Multiple: Mobile Search Bar Visibility and Heatmap-Driven PDP Redesign
Hypothesis
Heatmap and session recording analysis reveals that mobile users are failing to find products due to hidden/hard-to-tap navigation elements. Making the search bar more prominent and redesigning mobile PDPs around thumb-zone interaction patterns will dramatically increase conversion rates during high-traffic events.
Test Results
Key Learning
Context: Users arriving at the multiple can't efficiently find what they're looking for, increasing bounce rates.
What was tested: Heatmap analysis during regular traffic periods predicts where BFCM visitors will drop off. Search bar placement and visibility is a high-leverage mobile optimization — hidden search bars cause product discovery failure. Sports nutrition audiences skew mobile-first; desktop-optimized PDPs translate poorly to mobile. BFCM traffic has different intent profiles
Result: No statistically significant difference was detected. This null result is still valuable — it narrows the search space and helps calibrate your minimum detectable effect for future tests.
How to Apply This to Your Site
This experiment tested multiple: mobile search bar visibility and heatmap-driven pdp redesign but produced no statistically significant change. The test was run on a landing page page in the e-commerce industry. Inconclusive results suggest this particular change may not be a priority — focus testing effort on higher-impact areas.
Before you test: Consider that mobile ux tests typically require adequate traffic to reach statistical significance. Run your test for at least 2 full business cycles to account for weekly traffic patterns.
What Was Tested
A sports nutrition brand engaged Blend for CRO ahead of BFCM. Blend used heatmap analysis to identify that mobile users were struggling with navigation and product discovery. Key interventions included making the mobile search bar more visible and accessible, and restructuring the PDP layout for mobile-first engagement. The BFCM campaign saw 285% higher conversion rates compared to prior year.
Methodology
Build On These Learnings
Save your own experiments, spot winning patterns across your test history, and stop repeating what's already been tried.
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