STOP GUESSING.
START
PROVING.
You change elements on your pages hoping it will work better? That is gambling, not optimization. A/B testing pits two versions of a page against real traffic and gives you a clear answer: version A or version B. No opinions, no internal debates, no intuition — statistically reliable data that proves what works. Each winning test improves your conversions permanently and cumulatively. It is compound interest applied to your business.
WHY YOUR OPTIMIZATIONS FAIL
Without A/B testing, you are navigating blindly. Here are the mistakes you are probably making.
You make changes based on gut feeling
You change the color of a button because your designer thinks it looks nicer. You rewrite a headline because your director prefers the new version. You redo an entire page without knowing if the old one was really the problem. Every untested change is a gamble — and in most cases, you lose without even knowing it.
Your conversions are stagnating
You have done a redesign, launched new campaigns, changed your offer, but your conversion rate remains desperately stable. You do not know which elements hold your visitors back or which ones push them to act. Without testing, every change is a shot in the dark. Your conversions plateau because you optimize without method.
Internal debates paralyze your decisions
Marketing wants a short headline, sales wants more details, the CEO prefers a different image. Meetings drag on endlessly, opinions clash, and ultimately it is the opinion of the highest-ranking person that wins — not what is best for your conversions. A/B testing puts an end to these debates: it is your visitors who vote.
RIGOROUS A/B TESTING,
NOT GUESSWORK.
Our approach to A/B testing is scientific. Each test is designed with a clear hypothesis, a sufficient sample size and rigorous statistical analysis.
Data-driven hypotheses
Before testing, we analyze your heatmaps, session recordings and conversion funnels. Each test answers a precise hypothesis: if we change X, then Y will improve because Z. No random tests — every experiment is strategically planned to maximize impact.
95% statistical rigor
We never declare a winner too early. Each test reaches a 95% confidence threshold before any conclusion. We calculate the required sample size upfront and wait until the data is sufficient. Your decisions rest on solid proof, not random fluctuations.
Prioritized testing roadmap
We use the ICE framework (Impact, Confidence, Ease) to prioritize your tests. High-impact, low-effort tests go first. You get a clear roadmap with upcoming tests planned, hypotheses to validate and expected gains for each experiment.
Multi-element tests
Beyond simple A/B, we run multivariate tests that test multiple combinations of elements simultaneously. Headline A + Image B + CTA C against other combinations. This advanced approach identifies the optimal combination more quickly than a series of sequential tests.
Tests by segment and device
A change can improve conversions on desktop but degrade them on mobile. We segment results by device, traffic source and audience type. You get a granular view that allows you to optimize the experience for each visitor segment.
Reporting and documented learnings
Each test is documented with the hypothesis, results, analysis and takeaways. You build a knowledge base of what works for your audience. These learnings accelerate future tests and prevent repeating the same mistakes.
FROM DIAGNOSIS TO RESULTS IN 4 STEPS
A scientific method applied to your conversions. Each step is structured to maximize the impact of every test.
Analysis & Hypotheses
We analyze your data: heatmaps, user journeys, conversion funnels. We identify friction points and formulate testable hypotheses ranked by potential impact.
Week 1Variant Design
We create the alternative versions to test: new headline, new CTA, new layout, new form. Each variant is designed to answer the formulated hypothesis.
Week 2Launch & Measure
We launch the test with a 50/50 traffic split. We monitor results in real time and wait to reach statistical significance before any conclusion.
Week 2-4Deploy & Iterate
The winning version is deployed to 100% of traffic. We document the learnings and launch the next test. It is a continuous improvement cycle that advances your conversions month after month.
OngoingTHE DATA DOES NOT LIE
Tests completed
Winning test rate
Average gain per test
Statistical confidence
+34%
Nebulae Motors
Test of the main headline and CTA on the flagship product page. The variant with a benefit-oriented headline outperformed the original by 34% in conversions.
+58%
Zenith Crypto
Registration form test: the version with 3 fields instead of 7 increased sign-ups by 58% without degrading lead quality.
x2.1
Arcane Paris
Series of 8 tests on the booking funnel. Conversions multiplied by 2.1 thanks to the cumulative optimization of each step in the journey.
YOUR QUESTIONS ABOUT A/B TESTING
How much traffic do you need to run an A/B test? expand_more
What is the average duration of an A/B test? expand_more
What can you test with A/B testing? expand_more
How do you know if a test is conclusive? expand_more
What tools do you use for A/B testing? expand_more
Will A/B testing slow down my site? expand_more
READY TO TEST?
Request your free CRO audit. We identify the first tests to launch to boost your conversions quickly.
WE OPERATE IN THESE CITIES
Click on your city to discover our local services.
Sales Funnels Paris
France
location_onSales Funnels Marseille
France
location_onSales Funnels Lyon
France
location_onSales Funnels Bruxelles
Belgium
location_onSales Funnels Montréal
Canada
location_onSales Funnels Cotonou
Benin
location_onSales Funnels Casablanca
Morocco
location_onSales Funnels Dakar
Senegal
location_onSales Funnels Abidjan
Ivory Coast
location_onSales Funnels Tunis
Tunisia