CUPED Variance Reduction in A/B Testing, Explained
How CUPED uses pre-experiment data to cut A/B test duration by 20–50%, where it works (and where it doesn't), and how to start using it.
Articles exploring series-ab-testing-applied through the lens of behavioral science and experimentation. Practical frameworks for growth leaders who measure in revenue, not vanity metrics.
10 articles
How CUPED uses pre-experiment data to cut A/B test duration by 20–50%, where it works (and where it doesn't), and how to start using it.
A practical guide to A/B testing across the e-commerce funnel — from category pages to checkout.
Learn why aggregate A/B test results hide the truth. Master segmentation analysis, understand heterogeneous treatment effects, and avoid the segment fishing trap.
Canary releases, feature flags, and A/B tests solve different problems. When to use each — and why a 10% rollout is not an experiment.
From Obama's $60M fundraising lift to modern campaign optimization, political A/B testing is a masterclass in high-stakes, time-constrained experimentation…
A/B testing isn't free. Learn the real costs — opportunity cost, engineering resources, decision delay — and develop the judgment to know when shipping fast…
Learn how to test pricing without the ethical and brand risks of showing different prices to different users.
Standard A/B testing breaks when users influence each other. Learn about interference, network effects, and how platforms like LinkedIn and Uber solve…
Trace A/B testing from 1835 drug trials through Claude Hopkins' coupon testing to Google running 10,000 experiments annually.
Not all A/B tests use the same statistics. Learn which test to use for conversion rates, revenue, count data, and small samples — with a practical decision tree.