Launching a continuous A/B testing program
CRO & Experimentation Program
Turn your visits into measurable growth
- AB Tasty
- Kameleoon
- Dynamic Yield
- and 3 other tools
EXPERIMENTATION · A/B TESTING · CRO
Experimentation is not a collection of tests: it's a discipline. Without statistical rigor, a test provides no certainty, only an illusion of proof. We support you in structuring a robust approach by providing the method and data expertise needed to secure your decisions and accelerate your growth.
Your challenges
Maturity diagnostic
Where do you stand?
The « CRO & Expérimentation » diagnostic maps your position pillar by pillar, with your areas for improvement.
A preview of your result
Our offers
Launching a continuous A/B testing program
Turn your visits into measurable growth
Identify what's holding back your conversions
Find what's holding back your conversions
Delegate the development of your A/B tests
Multiply your tests in production
Make your listing pages sell
Make your list pages sell, proven by the test
Make your teams self-sufficient in CRO
Gain autonomy in CRO
Quantify the ROI of your CRO program
Quantify the real value of your CRO
Understand your journeys through user testing
Understand why your users drop off
Let's discuss your project
A need spanning several offers? We'll scope the right setup with you.
WHAT IS EXPERIMENTATION?
Experimentation is an essential lever for accelerating the product discovery process by enabling quick validation of key hypotheses.
Whether A/B tests, user tests or prototypes, these approaches offer a direct way to test your ideas under real conditions and get concrete feedback from the earliest stages.
This allows product teams to focus their efforts on solutions that truly meet user needs, while avoiding unnecessary investments.
Well-scoped tests, launched at the right pace.
Rigor before volume
AI multiplies testing: hypothesis, KPI and power are set before coding.
The expert decides, AI agents execute
They score hypotheses, code the variants and monitor every test.
A data-driven, conversion-focused approach
We track the learning rate: the share of tests that lead to a reliable decision.
Why experiment
Data analysis, user testing and benchmarking identify where your visitors drop off, and why. A/B testing then proves which version improves their journey, step by step.
Benefits
Validate your hypotheses using experimentation methods & improve your performance.
By comparing your current journeys with direct user feedback to identify their real friction points.
By rapidly iterating on your hypotheses using interactive prototypes before committing a single line of code.
By measuring the real economic impact of each new feature through A/B testing on a fraction of traffic before full-scale deployment.
CRO maturity diagnostic
Walk away with a clear view of your maturity: rate your agreement with concrete statements, Welyft calculates your profile pillar by pillar.
A preview of your result
62/100
Example profile. Rate the first statement: the Stratégie & Culture pillar takes your score.
Pillar 1 of 5 · Stratégie & Culture
L’expérimentation a des objectifs chiffrés, suivis par la direction.
Your level of agreement, from 0 to 10.
Hover over a score: the web adjusts.Tap a score to start the diagnosis.
Articles from our experts related to this pillar.
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Recently, Google highlighted AB Tasty as a potential alternative for your A/B testing platform.
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An experimentation program is not just a succession of A/B tests launched in the hope that an uplift will appear.
A CRO maturity audit assesses an organization's ability to optimize its performance through method
Our expertise
You are browsing the pillar Experimentation. It works with five other areas of expertise, to be combined according to your maturity and priorities.
Create a frictionless, conversion-oriented experience.
Proactively serve the right content to the right person at the right time to create a unique experience.
Turn your data into a lever for decision-making and activation.
Turn your teams into conversion engines, augmented by AI.
Deploy AI agents, make your catalog readable by AIs and convert the traffic they send you.
Maturity diagnostic
In ten minutes, map your organization pillar by pillar and identify the first levers to activate.
FAQ
The number of tests matters less than the statistical rigor of each one. We size the duration and traffic volume required before launch so that every test produces proof, not an illusion of proof.
The two are complementary: user testing explains why your visitors drop off, A/B testing measures the real impact of a solution. Combined, they speed up product discovery and strengthen your decisions.
No. We provide the method and data expertise at the start, then gradually transfer our practices to your teams. The goal is for experimentation to become an established discipline within your organization.
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