Pricing page experiments including tier presentation, feature comparison, and plan selection optimization.
Across 3 pricing page experiments, 33% resulted in a statistically significant win. Meanwhile, 1 test underperformed the control.
1 experiment was inconclusive, meaning the difference between control and variant was not statistically significant. Inconclusive results are still valuable — they tell you what doesn't move the needle, so you can focus testing effort elsewhere.
These results come from real A/B tests with sample sizes ranging from hundreds to millions of visitors. Use them to inform your own pricing page testing strategy and avoid repeating experiments that have already been run.
Context: How prices are displayed on the pricing page directly influences perceived value and willingness to buy.
Problem: How prices are displayed on the pricing page directly influences perceived value and willingness to buy.
Problem: How prices are displayed on the pricing page directly influences perceived value and willingness to buy.
Save your own experiments, get AI-powered test ideas, and build on patterns from 3+ real tests.
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