Homepage Testing Is Overrated: Evidence from 16 Homepage Experiments
16 homepage A/B tests exposed a 69% inconclusive rate — worse than any other page type. Data shows downstream pages win at 2x the rate.
Practical A/B testing frameworks, behavioral science, and conversion optimization — for growth leaders responsible for revenue.
16 homepage A/B tests exposed a 69% inconclusive rate — worse than any other page type. Data shows downstream pages win at 2x the rate.
We ran 13 pricing page A/B tests with a 15% win rate. Here are the counterintuitive lessons about why pricing psychology fails in practice.
Most A/B tests don't produce winners. Our data from 97 experiments reveals why a 61% inconclusive rate signals a rigorous program, not a broken one.
We ran 3 social proof A/B tests and got 0 winners. Here is why the most recommended conversion tactic failed and what actually works instead.
Analysis of 13 mobile A/B tests reveals a 38% win rate, beating desktop. Learn why device-specific testing matters more than responsive design alone.
97 real A/B experiments tested behavioral science principles in the field.
Most companies quantify testing costs but never calculate what NOT testing costs. The Experiment P&L framework reveals the true economics.
19 A/B tests on product comparison pages reveal layout structure beats content additions, attribute curation drives decisions, and interactive builders…
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…
A/B tests, multivariate tests, and bandit algorithms each solve different problems.
Generic onboarding flows force diverse users through identical experiences, losing those who don't see immediate relevance.
Empty states are the most overlooked conversion opportunity in product design.
Social proof during onboarding transforms uncertain new users into confident adopters.
The first 5 minutes of product usage determine whether users become power users or churned statistics.
Front-loading your entire product's complexity into the first session is the fastest way to lose users.
Time-to-value is the hidden variable that determines whether users activate or abandon.
The ultimate product goal is not just activation but habit formation. Learn how behavioral psychology's habit loop, variable rewards, and identity…
Practical A/B testing frameworks, behavioral science, and CRO strategies for growth leaders responsible for revenue. Practical. Free. Weekly.
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