ads-testing

A/B test duration is calculated by computing required sample sizes based on your baseline conversion rate and desired confidence levels. This Skill factors in your campaign context and expected traffic volume to determine the exact number of days needed for statistically valid results.

You can compute required samples for A/B testing by providing your campaign context, baseline conversion rate (CVR), and desired confidence thresholds. The system uses this data to calculate the exact traffic volume needed to reach statistical significance.

To set up a 90-day testing calendar, provide your campaign context and expected traffic. The system generates a structured schedule with test sequencing, durations, and winner criteria, outputting a complete ADS-TESTING-PLAN.md document with platform-specific instructions.

Baseline conversion rate (CVR) is the foundational metric used to calculate required sample sizes and test durations. By inputting your baseline CVR and desired confidence levels, the system determines the traffic needed to validate advertising experiments accurately.

Confidence thresholds determine the statistical certainty required to declare a winning ad variation. By setting these thresholds alongside your baseline CVR, the system calculates the necessary sample size and test duration to ensure your A/B test results are reliable.