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Eppo setup, experiments and audits.

We set up Eppo on your warehouse and help your team run rigorous, warehouse-native experiments.

✦ Ready for the AI era. Run experiments on AI-powered features with Eppo, with the warehouse as your source of truth.

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trusted by data teams at

NextEra Energy Invesco Adorama Adlibris StubHub Educative camino/financial

✓ Enterprise-ready. Already trusted by multiple Fortune 100 companies.

what we do

Eppo, from first test to advanced program

setup

Setup from scratch

  • Warehouse connection and assignment logging
  • Metric and fact-table definitions
  • SDK integration
  • Your first trustworthy experiments
advanced

Advanced experiments & feature flags

  • Advanced statistics and variance reduction
  • Feature flags and holdouts
  • Server-side and client-side testing
  • Guardrails and decision frameworks
audit

Audits of existing setups

  • Assignment and exposure integrity
  • Metric definitions and fact tables
  • Stat settings and decision rules
  • Process and governance
integration

Data infrastructure integration

  • Snowflake, BigQuery and other warehouses
  • Reusable metrics across BI and experiments
  • dbt models feeding experiment metrics
  • Results fully in your stack
rd audit — eppo
rd audit --eppo

✔ warehouse connected
✔ assignments logging
! fact tables incomplete
! metrics duplicated across teams
✗ guardrails missing

1 critical · 2 warnings · 2 passed

// illustrative

in practice

What working with Eppo looks like

how-it-works

How it works

  • It is warehouse-native: assignment and metric data stay in your warehouse, and results are computed there
  • Metrics are defined once and reused across experiments, which makes results consistent
  • Variance reduction and sequential methods are built in
  • Feature flags and experiments use the same assignment logic
problems-we-fix

Problems we fix most often

  • Assignment tables that are not joined correctly to metric events
  • Metric definitions that drift from the BI layer
  • Slow or costly queries on large event tables
  • Experiments without a clear primary metric

where it fits / Eppo suits data teams that treat the warehouse as the single source of truth. We build the data foundations it relies on and run the program with you.

faq

Frequently asked questions

What makes Eppo different from other tools?

Eppo is built around your warehouse as the source of truth, which suits data teams that want rigorous, auditable results. We set it up so assignments, metrics and results line up with your data stack.

Can you help define our metrics in Eppo?

Yes. We help you define fact tables and metrics once, so experiments, BI and analytics agree.

Can you set up Eppo from scratch?

Yes. We handle setup, SDK integration, metrics and your first trustworthy experiments: warehouse connection and assignment logging, metric and fact-table definitions, SDK integration.

Can you audit our existing Eppo program?

Yes. An audit covers: assignment and exposure integrity, metric definitions and fact tables, stat settings and decision rules, process and governance. You get prioritised recommendations.

Do you run advanced experiments and feature flags in Eppo?

Yes: advanced statistics and variance reduction, feature flags and holdouts, server-side and client-side testing, guardrails and decision frameworks.

Can you connect Eppo to our warehouse and analytics?

Yes. We integrate Eppo with your data stack: snowflake, BigQuery and other warehouses, reusable metrics across BI and experiments, dbt models feeding experiment metrics, results fully in your stack.

Is Eppo the right tool for us?

We are vendor-neutral and work with almost every experimentation tool, including GrowthBook, Statsig, Eppo, Optimizely, VWO, Convert, AB Tasty, Kameleoon and Amplitude Experiment. We recommend what fits your team, scale and budget.

Can you help us migrate from Eppo to another tool?

Yes. We plan the migration, move experiments and metrics, and run both tools in parallel until you trust the results.

How much does it cost?

Pricing is tailored to your scope. Get a quote or schedule a consultation and we will give you a clear estimate.

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← all a/b testing & experimentation services   all services →

how we work

From first call to running system

step-01

01 /

Discover

We learn your goals, stack and constraints.

step-02

02 /

Plan

Audit findings and a clear, prioritised plan.

step-03

03 /

Build

Implementation by engineers, reviewed with your team.

step-04

04 /

Run

Hand over, or keep us on to support it.

get-started.sh

Tell us what you need. We'll scope it.

Pricing is tailored to your sources, volume and the parts of the platform you use. Request a demo or book a call with the team.

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