Devred Turns E-commerce Site Into a Strategic Growth Lever Thanks to AB Tasty
35%Weight in revenue
10%Utilization rate
Devred’s Digital Success Strategy:
Recommendations, Merchandising, and Web Experimentationwith AB Tasty
Devred, the iconic men’s ready-to-wear brand, has risen to a major challenge: transforming its e-commerce site into a remove genuine driver of strategic growth.
With 300 physical shops and a well-established in-store identity, Devred has embarked on an ambitious drive to conquer digital experiences, attract younger customers, and boost its online performance.
The company chose AB Tasty to implement a comprehensive solution combining recommendations and merchandising as well as web experimentation in order to, reinvent the online customer experience and maximize its digital impact.
Download our case study to see how Devred achieved significant online sales growth by harnessing improved personalization and strategic merchandising, boosting the digital channel’s contribution to overall sales.
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How GANNI Styles Brand Identity Through Experimentation
Introduction: who is GANNI?
GANNI is a Danish contemporary luxury fashion brand renowned for its ready-to-wear collections, including clothing, shoes, and accessories.
Founded in 2000 and known for its effortless Scandi-cool aesthetic, the brand has evolved into a global name, offering a fresh and vibrant take on modern women’s fashion. With a focus on responsible practices, GANNI is committed to positively impacting the planet, aligning with sustainability initiatives such as using organic and recycled materials. Ganni sells its collections online to customers worldwide, including Europe, North America, Asia, and Australia, making its mark in over 40 countries.
At the heart of GANNI’s business is a community focused on changing a broken fashion system. Led by Ditte and Nicolaj Reffstrup, the brand uses responsible practices as a force of positive change for style, people, and planet.
GANNI has been creating bold, expressive, and responsibly-minded products for radical optimists everywhere. More than just a fashion brand, Thay embrace innovation for responsible progress, integrating creative approaches into every aspect of its business, from products to brand identity.
What does experimentation bring to GANNI?
Identifying itself as a ‘progressive luxury’ brand, experimentation plays a crucial role in how GANNIi’s market position, being customer-centric and defining their brand identity.
While they benchmark and look at other luxury brands, they use experimentation to make better decisions on their brand. It allows them to understand how users behave online, how they engage, how they interact and how they see GANNI. Monika Tamics, Director of Digital Product, explains “We are looking for what customers are struggling with. We identify these, come up with a solution, test it and enhance the online shopping experience by making it easier to find and purchase products, and provide a smoother, more enjoyable shopping journey for greater satisfaction.”
They use AB Tasty to power their experimentation program, successfully running tests that consistently boost conversions and AOV, improve site functionality, and make decisions based on data. By iterating on key features like search, checkout, and more, GANNI continues to improve their site.
Monika goes on to say: “AB Tasty is a platform where there are no limitations, it’s very user friendly, and anyone at any time can go in to look at the data and provide a better user experience for our customers.”
“AB Tasty is a platform where there are no limitations, it’s very user friendly, and anyone at any time can go in to look at the data and provide a better user experience for our customers.”
Monika Tamics, Ganni Director of Digital Product
Driving brand identity through continuous experimentation
GANNI prioritizes the customer in their testing process by identifying pain points in the user journey and implementing solutions to enhance the online experience. To ensure these tests are effective from a business perspective, GANNI’s team evaluates the entire customer funnel, from the initial interaction to the final checkout. This comprehensive approach has revealed key insights.
By focusing on these incremental changes, GANNI’s experimentation strategy not only improves site performance, but also deepens customer engagement, encouraging browsing and product discovery. With AB Tasty empowering them to scale their experimentation program, Ganni is able to continuously test, learn, and optimize their digital experience. Each change brings deeper insights into their identity, helping to define who Ganni is as a brand.
Testing and learning: the search bar
GANNI conducted a large-scale analysis of their website to identify low-hanging opportunities that could make a big impact. One area they quickly observed was the high number of users searching for specific products, a behavior commonly seen across fashion brands. Site search is a powerful tool, often driving higher conversion rates. In fact, studies show users are nearly 40% more likely to convert than those who don’t use it. GANNI’s challenge with their search bar was that it wasn’t prominent enough.
They found that visitors who used their original search function experienced a significant drop in conversion rates. To address this, they focused on making the search bar more visible and user-friendly. They implemented several tests, including adding a border around the search bar, increasing the visibility of the magnifying glass icon, and testing different variations such as a longer search bar with a text hint.
From these simple yet impactful tests, GANNI achieved a 7.5% increase in conversion rates and a massive 21.9% uplift in users engaging with the mobile search function.
Another example of incremental learning, GANNI’s test-and-learn mindset allowed them to experiment with changes that significantly improve their user’s customer journey. By optimizing the search experience, GANNIi made it easier for customers to find products they love, driving higher engagement.
Ganni’s checkout challenge
The checkout process presented another key opportunity for GANNI’s experimentation team. Initially, users were required to enter their email address before accessing the checkout page – a step that caused a drop-off in the funnel. GANNI hypothesized that this barrier led customers to assume guest checkout wasn’t an option, prompting cart abandonment.
Not all tests are winning tests and GANNI’s experimentation on the checkout page is a good example of this. During the first round of tests, designed to clarify the availability of guest checkout, gave inconclusive results. Undeterred by the initial results, GANNI’s experimentation program continued testing.
They refined their approach, focusing on simplifying the checkout flow by combining the email entry and information input into one step. The team’s determination paid off, generating an impressive uplift in conversions.
Although it was frustrating when the first round of tests didn’t deliver the expected results, GANNI’s Senior Digital Project Manager, Anders Skaarup, notes how they “provided some kind of insights toward the overall purchase funnel or discovery funnel for the user.” By testing barriers in the user journey, GANNI not only improved conversion rates but also deepened their understanding of how small changes can have a significant impact on customer behavior and these learnings led to them adding more and more improvements on the checkout page.
Small changes, big impact
The checkout process or search function can make or break a customer’s decision to complete their purchase. GANNI’s experience is a testament to the power of iterative testing. By identifying key drop-off points and continuously refining their approach, the team is able to remove friction points and unlock valuable insights into user behavior. Not only does this improve CRO and minimize potential revenue loss, but AB Tasty also improves the brand’s overall digital experience. GANNI isn’t reliant on gut feelings or abstract concepts when it comes to experimentation – the team tests, learns and makes data-driven decisions that shape their brand identity.
A better site for a better customer experience
GANNI wants to speak to their customer group – and the more they can understand them, the better the user’s digital experience. By fostering collaboration across departments, they ensure that all teams are aligned with customer-centric goals.
As Anders Skaarup, Senior Digital Product Manager states, “This is the way that decisions can be made together – based on data that allows us to become an elevated brand. It also means that we can share insights and help prevent loss – it isn’t simply about gaining more – but being able to capitalize on what is there. At GANNI, we want to speak to our customer group – and the more we can understand them, the better the digital experience.”
“At GANNI, we want to speak to our customer group – and the more we can understand them, the better the digital experience.”
Anders Skaarup, Ganni Senior Digital Product Manager
Brand identity
By continuously testing and learning, they gain real-time insights into customer preferences, allowing them to quickly adapt and deliver a digital experience that resonates deeply with their audience.
With AB Tasty, GANNI may gain insights into what drives revenue and user conversion, enabling faster implementation of new designs, but the real benefit is how it informs who they are as a brand and how this relates to their customers.
This unified approach to experimentation, continuous learning, small iterations and identifying areas to improve helps to build a customer experience that GANNI’s audience love and strengthens their market position.
Whitepages Boosts Subscriptions with AB Tasty’s Feature Experimentation
+23%Conversion Rate Increase
The Whitepages’ company mission is to build trusted connections in today’s digital world. Since 1997, Whitepages has excelled at meeting customers’ needs by providing information designed to help them stay connected, protected, and make informed decisions.
CHALLENGE
The Whitepages’ marketing team set a goal to increase conversion rate and boost memberships for their monthly plan by improving the structure of the pricing page and make it easier for customers to compare the different plans.
TEST IDEA
The layout of the price subscription page was changed so that all three plans were more prominently displayed next to each other in the form of expanded vertical menus to clearly showcase what’s included in each plan.
Dynamic toggles were also placed at the top so users could compare monthly and annual pricing plans while the bottom of the page featured a larger payment tab under the plans instead of next to them.
RESULTS
With the new layout, the team was able to present a simpler and easier navigation for Whitepages customers to seamlessly compare different plans with just the right amount of information they need to make a decision.
As a result, after one week, the team saw a 23% increase in conversion rate and a 31% increase in monthly membership plans.
TAKEAWAYS
Feature experimentation has given the Whitepages team the ability to quickly make adjustments while running a test, target a specific audience, and turn on or off a test or device type. This has given the marketing team greater flexibility and autonomy without relying on engineering sources which resulted in faster workflows.
The test involved more complex and dynamic elements (such as the inclusion of the contact’s record of the current plan to which the user is subscribed). This required each of these elements to interact with the entire IT system, which was only possible through server-side testing. The team plans to continue using server-side experimentation to test pricing pages to drive more conversions for the plan upgrades for current members and new users.
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How Clarins Scaled Their Global E-Commerce Through Agile Experimentation
30Markets worldwide
10Experiences/month
Clarins’ partnership with AB Tasty changed the way their teams work together across 30 markets, turning testing into an agile, collaborative process.
30 Markets Worldwide
10 Experiences/Month
20 Global Projects/Year
The business of Clarins is beauty. And at the heart of their efforts is making women feel comfortable and beautiful at every stage of their lives.
Imagine: Your e-commerce team builds tons of impactful customer experiences, works seamlessly together in an agile environment, and deploys experiments with ease around the world.
This is the reality at Clarins.
The globally-renowned beauty brand was an early adopter of experimentation, using it as a tool to improve user experiences as part of their CRO strategy. Thanks to this investment, Clarins, which operates in over 150 countries and 30 e-commerce markets, has not only turned testing and personalization into a competitive advantage, but also grown local markets through a flourishing culture of experimentation.
For the past decade, the team has championed pairing dynamic digital experiences with offline-quality service. Just ask Stephanie Gaspar and Ryma Ziani, who head up the digital customer experience at Clarins.
“Experimentation has always been part of Clarins’ DNA. Testing new products, formulas, and ideas is part of our culture,” says Stephanie, a 12-year veteran of the organization, who currently manages the digital customer experience team. “The advantage of experimenting is that it helps validate our hypotheses quickly, make faster roadmap decisions, and better leverage user experiences to ‘wow’ our customers.”
Experimentation woven into Clarins’ DNA
Clarins has long been a leader in digital transformation, launching e-shops around the world and ensuring a consistent brand experience online and offline. In recent years, experimentation and data analytics have been the focal point of that transformation, so much that robust practices are now built into day-to-day business operations at Clarins.
What is key for us is leveraging our data to provide personalized, one-to-one service and experiences online. Customers, after all, are at the heart of everything Clarins does.
Stephanie GasparGlobal Digital Director
Knowing exactly which experience is best suited for which customer and in which country is no easy feat — after all, not all personalizations are created equal. This is where the partnership with AB Tasty comes into play, enabling Clarins to quickly identify high-impact growth strategies and avoid low-performing actions through a test-and-learn approach.
The team cites AB Tasty’s experience optimization platform as the game-changer in helping them with easily setting up tests and collecting insights to validate ideas, make data-centric decisions and accelerate time to market.
Ryma, Clarins’ UX project manager who’s been with the brand for more than eight years, is quick to acknowledge the value that AB Tasty’s low-code solution and worldwide customer support coverage has added to the e-commerce and UX teams.
“It gave us the ability to accelerate our rollout at both global and local levels, drive more engagement on our website, and deliver a seamless user experience — without needing to enlist the help of our tech development teams,” she says.
AB Tasty’s platform enables different markets to duplicate experiences and adapt the learnings to a regional context. This knowledge-sharing ethos fosters an exchange of ideas and learning culture, which has also produced a community aspect within the organization.
AB Tasty has changed the way we work together. Today, we have almost 30 markets [onboarded], building a community of users and co-constructing the experimentation roadmap to optimize UX across all our touchpoints.
Ryma ZianiUX Project Manager
Clarins’ center of excellence encourages teams around the world to share and find inspiration from their experiments. That’s how the US team ended up duplicating EMEA’s “Wheel of Fortune” gamification test (left) for their Mother’s Day campaign (right).
A concrete example of both the collaborative, knowledge-sharing aspects and the adaptability of a global approach across local markets is Clarins’ “Wheel of Fortune” experiment, which leveraged gamification during a key promotional selling period.
With the support of the AB Tasty team, Clarins ran a one-day pop-up offer where customers could “spin the wheel” on their website and win a special offer — a free product or a discount coupon. This discount was then automatically applied to the basket. Here, the Clarins team had developed a clever, engaging offer and coupled it with AB Tasty’s solution, enabling them to easily duplicate experiments across markets and drive conversion and revenue.
Originally rolled out across EMEA for Singles Day, this test saw such strong results (585% increase year over year in revenue for Ireland, alone) that the US Clarins team duplicated it for their own high-season period: Mother’s Day. “Literally, we made the decision in a couple of weeks,” says Marine de Valon, senior director of e-commerce and digital transformation for North America.
With AB Tasty’s dashboard, each market has access to all tests and the resulting engagement data. “AB Tasty allowed all the countries to innovate, create, measure and share experiments, which made a significant impact on our overall global e-commerce,” Marine explained.
Four essentials to building a center of excellence
Building a culture of experimentation goes beyond test execution; it requires heavy knowledge transfer, strategic oversight, and the investment of time and resources alongside the right partner to foster the right mindset. Here are the four things you need:
1. Agility: Equipping the team with scalable processes that allow them to act independently, rapidly test hypotheses, make faster decisions, and pivot quickly should a test prove unsuccessful.
2. Toolbox: Collating guidelines, best practices, examples and outcomes of experiments, and customer data will ensure all teams are equipped to deliver engaging and innovative digital experiences across Clarins’ global e-commerce.
3. Marketmaturity: Leverage mature, high-growth markets to scale your business by presenting a wealth of test ideas from which other markets can find inspiration and subsequently build their own experimentation roadmap.
4. Community: Fostering the culture of collective experience and knowledge and understanding what’s worked and what hasn’t worked across markets have undoubtedly been a key to the success of Clarins’ digital experimentation strategy.
Delivering innovative experiences with AB Tasty
Clarins has achieved a lot over the past two years partnering with AB Tasty, adopting a considered approach to guard against overexposure and inconsistent messaging to their consumers.
By focusing first on developing testing and experimentation protocols, Clarins has built a template of experiences and overarching guidelines that ensure authenticity as a brand. The last step in this roadmap — grow the community of engaged users — fosters increased collaboration and synergy across teams. But the work with AB Tasty does not end there.
“We want to deliver more innovative brand experiences to our customers, by bringing more entertainment on our website and leveraging gamification in consumer engagement,” Stephanie shares. “Our goal is to push the experimentation program with AB Tasty one step further, to become even more user-centric in how we leverage our data for that one-to-one approach.”
ABOUT CLARINS
Jacques Courtin launched his namesake company in 1954 in Paris, with a mission to enhance women’s beauty and well-being. Today, Clarins is present in more than 150 countries and 10,000 employees around the world. The French company continues to pursue a long-term vision focused on strong customer relations, continuous innovation, and a commitment to responsible beauty.
DID YOU KNOW?
The team at Clarins are also strong believers of responsible beauty, sourcing only the best ingredients through their love of nature and plants. That’s the story of the Domaine Clarins, which was founded in 2016 in the French Alps to offer a responsible farm-to-jar approach to beauty. The team uses traditional farming techniques and minimal technology to develop the highest quality plant ingredients for consumers.
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OUI.sncf Relies on AB Tasty for Risk-Free Innovation
61%Increase in conversion rate
Fasterinnovation
For Hélène Doré, brand loyalty is her bread and butter.
As a Conversion Rate Optimization Manager at OUI.sncf, her day-to-day consists of thinking up ways to make customer experiences smoother and conversions higher. It’s a job she loves, but it’s not without its challenges. Today’s consumers are fickle and their expectations are exacting; one poor experience on an app or website can create a long-lasting negative feeling, potentially spiralling into poor brand perception, a drop off to a competitor, or bad word of mouth.
“More likely than not, when a customer faces a problem during his/her visit, it creates a bad memory, which may mean the customer doesn’t return. Creating an exceptional, personalized, and fluid customer experience gives a sentiment of recognition to the customer, which will incite him/her to complete a transaction and potentially come back. If we work on creating the most seamless and personalized customer journey, over time, this recognition will transform into loyalty and create stickiness, inciting the customer to come back and therefore form a virtuous relationship with us.”
– Hélène Doré, Conversion Rate Optimization Manager at OUI.sncf
The conversion rate optimization team, along with the product feature teams, at OUI.sncf has plenty of ideas for how to avoid these scenarios and create truly exceptional customer experiences. The question is: which ideas should they implement? Which should they scale? And how can they be sure an idea won’t backfire?
A/B Testing: The way of data, not debates
What Hélène and her manager Sunny Song, Lead CRO, needed was the ability to run data-driven experiments in order to know which of their ideas will perform best (to optimize the customer experience), and to mitigate risk in case the idea goes south. AB Tasty was able to provide this capability!
“When we have a goal to achieve and we have several possible propositions to achieve the same goal, AB Tasty helps us by allowing us to test these propositions. We can then make the best decision by determining which proposition has the greatest impact,” explains Sunny.
One great example is OUI.sncf’s ‘Exploration Assistant’.
Think of the ‘Exploration Assistant’ as an AI-powered travel agent. Based on an in-house algorithm, the Assistant is displayed to visitors with a high enough ‘interest score’, and suggests a trip itinerary for the visitor. The idea sounds great on paper, but would the Exploration Assistant actually make a business impact on bookings?
Using AB Tasty to run a statistically rigorous A/B test, the team determined that conversion rates did significantly increase for those visitors that engaged with the Assistant.
“This test showed extremely positive results: +61% for web responsive and +33% for desktop impact on the conversion rate,” explains Sunny. This particular experiment was important for more than its impact on these KPIs: “This test was a milestone project for Oui.sncf because it was a very technically complex A/B test and was the first test that incorporated AI algorithms. But the work doesn’t stop here. It’s really essential for the teams to continuously iterate on this version of the algorithm, to test and tweak it for better and better results, so that we’re always proposing the most efficient itinerary to our customers. This is how algorithms evolve, and it goes hand in hand with a continuous optimization strategy.”
In other words: targeted, data-driven testing helps validate strategic decisions at key moments, confirming high-level strategy choices and setting future roadmaps.
“Thanks to the Exploration Assistant A/B test and its very impactful results, we will now industrialize this test. This test was very strategic because it was the first which included AI, which plays a key role in OUI.sncf’s strategy.”
– Sunny Song, Lead CRO at OUI.sncf
Another advantage to attaching numbered results to testing ideas? Avoiding circular, time-sapping discussions about whose idea to run with. “By implementing A/B tests and providing concrete results and data to prove the effectiveness of certain ideas, we were able to eliminate the “endless” debates we could have where each person has his own opinion on topics,” concludes Sunny.
For example, low click-through rate data indicated to the team that unfolding travel details on the ticket information page on their app could increase clicks to a key CTA.
This idea could have led to hours of endless debate around the respective value of each of these blocks.
Instead, the team usedFlagship (AB Tasty’s server-side platform) to run an A/B test on the app. This allowed them to quickly validate the winning variation – which happened to be the version B, where the details of the first trip were automatically unfolded. This led to a 2.49% increase in the click-through rate to the CTA “Choose this trip”, as well as 0.28% more arrivals to the basket page.
Flagship: The platform behind the magic
“Our strategy is to offer the most fluid and seamless user experience possible to our clients, the vast majority of whom browse and book on our OUI.sncf mobile app, which has become extremely popular.”
– Ingrid Peiniau Head of Customer Experience at OUI.sncf
Customer experience has become increasingly mobile-first. Alongside buying their groceries, clothing and movie tickets on their smartphones, consumers expect to be able to search, book, or reschedule travel via a user-friendly app. This is especially true for OUI.sncf, where a majority of visits are generated via their mobile app.
This meant that it made sense for OUI.sncf to turn to AB Tasty’s server-side solution, Flagship, for their optimization efforts. It’s the platform they used for tests run on their mobile app, versus their website.
Not only does Flagship enable the kind of experiments OUI.sncf was running on their mobile app, it also allows product teams to release new features with virtually no risk. Why? Teams are able to not only rollout a new feature progressively – that is, not exposing all of their user base at once – but they can also easily rollback that feature if they notice a dip in KPIs.
“We’re particularly interested in Flagship’s progressive rollout capabilities. We want to be done with publication planning dependencies. Progressive rollout lets us stop or fully rollout a test as soon as it reaches statistical significance without having to wait for a new publication of the app. If the chosen KPIs worsen, we can avoid prolonging a sub-optimal experience. On the other hand, if the test is positive, all of our clients can start feeling the benefits immediately.”
From increasing conversion rates on their mobile app to validating high-level strategy and reducing the risk inherent in feature rollouts, Flagship has become a strategic partner for OUI.sncf.
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Generali’s Chatbot Averages 800 Conversations a Day to Streamline Customer Support
800conversions per day
2,400calls avoided
Generali is a global insurance and assets management group that’s been focused on building life-long partnerships with customers since its establishment in 1831.
Situation
No one likes being put on hold—especially when you’re trying to reach customer support with a question related to your livelihood (like insurance or wealth management). So, Generali decided to streamline the entire process.
The goal was to help visitors more readily find the information they needed on Generali’s website and curb calls to customer support (particularly for questions that could more easily be answered online). This way, Generali’s customer support team would have the increased bandwidth needed to help individuals with complex questions.
Generali developed a chatbot that was able to interact with visitors on its site by answering basic questions and highlighting relevant insurance offers. If there was a question the bot couldn’t answer, it would connect users to the appropriate Generali agent directly.
The Generali team had tested various names and avatars for its bot among a small pool of clients before ultimately settling on ‘Leo.’
Then, Generali worked with AB Tasty to integrate Leo into its website and track performance.
Campaign
AB Tasty Technical Solution Engineers were able to write the JavaScript and CSS code needed to trigger Leo on desktop devices. Data was then collected in real-time (in the AB Tasty platform) to track Leo’s engagement rates and highlight how visitors interacted with the chatbot during a 6-month period.
Generali also used AB Tasty’s visual editor to quickly make cosmetic changes to the site and measure the impact of these modifications on Leo’s performance.
Results
Leo was clearly a hit with Generali’s clients. At the end of the campaign, there were 100,000 recorded interactions with Leo on the website and more than 2,400 calls avoided, giving Generali the reassurance they needed to integrate the chatbot on mobile and tablet devices.
These high engagement rates, and reduced customer support wait times, proved Leo’s positive impact on the user experience. This campaign also provided a benchmark for evaluating Leo’s ongoing performance—which is essential for continuous optimization.
Currently, interactions with Leo are averaging 800 conversations a day.
Takeaway Tip
Chatbots have the potential to streamline customer support and enhance user experiences—when implemented strategically. As Generali shows, simply integrating a chatbot into your site isn’t enough. You need to set performance goals, collect analytics and track engagement to understand how visitors use this feature. With AB Tasty, Generali was able to easily modify their interface and collect data on Leo’s performance to know with certainty that it benefited the user experience.
This campaign also points to the ways in which artificial intelligence can increase the efficiency of human operations. Leo wasn’t created to take the place of customer support representatives, but to help them by handling straightforward tasks so team members could focus on more complex, higher-level questions.
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Smooth Sailing With AB Tasty: An Interview With Weekendesk
Weekendesk shares a sneak peek how AB Tasty’s Roll Outs solution allow them achieve faster releases with less risk
Travel website Weekendesk has a simple mission: help hard-working weekend warriors easily find the best deals for their trips. They were also one of the first early adopters of our feature management platform for product teams. Their tech and product teams got a sneak peek of the tool, and got to play around before the official release. Here’s what they thought:
To start off – what got you interested in AB Tasty?
Generally speaking, what are the advantages of using a feature management and product experimentation platform?
Julien Martin, VP of Engineering: A/B testing is essential for any business. But in our case, I was very particular about the kind of tools I wanted to use. With our new front-end application, I decided to block any ‘classic’ (client-side) A/B testing solution – I didn’t want a layer of JavaScript/CSS tag on there, to ensure maximum performance.
We thought about this quite a bit, and after trying our own (pretty limited) in-house system, AB Tasty told us about their Feature Experimentation and Roll Outs functionality. It was the solution to all of our issues – no added JS/CSS layer, and no development outside our repository, which will let us maintain the same high level of quality and performance in any situation.
Alexandre Duarte and Alessandro Pintaudi, Co-Heads of Product: The platform lets us be more autonomous and also mitigates risk thanks to progressive rollouts. We can test new features on specific segments of our user base, and also better integrate user feedback in real-time, set up kill switches, and especially, run experiments.
What were your first impressions of the platform?
Maxime Biloé, Lead Front-End Developer, and Sonia Alliche, Front-End Developer: We think the interface was really clear, everything is very logical and easy to understand, even with the variety of options available in the platform. We were pleasantly surprised at how easy and quick it was to set up a test, from the interface itself to the integration with our application.
Alexandre and Alessandro: The dashboard is easy to use, especially since there are pre-defined use cases – this is a real time-saver. The interface is also very intuitive and easy to get started with the first time around. This is true in terms of configuring the tests, retrieving data and analyzing the reports. Finally, the support we received from AB Tasty allowed us to deploy the tool very quickly, and to launch our first tests in only a few days.
What challenges were you able to tackle thanks to our platform?
Julien: We started with a really simple test, just to get used to the platform. From a technical perspective, the idea was to put the performance of the tool to the test. Just one extra https request to create a better user experience and better processes – this is just perfect.
Alexandre and Alessandro: We want to be quicker and more efficient in our releases, without increasing any risks associated with putting new features live. The platform lets us do this thanks to the different functionalities available in the platform (progressive rollout, A/B testing, feature flagging…), as well as advanced experimentation to optimize our product.
After playing around with the tool, the major takeaway for us is that we need to systematize and speed up how we deploy A/B tests, so that we can better understand the issues our user base faces, and find solutions – all with less risk.
What are the next steps for Weekendesk and AB Tasty?
Julien: We’re going to integrate a new payment service provider (PSP) in our application. The platform lets us deploy a progressive rollout, so we can avoid any messy roll-backs and confirm our theories. We’re organized into squads, who will be working on continuous optimization on a variety of subjects, and therefore running a lot of tests at once.
Alexandre and Alessandro: We’re going to run a series of A/B test campaigns at the same time during the last stages of the purchase funnel. One of our goals here is to simplify the decision to buy something, but also to uncover the factors that lead up to it.
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