CRO Glossary
Multi-Page Funnel Test
An A/B test where the variant changes persist and are measured across multiple sequential pages rather than a single page.
Unlike a single-page test, a multi-page funnel test tracks a visitor's experience across an entire sequence — for example, a product page, cart, and checkout — ensuring the same variant is consistently applied at every step and that conversion is measured at the true end goal, not just an intermediate click. This requires careful state management (usually via cookies, session storage, or server-side flags) so a user assigned to the challenger experience doesn't accidentally see the control on page two.
Teams care about this pattern because optimizing a single page in isolation can create misleading wins: a checkout page redesign might boost click-through to the next step while actually reducing overall completed purchases if it removes information users needed later. Multi-page tests protect against these false positives by tying the analysis to the metric that actually matters, such as completed checkout or signup, rather than a micro-conversion partway through.
A concrete example: a SaaS company tests a redesigned three-step signup flow (plan selection, account details, payment) against the existing flow. Even though step one shows a higher continue rate for the variant, the team waits to see the final activation rate across all three steps before declaring a winner, since an early lift can evaporate or reverse by the final step.
Multi-page tests are more technically demanding to implement and QA than single-page tests, since flicker, broken persistence, or mismatched styling between pages can silently corrupt the experiment, making instrumentation and cross-page consistency checks especially important.
Related terms
Above vs Below Median Split
A segmentation technique that divides users into two groups at the median of a metric to compare high and low engagers.
Qualitative Feedback Loop
A recurring process of collecting and acting on user comments, session recordings, and survey responses to inform test hypotheses.
Experiment Metadata
The structured record of who, what, when, and how for a test — hypothesis, owner, dates, variants, and metrics used to track and audit it.
Pre-Test Analysis
The upfront work of validating traffic, metrics, and baseline data quality before launching an experiment.
Above-the-Fold vs Below-the-Fold Messaging Hierarchy
How the order and prominence of value-proposition messaging is split between the visible screen and the rest of the page.
Experiment Contamination
When a control or variant group is unintentionally exposed to the other condition, corrupting the comparison.
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