More experiments.
More use cases.
Fewer bottlenecks.

Eppo is the only platform that enables trustworthy, self-serve experimentation and feature management for every team: from simple A/B tests and rollout flags to AI personalization and marketing incrementality tests.

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Eppo drives experimentation culture

For Data Teams

Automate experimentation analysis, deep dives, and diagnostics with trusted statistical methods

Centralize and govern metric definitions, experiment Protocols, and workflows across your org

Ensure trust in data with zero-copy, warehouse-native architecture

For Engineers

Leverage the fastest, most resilient feature flags - powering billions of daily assignments

Make every deployment into an automated safe rollout

Use one platform for everything from simple feature gates to AI personalization

For Marketers

Test all of your marketing channels against metrics that matter - revenue, not clicks

Run no-code experiments on your website, in email/SMS campaigns, and beyond

Measure the true incrementality of advertising with Geolift tests

For PMs

Dig into feature performance and slice-dice analysis without needing your data team

Plan roadmaps that drive impact and measure their performance with Experiment Forecasts

Shave weeks off of experiment runtime with advanced tools like CUPED++

The end-to-end experimentation platform

Experimentation

Warehouse-native architecture powers a world class statistical engine without becoming a black box. Automate experiment analysis while maintaining rigor.

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Feature Flagging

Fast and resilient feature flags for A/B tests, feature gates, controlled rollouts, kill switches, and dynamic no-code configuration. Simple to get started, and built to scale.

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Personalization

Unlock new possibilities in personalization with Contextual Bandits. Automatically optimize user experiences in real-time, or get more value from your AI models.

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AI Model Evaluation

Build more effective AI products. Evaluate AI models by running experiments with trusted business metrics.

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The key to fast, reliable experiments?
Warehouse-native architecture.

Complete metric governance

Data teams own metric definitions and guardrails with version control and the semantic layer.

Measure key-metric impact

Run experiments on your company’s core business metrics, not on vanity metrics.

Keep your data warehouse costs down

Eppo’s pipelines are optimized to keep your data warehouse bills down.

Avoid security and data privacy concerns

No data egressing of data, no conflicting sources, no black boxes.

Go from experimenting in a silo to an organization-wide culture

Talk to our team of experts and see why companies like Twitch, DraftKings, and Perplexity use Eppo to power experimentation for every team.

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Expert guidance. Powerful tools.

If you want to build a culture of experimentation, you'll need people, processes, and technology. Eppo helps with all three.

Experimentation experts
in your corner

Connect with experimentation veterans to optimize your practice. Eppo's white-glove support gives you access to world-class experimenters and the building blocks to nurture an experimentation culture in your org.

The Most Advanced Statistical Engine

Trusted statistical frameworks for analysis—sequential, fixed sample, and Bayesian—all implemented rigorously. Plus we offer the most robust implementation of CUPED variance reduction.

Bayesian Angels and Frequentist Demons

How Startups Like Figma, Facebook, and Airbnb Found Sudden Growth Inflections

What’s Wrong with Feature Flags?

Winning Insights
on Leading Innovation

Learn from the most successful companies and leaders in the world on Outperform, Eppo’s platform for all things experimentation.

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Loved By Our Customers

Mark Stone

Head of Data and Analytics

“Eppo enables us to get insights that wouldn’t be possible in previous tools. It’s a whole new generation of A/B platform.”

Emily Bartha

Product Data Science Manager

“After switching to Eppo, our Product Managers are spending 50% less time making dashboards and debugging issues, which leaves more time to develop the features our users want.”