A/B Testing for Web Personalization

Optimize web experiences with data-driven experimentation

A/B Testing for Web Personalization makes it easier to compare different versions of a web experience and identify what drives better engagement. Create two to five variants, define a winning metric, and run a controlled experiment with a control group. Once the test ends, Netcore automatically identifies the best-performing variant and serves it to the remaining audience.

What’s New

Test multiple experiences: Create and compare 2–5 variants within a single Web Personalization campaign.Choose what defines success: Select Clicks or Conversions as the winning criterion.

Include a control group: Compare personalized experiences against a baseline experience to measure impact. Consistent user experience: Users are consistently assigned to the same variant throughout the experiment.

Automatic winner rollout: Once the test window ends, the highest-performing variant is automatically served to the remaining audience. Variant-level reporting: Track impressions, clicks, and conversions for each variant and compare performance with the control group.

Experiment versioning: Editing a running campaign starts a new experiment while preserving historical results from the previous version.

Refer here for documentation