Homepage A/B Test Ideas
Candidate changes for a local evidence-informed backlog. No idea below carries a predicted lift or a promise that another result will transfer to your users.
Start With the Problem
Use quantitative evidence to locate the problem: exposure, conversion, error, latency, funnel, and segment data. Use qualitative evidence to explain it: moderated usability, interviews, open-text surveys, support themes, and session review.
Keep those evidence types separate. Qualitative research can strengthen the mechanism; it cannot prove that a design change caused an outcome.
Write the Decision Before the Test
Document the audience, control, variant, behavioral mechanism, primary metric, guardrails, MDE, sample size, allocation, analysis method, exclusions, SRM response, and stopping rule. Timestamp the plan so later decisions can be audited.
Candidate Changes
Treat each card as a prompt. Keep only ideas connected to a documented local problem.
1.Hero Headline Clarity
Test benefit-oriented vs. feature-oriented hero headlines. Focus on what the visitor gets, not what the product does.
Candidate change only. Define a local problem, mechanism, and decision metric before testing.
Save this idea to your backlog2.Use Case Navigation
Test presenting use-case-based navigation ("I want to...") vs. product-category-based navigation ("Products > Features").
Candidate change only. Define a local problem, mechanism, and decision metric before testing.
Save this idea to your backlog3.Social Proof Above the Fold
Test showing customer logos, review counts, or a key testimonial in the hero area vs. below the fold.
Candidate change only. Define a local problem, mechanism, and decision metric before testing.
Save this idea to your backlog4.Primary CTA Optimization
Test CTA copy (action-oriented vs. generic), button design (color contrast, size), and placement on the homepage.
Candidate change only. Define a local problem, mechanism, and decision metric before testing.
Save this idea to your backlog5.Navigation Simplification
Test reducing main navigation items, grouping under fewer top-level categories, or using mega-menu vs. simple dropdown.
Candidate change only. Define a local problem, mechanism, and decision metric before testing.
Save this idea to your backlog6.Mobile Homepage Layout
Test a mobile-specific homepage layout with thumb-zone CTAs, simplified hero, and prioritized content hierarchy.
Candidate change only. Define a local problem, mechanism, and decision metric before testing.
Save this idea to your backlogFrequently Asked Questions
Which homepage A/B test should I run first?
Start with the largest decision-relevant problem supported by local behavioral data and user research. Implementation ease is useful for sequencing, but it is not evidence of impact.
What lift should I expect from these ideas?
No transferable lift is claimed. Set an MDE from business value and available traffic, then measure the effect in your own population.
What makes the result trustworthy?
A trustworthy result needs a documented hypothesis, primary metric, arm-level counts, planned sample size, allocation and SRM checks, analysis method, stopping rule, and a record of any mid-test changes.
Build the Full Experiment Plan
Calculate sample size and document the metrics, guardrails, and stopping rule before engineering begins.
Open the experiment planner