How do I avoid common A/B testing mistakes on Shopify?

To get statistically valid results, most A/B tests need a minimum of 1,000 to 2,000 visitors per variant, depending on the expected difference in performance. The smaller the change you’re testing (for example, a 1% uplift in conversion rate), the more traffic you’ll need to detect it confidently. If your store sees less than 500 daily visitors, try to run longer tests, ideally for several weeks, so that you're capturing a complete view of behavior. You can also focus on high-traffic pages like your homepage or best-selling product listings to shorten the timeline. Use calculators like Evan Miller’s or testing tool dashboards to gauge the required sample size based on your baseline conversion rate and desired lift.