.png)
.png)
.png)
.png)
.png)
.png)
.png)
.png)
.png)
.png)
.png)
.webp)
Test your hypotheses
Without the risk of investing in costly UX and IT projects
Optimize every click
with A/B testing and maximize your conversion rates
Transform your visitors
into loyal customers by testing personalization strategies
.svg)
Boost your performance with an A/B testing agency
Did you know that small changes can have a big impact on your conversions?
That's exactly what A/B testing does, and at Welyft, it's our specialty!
What's an A/B test?
Imagine you have two versions of a web page, button or advertising message:
- Version A: your current design or text
- Version B: a slightly modified version
We test these variations in real-life conditions on your audiences. Then we analyze precisely which one generates the most clicks, purchases or engagement.
A/B testing agencies
Our teams of consultants can help you with all your A/B testing needs
.png){kind=icon}
CRO & Conversion Audit
We analyze all your quantitative data sources, cross-referencing them with our UX expertise, to identify the friction points impacting your users and define an optimization roadmap to correct them.
Optimizing your landing pages
Media landing pages are strategic elements of your digital experience, as they represent both the first point of contact with your future customers and directly influence the ROI of your advertising investments.
.png){kind=icon}
Setting up A/B tests
Our experts will guide you in the design and implementation of your A/B testing campaigns, to validate your hypotheses with your users, while guaranteeing optimal quality and rapid execution.
.svg)
Experimenting to understand users
Our method seeks to understand what motivates or hinders a user in the process of buying or performing a specific action on your website.
Once we've identified your users' friction points, we use AB testing to determine the best solutions for increasing conversions, revenues and profits over the long term.
Understanding
Identify friction points in your routes
Correct
Design optimization hypotheses
Experiment
Validate the impact of our optimizations via A/B tests or user tests
Understanding
Identify friction points in your routes
.webp)
Our customers' success
"The ability of the Welyft teams to understand our businesses, the ecosystem and our challenges, all with a high-performance team organization, has transformed the way we've worked together for several years!"
.svg)
"The ability of the Welyft teams to understand our businesses, the ecosystem and our challenges, all with a high-performance team organization, has transformed the way we've worked together for several years!"
"The ability of the Welyft teams to understand our businesses, the ecosystem and our challenges, all with a high-performance team organization, has transformed the way we've worked together for several years!"
Setting up A/B test campaigns
An A/B test follows a five-step process: hypothesis building, test plan and mock-up validation, test development, implementation and follow-up, thenresults analysis and decision-making.
Building the hypothesis
Every A/B test begins with a clear, measurable hypothesis:
-What problem are we trying to solve? (e.g., "Does a more visible CTA increase the click-through rate?")
-What improvement are we testing? (e.g., changing the color, text, position of a button)
-What KPIs are we measuring? (click-through rate, conversion rate, time spent on page...)
Example:
_"If we[change made], then we'll see an improvement in[main KPI, '] of __%."
Validation of test plan and mock-ups
Before launching the experiment, we validate:
- The test plan, detailing the variants to be tested and the methodology
- The mock-ups, to ensure that the new versions respect the user experience and technical constraints
- The distribution rules, defining how traffic will be distributed between versions A and B
Rigorous validation guarantees that the test will be reliable, usable and in line with business objectives.
Development and integration
Once the mock-ups have been validated, we move on to the technical implementation of the test:
- Development of the variants on the chosen test tool (AB Tasty, Google Optimize, Kameleoon...)
- Integration of tracking scripts and verification of correct operation
-Testing and acceptance to ensure that no bugs will distort the results
This phase ensures that the user experience remains fluid and homogeneous, whatever the variants displayed.
Test launch and follow-up
The test is online! 🚀
We activate the experiment and monitor in real time:
✔ The correct distribution of traffic between versions A and B
✔ The monitoring of the KPIs defined upstream
✔ The absence of bias that could distort the results
Rigorous monitoring enables us to quickly adjust the test if necessary and ensure a reliable and representative experiment.
Analyze results and make decisions
Once the A/B test is complete, we analyze the performance of each variant:
- Which version achieved the best results?
- Are the differences statistically significant?
- Should the winning variant be deployed definitively?
If an improvement is proven, it is put into production across the whole site. If not, a new iteration can be envisaged to deepen the learning process and refine the optimization.
What KPIs can an A/B test influence?
Thanks to A/B testing, we experiment to help you achieve your business objectives.
Conversion rates
Increase the proportion of your users arriving on your sites and carrying out a transaction.
Commitment rate
Increase average length of visit and average number of screens or page views per session.
Bounce rate
Reduce the number of users arriving on your site without any significant interaction.
Customer lifetime value
Increase the duration and frequency of customers' interactions with your brand to maximize their long-term value.
Opt-in rate
Increase the number of users who subscribe or consent to your communications.
How do our A/B tests work?
Our CRO missions prior to A/B testing are structured to maximize the impact of A/B test results. We start with an audit phase to assess your UX strengths and weaknesses. We then identify opportunities for optimization through in-depth analysis of user behavior, customer journeys and current performance.
A CRO audit is a key step in guaranteeing the effectiveness of anA/B testing strategy. It's not just a matter of identifying random areas for improvement, but of structuring tests on solid foundations, based on reliable data and objective analysis.
Kick off & Framing
During this stage, we clarify the method, collect team expectations, identify constraints, understand strategic issues, define objectives and key performance indicators (KPIs), and align the vision of success.
Analytics audit
After scoping, we begin the analytics audit, focusing on your website's quantitative data. The aim is to analyze user paths and understand "how" they interact with your templates. This enables us to identify your key audiences and determine where to focus your efforts.
UX audit
The UX audit aims to understand the "why" of potential friction points identified during the analytics audit. Thanks to a CRO analysis matrix, we can easily identify the elements on your templates that positively or negatively influence conversion.
User testing (Option)
By observing user interactions in real-life situations, we identify obstacles to conversion and validate the hypotheses formulated during analytical and UX audits. This enables us to propose concrete and appropriate improvements.
Prioritizing the roadmap
Based on audit and test data, we identify the initiatives with the greatest potential impact on conversion, taking into account available resources and project constraints.
Activation (A/B testing!)
We implement the A/B tests prioritized by the audit roadmap, in order to test different solutions to the identified hypotheses.
Frequently asked questions
What is A/B Testing?
.svg){kind=icon}
A/B testing is a method of testing different versions of a web page, graphic element or marketing message to determine which performs best. By displaying two variants (A and B) to distinct groups of users, it is possible to analyze behavior and optimize conversions on the basis of real data.
Why use A/B Testing?
A/B Testing enables decisions to be made based on data rather than assumptions. It helps improve conversion rates, optimize user experience and reduce abandonment rates. It is particularly useful after identifying friction points in a user journey.
What elements can be tested?
A/B Testing can be applied to various aspects of a website or application, including:
- Headlines and taglines
- Call-to-action (CTA) buttons
- Layout and design
- Colors and visuals
- Offers and promotional messages
How long should an A/B test last?
The duration of an A/B Test depends on the volume of traffic and the objective being pursued. In general, a test should last between one and two weeks minimum to obtain statistically significant results. It is essential to take into account factors such as seasonality and user behavior before drawing conclusions.
In particular, it helps to spread a culture of hypothesis rather than solution within product teams, by putting user validation at the heart of the reflexion process.
How to analyze the results of an A/B Test?
The analysis is based on comparing the performance of the variants tested, using key indicators such as conversion rate, click-through rate and bounce rate. A test is considered conclusive if one of the versions shows a significant improvement with a high level of statistical confidence.
.png)
.png)
.png)
.png)
