A/B testing

Meta analysis calculator

Gain insights about the results of sets of A/B tests. Compute p-values and intervals for average outcomes across multiple A/B tests or a cumulative outcome from a series of experiments over time.

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Versatile meta analysis calculations

  • Various inputs can be provided: p-values, z-scores, confidence levels, and both relative difference and absolute difference confidence bounds
  • Supports calculations for relative lift (for binomial metrics) and for difference in means (for continuous metrics)
  • Outputs the average or cumulative effect and all possible meta analysis statistics based on the input
A/B testing tools

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See what our clients have to say

We've been using the sequential calculator with about 90% of our clients for many years now. The team have found it hugely beneficial to follow such a rigorous statistical protocol, and they appreciate how the UI simplifies explaining results to clients.

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Sim Lenz
Director of Experimentation at Conversion.com

At Cro Metrics, we've run tens of thousands of experiments for leading brands. Analytics Toolkit and the AGILE test calculator represent a step above and beyond every one of the other tools we've used.

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Ryan Lucht
Director of Strategy, Cro Metrics