Uplift
The increase in conversions or value generated by a specific action, often measured in A/B tests.
Term used to describe the measurable performance increase (conversions, revenue, engagement, etc.) generated by a specific action, compared to a baseline situation. In an A/B test, the uplift represents the difference in results between the tested variant and the control group, and allows you to assess the real impact of a change on key KPIs.
In CRO (Conversion Rate Optimization), uplift is a central indicator for quantifying the incremental value of an experiment.
Examples:
- If variant B of a button (e.g., different color or wording) generates a conversion rate of 6% compared to 5% for version A, the uplift is +20%.
- If a new version of the cart page increases the average revenue per visitor (RPV) from 10 € to 12 €, the uplift is +2 €, i.e. +20% added value.
- In a test on a personalized recommendation feature, an increase in the click-through rate from 3% to 4.5% represents an uplift of +50%.
Uplift can be expressed as:
- absolute value (e.g., +2 € in RPV),
- relative percentage (e.g., +20% in conversion),
- or estimated monetary value at traffic scale (e.g., +15,000 € / month).
Note: an uplift is only meaningful if accompanied by sufficient statistical confidence, to avoid drawing conclusions based on variations due to chance.
Autres termes : Statistiques
View the full glossary- Frequentist Approach (A/B test)A statistical approach that estimates model parameters based solely on observed data, without using prior information.Statistiques
- Bayesian (A/B test)A statistical approach that uses probability to represent uncertainty about model parameters.Statistiques
- Statistical confidenceLevel of certainty one has in the results of a statistical test.Statistiques
- False NegativesResults that fail to detect an effect that is actually present.Statistiques
- False PositivesResults wrongly indicating that an effect is present when it is not.Statistiques
- Mann-Whitney U TestA non-parametric test used to compare two independent samples to determine whether they come from the same distribution.Statistiques




