to deliver a seamless experience without sacrificing speed, ThirdPartyWeb.today provides a reliable guide for evaluating the performance impact of their tools.
Being recognized as one of the most performance-friendly Experience Optimization platforms by ThirdPartyWeb.today means our clients know they’re partnering with a technology designed with speed in mind.
What Makes AB Tasty the Fastest?
Our tech teams have worked tirelessly to make AB Tasty not only an intuitive experimentation and personalization platform, but one that prioritizes high performance. Here’s a quick look at the innovations that make AB Tasty so fast and reliable:
Modular Architecture with Innovative Dynamic Importing and Smart Caching Technology Our platform is built with a modular architecture, where only essential code is loaded for each campaign. This keeps file sizes lean, reducing load time and resource consumption.Our proprietary smart caching technology ensures that visitors only need to load the data they haven’t accessed before. By minimizing redundant data calls, we significantly reduce load times across all devices. We also provide worldwide API endpoints and have a global CDN presence with multiple Edge locations and regional Edge caches for fast response times no matter where you and your site visitors are.
Performance Center AB Tasty’s dedicated Performance Center allows you to monitor your campaign performance in real-time. This tool gives you full transparency into what’s happening behind the scenes, so you can make adjustments as needed to keep things running smoothly. It provides recommendations to help you monitor and improve tag weight. Learn all about it here.
Single-Page Application (SPA) Compatibility AB Tasty’s platform is SPA-compatible without requiring custom code, making it easier for developers to integrate AB Tasty into their tech stack. AB Tasty is running on a native Vanilla TypeScript framework. Our tag is compatible with modern JS frameworks, including React, Angular, Vue, Meteor or Ember. The tag is unique for all environments and doesn’t require any additional implementation. Many of our customers have left their previous provider due to challenges with SPA pages. In these tools, changes are often not “sticky” or flicker when there is a dynamic content load. SPA tests in these environments often require custom code for each test, which makes testing more complicated and less user-friendly.
Flicker-Free Experiences AB Tasty’s tag uses a blended approach of both synchronous and asynchronous scripts to eliminate flicker, while maintaining optimised performance. Other solutions will prescribe “anti-flicker” snippets to eliminate flicker, which is not a recommended practice. It means hiding the body’s content while the tag loads, which ultimately delays the rendering of the site. This causes a worse user experience, increases your Largest Contentful Paint (LCP) metric, and may ultimately lead to increased bounce rates and decreased conversions. In contrast, AB Tasty’s synchronous tag uses 3kb of render-blocking to allow the tag to execute quickly before the page loads, as opposed to blocking the visibility of the page for the full package size.
And that translates to…
First loading time < 100ms Caching loading time < 10ms Execution time < 500 milliseconds Minimal Lighthouse Core Web Vitals impact
Cheers to Our Product and Tech Teams
This wouldn’t be possible without the dedication of our Product and Tech teams (thanks team!). We’ve dared to innovate, pushing the limits of what’s possible with web performance in the experimentation and personalization space.
The Bottom Line
When brands choose AB Tasty, they’re choosing a platform that prioritizes both innovation and performance. By minimizing impact on web performance, we’re helping brands deliver faster, better experiences that delight customers and drive results.
Curious to learn more about? Contact us today to discover what else sets us apart.