Discover how Multi-Armed Bandits revolutionize A/B testing in GrowthBook. Learn to optimize experiments automatically, reduce opportunity costs, and make data-driven decisions faster.
Many of today's leading companies rely on A/B testing to measure the impact of product changes and
Many A/B testing programs fall short due to low test frequency, biases, high costs, or lack of leadership buy-in. This blog highlights common pitfalls and offers solutions to improve experimentation, helping companies generate better insights and drive impactful product improvements.
Learn how we built WebLens, our AI-powered hypothesis generator, to enhance A/B testing by efficiently analyzing websites and proposing actionable optimization strategies.
Solve ALL of the problems with client-side experimentation with GrowthBook's Edge Worker SDKs
Running experiments can be a messy business and you often want to make changes mid-experiment. Making changes to running experiments
At GrowthBook, our mission has always been to empower organizations to optimize their online experiments seamlessly. We are thrilled to
As Google Optimize and Optimize 360 are to sunset on September 30, 2023, many users are hunting for an alternative experimentation…
The surprisingly counterintuitive problems of choosing metrics (and how it relates to cobras)
Rigorous statistics are often at odds with the needs of modern, product-driven companies to move fast and ship fast.
What is multi-arm bandit testing, how does it compare to regular A/B testing, and what are some of the reasons you should or should not use it?
Discussing the pros and cons of building vs buying an A/B testing platform.
In under two minutes, GrowthBook can be set up and ready for feature flagging and A/B testing, whether you use our cloud or self-host.
