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Landing Page: Social Proof Display

Hypothesis

If we add a "Back to shop plans" Call-To-Action link/button to the abandoned cart landing page in the flow, then the total plan sign-ups will increase because it offers users an easy way to review and choose from a wider range of plans.

PricingLanding PageEnergy & UtilitiesClarityPricingBusiness ContextWeb AnalyticsUsabilityUser FlowChoiceHardcoded/Implemented

Test Results

0
Sample size

Key Learning

Problem: Users on the landing page need validation from others before committing — without visible proof of success, they hesitate.

What worked: If we add a "Back to shop plans" Call-To-Action link/button to the abandoned cart landing page in the flow, then the total plan sign-ups will increase because it offers users an easy way to review and choose from a wider range of plans.

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 landing page: social proof display can improve conversions. The test was run on a landing page page in the energy & utilities 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.

This result reached 95% statistical confidence, meaning there is a very low probability the observed effect was due to chance. Results at this confidence level are generally considered reliable for making business decisions.

What Was Tested

If we add a "Back to shop plans" Call-To-Action link/button to the abandoned cart landing page in the flow, then the total plan sign-ups will increase because it offers users an easy way to review and choose from a wider range of plans.

Methodology

Primary Metric
enrollments
Confidence Level
95%

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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