DefinitionA/B testing
Multipage A/B test
Optimization technique that involves testing changes across several pages of a website simultaneously.
Experimentation technique in conversion rate optimization (CRO) that involves simultaneously testing variations across several interconnected pages within the same user journey. Unlike a classic A/B test, which evaluates a change on a single isolated page, the multipage test makes it possible to measure the overall impact of a set of changes spread across several key steps, often within a conversion funnel or a complex interaction scenario.
🎯 Objective:
Assess how a series of coordinated changes across several pages influences the overall user experience, as well as final performance indicators (conversion, retention, engagement...).
📌 Common use cases:
- Redesign of a purchase funnel: product page + cart + checkout,
- Improvement of an onboarding flow: series of account creation pages/forms,
- Experimentation on a lead conversion flow: homepage + form + confirmation page,
- Harmonization of a new branding across a set of key pages (header, visuals, editorial tone…).
✅ Advantages:
- Enables a holistic approach to optimization (consistency between pages),
- Avoids "disconnect" effects between an optimized page and a non-aligned page,
- Better reflects the real impact of certain changes on the entire journey,
- Useful for testing strategic concepts or gradual redesigns before a full rollout.
⚠️ Constraints:
- More complex implementation than a simple A/B test (multi-page coordination, consistent versioning),
- More demanding analysis, especially when it comes to isolating the effect of one element if several change at the same time,
- Higher traffic requirement: because the test often involves subsets (e.g., users reaching all the pages in the journey),
- Less suitable if the tested pages have very different objectives.
🧪 CRO best practices:
- Maintain UX/UI consistency across the different pages of the same journey to avoid skewing results,
- Define an overall primary KPI (macro-conversion) and secondary KPIs per page,
- Combine multi-page tests with behavioral analysis (heatmaps, session recordings) to better understand intermediate interactions,
- Use experimentation tools capable of handling multi-page logic: AB Tasty, Optimizely, Dynamic Yield, Kameleoon…
Autres termes : A/B testing
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