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Pitfalls in Running Concurrent A/B Tests

Sep 28, 2020

10:00

25

An A/B test is only as good as its ability to inform decision-makers and that depends crucially on choosing the right thing to measure as a primary outcome. Navigating the maze of available metrics can be quite a challenge once you consider the various measurement, statistical, and communication issues involved. In this talk Georgi will provide important pointers on how to design tests with high impact on business decisions by choosing the right primary metric

  • Georgi Georgiev (BGR)

    Author of Statistical Methods in Online A/B Testing

    @ Web Focus

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