Does Restructuring Plan Detail Cards Improve Click-Through?
Hypothesis
On a plan-selection page where users click 'View Details' to expand long-form plan information, restructuring the expanded content with stronger visual hierarchy (bolded category headers, rounded grouping boxes, consistent sequence across desktop and mobile) should improve scannability and downstream click-through to enrollment.
Test Results
Key Learning
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.
How to Apply This to Your Site
This test showed that does restructuring plan detail cards improve click-through? hurt conversions. The change was tested on a plp page in the energy & utilities industry. Avoid replicating this exact approach — instead, consider testing the opposite direction or a more subtle variation.
Before you test: Consider that layout 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
Test on a plan-selection / pricing page in the Energy & Utilities sector. The variant kept the underlying content identical but restructured its visual presentation — adding section headers, grouping cards, and aligning mobile vertical order with desktop horizontal order. Audience scoped to engaged users who actually clicked 'View Details.'
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
Checkout: Multiple Steps
Problem: Friction during the checkout process causes users to abandon right when they're closest to converting.
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.
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