ab-testing-pricing

You can run price A/B tests on Shopify, Shopify Plus, WooCommerce, BigCommerce, and custom headless storefronts. The approach ensures price changes apply directly at checkout rather than just cosmetically displaying alternate prices.

Price A/B tests use deterministic sticky bucketing to keep individual customers in the same variant group across sessions. This prevents returning customers from seeing fluctuating prices, protecting customer trust and reducing churn during the experiment.

Pricing experiment results require a two-proportion z-test analysis with a p < 0.05 threshold. You must also enforce minimum sample size gates before evaluating results to ensure the test has sufficient statistical significance to identify revenue-maximizing price points.

Yes, the A/B testing approach supports single-product, collection-level, and segment-targeted price experiments. It works across Shopify Plus, WooCommerce, BigCommerce, and custom headless storefronts, tracking funnel events and revenue impact for each specific segment.

You should exclude returning customers from a pricing experiment to prevent churn and enable post-hoc reconciliation. Excluding them ensures that sticky bucketing remains effective and that returning users do not encounter unexpected price changes that could damage customer trust.