Personalization Articles — Atticus Li

Atticus Li

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Personalization

Articles exploring personalization through the lens of behavioral science and experimentation. Practical frameworks for growth leaders who measure in revenue, not vanity metrics.

7 articles

behavioral economics May 25, 2026 9 min read

The 1.8-Second Window: How Netflix Built a $270 Billion Business on Your Attention to a Thumbnail

Netflix users spend 1.8 seconds evaluating each thumbnail before moving on. The entire $270B business is built around winning that 1.8-second window. A behavioral economics deep dive into Netflix's AVA system, multi-armed bandit personalization, the lawsuit it caused, and what the rest of us should learn about Hick's Law, emotional salience, and ruthless experimentation on the first 1.8 seconds of any user choice.

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ai onboarding Apr 7, 2026 7 min read

How to Build AI-Powered Onboarding Flows That Personalize Automatically

Build AI-powered onboarding flows that personalize automatically for each user. Reduce time-to-value and increase activation with intelligent onboarding.

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ab-testing Mar 31, 2026 10 min read

Audience Conditions in Optimizely: A Practical Guide to Targeting

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.

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ai segmentation Mar 28, 2026 7 min read

AI-Driven Segmentation Discovery: Finding Audiences You Didn't Know to Look For

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.

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ai Mar 28, 2026 7 min read

AI-Powered Experimentation: What Changes and What Stays the Same

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.

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customer trust Mar 28, 2026 7 min read

The Paradox of Personalization: When Tailored Experiences Feel Creepy Instead of Helpful

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.

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ab-testing Mar 27, 2026 8 min read

Data Segmentation for A/B Tests: Finding Hidden Winners

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.

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