All Posts by Idan Michaeli

Idan Michaeli is an experienced data scientist, expert at building large-scale machine learning systems, from business questions to production, with both hands-on consulting and mentoring experience, as well as management expertise.

Idan Michaeli

Why session-based attribution is flawed in A/B tests

To yield more actionable results, marketers should move away from session based attribution and start measuring A/B tests based on revenue per user.

Idan Michaeli

Frequentist vs. Bayesian approach in A/B testing

The industry is moving toward the Bayesian framework as it is a simpler, less restrictive, more reliable, and more intuitive approach to A/B testing.

Idan Michaeli

Doing Data Science in a Startup: The Hard Truth

I hate to break it to you, but a high-tech Internet startup is not a natural environment to do research.

Idan Michaeli

Why reaching and protecting statistical significance is so important in A/B tests

Delve deeper into the mechanics of “classic” A/B testing, become familiar with the actual meaning of statistical significance, and discover the pitfalls threatening the validity of your test results.

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All Posts by Idan Michaeli

Why session-based attribution is flawed in A/B tests

Frequentist vs. Bayesian approach in A/B testing

Doing Data Science in a Startup: The Hard Truth

Why reaching and protecting statistical significance is so important in A/B tests