Eppo centralizes experimentation workflows on top of the source-of-truth metrics in your data warehouses, providing a rigorous statistical framework, and enabling non-technical users to self-serve experimentation.

Work with trusted data. Remove analytical bottlenecks

1

Sits on top of the data warehouse

Eppo natively uses source of truth data in cloud data warehouses (Snowflake, BigQuery, Redshift). This means Eppo experiments can use vetted, modeled metrics from dbt and Airflow DAGs.
2

Centralized metric governance

Align your organization around vetter KPI data sources. Designate core KPIs to be guardrails across all experiments. Monitor metrics for anomalous drops.
3

Cutting-edge stats methods

Don’t risk false positives. Eppo offers rigorously-implemented sequential, fixed sample, and Bayesian frameworks for analysis. Plus, we’ve got the most robust implementation of CUPED variance reduction.
4

Self-serve power analysis

Run experiment scenarios with self-serve power analysis. Centralize and coordinate experiment sequences across teams.
5

Accessible reporting

Empower non-technical users to self-serve experiment analysis. Eppo offers out-of-the-box reporting and deep-dive functionality that anyone can use—and that helps data teams avoid annoying, prolonged analytics cycles.

Loved by data teams

Mark Stone
Head of Data and Analytics
“Eppo is an incredible tool that not only saves us tons of analyst time and improves accuracy, but also enables us to run all kinds of experiment analyses right on top of the data warehouse. We can enrich and join data to get insights that wouldn’t be possible in previous tools. It’s a whole new generation of A/B platform.”
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Realize the power of the modern experimentation workflow

Unlock advanced experimentation methods

Holdouts

Measure team impact with the gold standard of experiment aggregation. Eppo holdouts are simple to set up, come with compelling reports, and provide unimpeachable impact assessments.

Mutually Exclusive Experiments

Guaranteed isolation of experiments for teams operating on the same surface. Easy for teams to collaborate, with statistical planning tools to weigh tradeoffs.

Contextual Bandits

Home in on winning creatives, AI models, and product changes with an adaptive multi-armed bandit. Get full observability into bandit performance, automatically shut off losing options, and prove metric impact by combining bandits with an A/B test.

Integrations with the tools you love

Snowflake logo
Google BigQuery logo
Amazon Redshift logo
Databricks logo
LaunchDarkly logo
Optimizely logo
RudderStack logo
Segment logo
Split logo
DBT logo
Google Analytics logo

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