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Conversion Stash · Dec 18, 2025

🍪 CRO Bites #10: Sequential Testing - 7 Tech Companies Sharing Insights

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Conversion Stash · Conversion Stash

Hi there 👋

We all know the standard rule of A/B testing: don’t peek!

However, there has been a noticeable shift in the industry over the years. Sequential testing is gaining massive traction by solving the age-old conflict between statistical rigor and the need for speed.

What is particularly exciting is the wealth of practical knowledge that has been shared in recent years. Several tech companies have published excellent articles explaining how they incorporate sequential testing into their experimentation programmes.

We curated the most valuable blog articles from 7 leading tech companies:

  1. Uber (2018) | Building Automated Feature Rollouts on Robust Regression Analysis

  2. DoorDash (2022) | Meet Dash-AB: The Statistics Engine of Experimentation at DoorDash

  3. Spotify (2023)

    1. Choosing a Sequential Testing Framework — Comparisons and Discussions

    2. Bringing Sequential Testing to Experiments with Longitudinal Data (Part 1): The Peeking Problem 2.0

    3. Bringing Sequential Testing to Experiments with Longitudinal Data (Part 2): Sequential Testing

  4. Booking.com (2023) | Sequential Testing at Booking.com

  5. GetYourGuide (2023) | How Sequential Testing Accelerates Our Experimentation Velocity

  6. Netflix (2024)

    1. Sequential A/B Testing Keeps the World Streaming Netflix - Part 1: Continuous Data

    2. Sequential A/B Testing Keeps the World Streaming Netflix - Part 2: Counting Processes

  7. Photoroom (2025) | Why sequential testing is the right way to experiment at the speed of PLG apps like Photoroom

Special thanks to all authors of the individual blog articles for sharing your expertise!

Looking for more engineering insights? We curate these and other experimentation blogs directly at Conversion Stash.

Browse all CRO Blogs

This book will help you navigate the statistical jungle of jargon & formulas. You will understand the advantages and limitations of statistical approaches for assessing the uncertainty of data from online controlled experiments. You will learn how to design efficient statistical tests and to adapt statistical models in a number of practical scenarios, primarily from e-commerce A/B testing.

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A big THANK YOU to some outstanding contributors who help enrich the platform:

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We love partnering with brands that resonate with our audience. Drop us a line at info@conversion-stash.com to explore sponsorship options!

Stay optimized,
Niklas & Nils from Conversion Stash

Read the original on conversionstash.substack.com

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