Listing: Listing Page
Hypothesis
If we test a similar change on our listing pages as tested, then our conversion metric will likely improve based on their implementation decision.
Test Results
Key Learning
Problem: How prices are displayed on the listing directly influences perceived value and willingness to buy.
What worked: implemented this UI change (Jan 24, 2024). Implementation suggests positive internal results
Takeaway: Even small lifts compound — across thousands of sessions, this adds up. Pricing perception changes are high-leverage — consider testing anchor pricing, tier order, and billing defaults as follow-ups.
How to Apply This to Your Site
This experiment demonstrated that listing: listing page can improve conversions. The test was run on a category page page in the travel industry.
Before you test: Consider that pricing 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
Months ago ran this A/B test on their listing pages where they showed price totals for a given date range. This was one step beyond the already visible day rates (in the control). They also used default dates for the total calculation when someone didn't enter a date, or user specified dates when users expressed them.
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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Checkout: Checkout Flow Simplification
Context: Friction during the checkout process causes users to abandon right when they're closest to converting.
Product: More Or Fewer Plans on Product Page
Context: How prices are displayed on the product directly influences perceived value and willingness to buy.