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FEATURED CASE STUDY
Coinbase Saves Millions, Reduces Experiment Analysis Time by 40%, and Restores Trust in Experimentation with Eppo
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Switchback Experiments
Experimenting at Scale for Marketplaces, Platforms, and More
Test surge pricing, ranking algorithms, and delivery time predictions without complications from spillover with Eppo’s switchback experiments.
Accurate testing for system-wide changes
Traditional A/B testing struggles when changes impact an entire system, causing interference between test groups. With switchback experiments, you can isolate the true effects of changes in pricing, dispatch algorithms, or recommendation engines—ensuring cleaner, more reliable insights without cross-group contamination.
Simplified experiment setup and analysis
Running switchback experiments manually is complex, requiring careful scheduling, burn-in periods, and data analysis to avoid misleading results. Eppo’s platform simplifies the entire process—handling time-based switching, tracking performance across different intervals, and delivering accurate insights so teams can focus on making decisions, not managing experiments.
Optimized for high-impact decisions
When optimizing core systems like logistics, dynamic pricing, or content ranking, slow or inaccurate testing can lead to costly mistakes. Drill down into assignments at any point in an experiment to ensure you’re on track to get the results you want.
