How to avoid the pitfalls of peeking at A/B tests without flying blind
Holdouts help measure the cumulative, long-term impact of an experimentation program. But getting value out of holdouts requires scale and maturity that not all organizations are ready for.
When does it make sense to bandit, and when to experiment?
Optimizing search ranking algorithms can drive millions of dollars in revenue. Here's how to A/B test them.
Are mutually exclusive experiments necessary, or dangerous? Here's how to run them in Eppo.
It’s time for experimentation tools to integrate directly with the CMS instead of trying to imitate them
Why experiments are necessary to evaluate LLMs - and how you can easily A/B test between various models with Eppo.
Metrics are the vehicle that drives change in data-driven organizations.
An experiment is the best way of understanding the causal impact of a decision on business metrics.
It's really a question of infrastructure and hypothesis generation
Discover how product usage data reveals valuable insights into user behavior, letting you craft better user experiences, increase retention, and foster growth.
Learn how to harness the power of CRO and A/B testing to drive higher conversions, improve user experience, and achieve your marketing goals.
LaunchDarkly vs. ConfigCat vs. Eppo: Which platform fits your organization best? Compare features, pricing, and pros/cons.
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