A/B Testing Pricing

Overview

Price A/B testing lets you run controlled experiments — showing one price to a segment of visitors and a different price to another — before committing to a permanent change. This is one of the highest-leverage optimizations available, but also one of the riskiest: a poorly executed test destroys customer trust and produces misleading data. Most platforms do not have native price A/B testing, so this requires either a dedicated app or a custom implementation. This skill walks you through setting up price experiments correctly on each major platform.

When to Use This Skill

• When you need data-driven evidence for a price change before rolling it out site-wide
• When testing price sensitivity across different customer segments or product categories
• When evaluating the revenue impact of a new pricing model (e.g., switching from $49.99 to $45.00)
• When running multiple concurrent price experiments on different products without interference
• When regulatory or ethical requirements demand that price tests are documented, time-limited, and reversible

Core Instructions

Step 1: Determine the merchant's platform and choose the right approach