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inconclusive

Product: What It's Worth on Product Page

Hypothesis

If we clearly show the monetary value or savings offered, then conversion and upgrade rates will improve because users can rationalize the purchase against tangible value anchors

Test Results

1,052,531
Sample size

Key Learning

Context: How prices are displayed on the product directly influences perceived value and willingness to buy.

What was tested: Framing price against value anchors (comparable alternatives, savings, or ROI) shifts the mental model from cost to investment, supporting conversion in considered-purchase contexts This large-scale test (1,052,531 visitors) provides strong statistical confidence in the directional findings.

Result: No statistically significant difference was detected. Pricing tests that are inconclusive may indicate the price itself isn't the issue — the perceived value or the framing might matter more.

How to Apply This to Your Site

This experiment tested product: what it's worth 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 pricing 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

In this experiment, a pricing table (an upsell of product protection plan coverages) was tested against a more explicit yes/no toggle for including the plan. Impact was measured on adds to cart, orders, and upsell rate, using an 80/20 traffic split.

Methodology

Confidence Level
70%

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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