Articles exploring personalization through the lens of behavioral science and experimentation. Practical frameworks for growth leaders who measure in revenue, not vanity metrics.
6 articles
Build AI-powered onboarding flows that personalize automatically for each user. Reduce time-to-value and increase activation with intelligent onboarding.
A practitioner-level guide to Optimizely audience conditions — AND/OR logic, cookie targeting, dynamic evaluation timing traps, and why your audience is always smaller than you think.
Traditional segmentation requires you to hypothesize which user groups matter. AI flips this by discovering segments from the data itself, revealing hidden audiences where your experiment results diverge dramatically from the overall average.
AI transforms hypothesis generation, test velocity, and real-time personalization in experimentation programs while the fundamental requirements of statistical rigor, sample size, and causal inference remain unchanged.
The uncanny valley of personalization and the privacy-relevance tradeoff. Why more data does not always produce better experiences, and how to find the optimal personalization depth.
Discover how to uncover segment-level insights hidden within overall A/B test results. Learn which segments to analyze, minimum sample size requirements, and how to avoid the data dredging trap.