You can now run A/B tests and controlled experiments across your site. Test new features with a portion of your audience before rolling them out to everyone. The system automatically assigns visitors to test groups and tracks their behavior, helping you make data-driven decisions about what works best for your readers.
Marfeel now supports A/B testing and controlled experimentation across your digital properties. Run experiments to validate new features, optimize user experiences, and make data-driven decisions about what resonates with your audience.
The experimentation framework lets you test changes with a subset of visitors before committing to a full rollout. Define test groups with custom weight distributions, automatically assign visitors to variants, and track performance through integrated analytics. Visitor assignments persist across sessions, ensuring each person sees a consistent experience throughout the test period.
This capability serves multiple use cases. Editorial teams can test different content formats or layouts to identify what drives engagement. Product teams can validate new features with a limited audience before broader release. Optimization teams can experiment with different personalization strategies to improve key metrics.
The system handles the complexity behind the scenes. Visitor assignment happens automatically based on your configuration. Test data flows into your analytics pipeline for performance measurement. Assignment persistence ensures reliable results without requiring visitor identification or login.
Start experimenting today to discover what works best for your audience and optimize your publishing strategy with evidence rather than assumptions.