Product: Earliest Availability on Product Page
Hypothesis
If we clearly display the earliest availability or delivery date on product pages, then conversion rates will improve because certainty about delivery timing removes a key objection
Test Results
Key Learning
Context: Friction during the product process causes users to abandon right when they're closest to converting.
What was tested: Showing concrete delivery dates reduces ambiguity-driven cart abandonment; effective particularly for time-sensitive purchases like gifts or scheduled needs With 157,930 visitors, this test has solid statistical power.
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 product: earliest availability on product page but produced no statistically significant change. The test was run on a product page page in the cross-industry industry. Inconclusive results suggest this particular change may not be a priority — focus testing effort on higher-impact areas.
Before you test: Consider that layout tests typically require large sample sizes to detect small effects. Run your test for at least 2 full business cycles to account for weekly traffic patterns.
What Was Tested
A number of copy tweaks were made in this experiment which was flipped around to match the earliest availability pattern (one of the more visible changes). Under this assumption, one of the more visible copy changes is the switch from using a blue "Most popular" tag towards a green "Available from [DATE]". The "available from" is also visible in the other version, except further down and with lower contrast. Impact on adds to cart and orders was measured.
Methodology
Build On These Learnings
Save your own experiments, spot winning patterns across your test history, and stop repeating what's already been tried.
Related Experiments
Does Restructuring Plan Detail Cards Improve Click-Through?
Test the variable users actually complain about — not the variable that's easiest to redesign. This test is a textbook case of treating form when the problem is content. Cross-brand qualitative research had consistently flagged three specific confusion themes: (1) pricing structure is opaque — users can't predict what they'll pay; (2) plan names are brand-driven rather than benefit-driven, so the names themselves don't communicate what the user is buying; (3) no side-by-side comparison — vertical layouts force users to scroll and remember instead of compare in parallel. Visual hierarchy is a presentation improvement; it does nothing about pricing opacity, naming clarity, or comparison difficulty. The test reached its planned sample size and produced a directionally-negative result at the noise floor — because organizing unclear content doesn't make the content clearer. The transferable insight isn't about visual hierarchy specifically; it's about the importance of mapping qualitative complaints to the test variable. If the user research says 'I don't understand what this plan costs,' the test should manipulate cost-clarity. If it says 'I can't tell these plans apart,' the test should manipulate differentiation. Layout tests are appropriate when the complaint is about layout — not when they're a default reflex.
Restructuring Homepage Hierarchy to Surface Personalized Offers
The story behind this win is the iteration discipline. The first attempt at this homepage redesign changed two systems at once (messaging + routing) and produced an ambiguous result: the entry metric moved slightly positive while downstream metrics moved meaningfully negative. The team correctly identified that the routing change — which inadvertently replaced direct links to a personalized plan-search experience with modal-driven entry into a generic flow — was the downstream killer. The iteration restored the original routing and kept ONLY the homepage hierarchy changes. All funnel metrics moved directionally positive in lockstep (entry +2.38%, mid-funnel +7%, conversion +11.81%) — none stat-sig individually but consistent enough across the funnel to justify shipping. Element-level diagnostics confirmed the mechanism: the segment CTAs the team intended to promote saw a 26-30% lift in unique-visitor interaction, while the unchanged hero banner stayed flat (as expected). Two key behavioral observations: (1) page-length reduction surfaced a 4x lift on a previously buried bottom-of-page zip code input — proving the secondary lesson that 'less page' can mean 'more conversion real estate'; (2) desktop strongly outperformed mobile, with the suspected cause being mobile's lead-with-form pattern (zip code above hero) — putting the form before the message creates friction. The broader transferable insight: when a messy test confounds multiple variables, the right move is to isolate one variable in the next test, not to abandon the hypothesis.
Content Page: Maybe Later on Content Page
Context: Key actions on the content page disappear as users scroll, creating a gap between intent and the ability to act.
Checkout: Multiple Steps
Problem: Friction during the checkout process causes users to abandon right when they're closest to converting.