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A/B Test Results

Measure the impact of changes before rolling them out across your inventory.

What is A/B Test Results?

A/B Test Results is a reporting tool that lets publishers measure the revenue and user-experience impact of a monetization change by comparing a test group against a control group. It enables AdOps Teams, Revenue Managers, and Programmatic Specialists to make data-driven decisions and deploy changes with confidence.

What are the key capabilities of A/B Test Results?

A/B Test Results provides four core capabilities for evaluating monetization changes:

  • Test vs. control group analysis
  • Revenue impact measurement
  • User experience evaluation
  • Clarity-driven optimization

What are the typical use cases for A/B Test Results?

A/B Test Results supports five common publisher scenarios:

  • Validate revenue improvements: Measure whether a change positively impacts revenue before deploying it to all users.
  • Evaluate user experience impact: Ensure monetization optimizations do not negatively affect user experience, session depth, or audience engagement.
  • Compare alternative strategies: Test different configurations, formats, or settings to determine which approach delivers the best results.
  • Reduce risk: Make decisions based on measurable outcomes rather than assumptions, minimizing the risk of deploying changes that do not deliver results.
  • Support continuous optimization: Run systematic tests continuously and improve monetization performance through measurable, insight-driven experimentation.

Who typically uses A/B Test Results?

A/B Test Results is designed for the following roles:

  • AdOps Teams
  • Revenue Managers
  • Programmatic Specialists