Tag Archives: non-binomial

AGILE A/B Testing Update: Custom API & Support for Non-Binomial Data

AGILE A/B Testing Tool Updates

I’m happy to announce the release of two long-awaited features for our AGILE A/B Testing Calculator: Support for non-binomial metrics like average revenue per user A new custom API for sending experiment data to the calculator Below is an explanation of each of these new features in some detail. Support for Non-Binomial Data While our […] Read More…

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Statistical Significance for Non-Binomial Metrics – Revenue per User, AOV, etc.

Non-Binomial Significance - Revenue, Per User Metrics

In this article I cover the method required to calculate statistical significance for non-binomial metrics such as average revenue per user, average order value, average sessions per user, average session duration, average pages per session, and others. The focus is on A/B testing in the context of conversion rate optimization, landing page optimization and e-mail […] Read More…

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