Theme Scientist A/B Testing provides no-code AB testing for Shopify themes and products, helping merchants maximize conversion rates through scheduled testing and data-driven insights.
Theme Scientist is one of the best free A/B testing apps for Shopify merchants in 2025. It offers no-code theme and product testing with a 14-day free trial, allowing you to test different layouts, pricing, and product details to optimize conversion rates. The app provides real-time analytics and scheduling features, making it ideal for merchants looking to boost sales through data-driven decisions.
Alternatives to Theme Scientist include Google Optimize (free client-side testing), AB Tasty (paid with free options), and Microsoft Clarity (free AI insights). Google Optimize offers basic A/B testing with Google Analytics integration, while AB Tasty provides more advanced features but requires a paid plan. Microsoft Clarity focuses on heatmaps and recordings rather than traditional A/B testing. Theme Scientist stands out with its time-based testing methodology and theme scheduling capabilities.
To set up your first test, start by duplicating your current theme as variant B. Make the changes you want to test on the new theme (layout, colors, etc.). In Theme Scientist, create a new test by selecting your two themes and choose your time interval (30 minutes to 24 hours). The app will automatically swap themes at your scheduled time and track conversion data for each variant.
Yes, you can test product prices using Theme Scientist. Simply create a duplicate product with the different price you want to test. Set up an A/B test comparing the two products, and the app will track which price point generates better conversion rates and revenue. Many merchants have found significant revenue increases through price testing - one user reported 20% greater sales with a higher price point.
Run tests for at least 2 weeks minimum to ensure each variation gets a full day of the week data. This helps eliminate day-of-week variations from skewing results. Aim for 95% statistical significance before making permanent changes. Use the built-in analytics dashboard to monitor progress and consider running paid traffic to test pages for faster data collection.
