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Brief
Eppo

Eppo

Experimentation & Analytics Platformgeteppo.com

Eppo provides a warehouse-native experimentation platform that combines statistical rigor with ease of use, allowing companies to run trustworthy A/B tests while maintaining full control of their data in their own data warehouse.

Last updated Jun 23, 2026 by the ATDb Editorial Team

Founded
2021
HQ
San Francisco, California, United States
Connections
10

At a glance

Employees
51-200
Funding
$47M
8integrations2competitors

About

Emerging warehouse-native experimentation platform competing with established players like Optimizely and LaunchDarkly

Eppo is a modern experimentation and feature flagging platform that enables companies to run statistically rigorous A/B tests and make data-driven product decisions. Founded to address the limitations of traditional experimentation tools, Eppo connects directly to companies' existing data warehouses (like Snowflake, BigQuery, and Databricks) rather than requiring data to be sent to a third-party system. This warehouse-native approach allows data teams to maintain control over their data while providing product teams with a user-friendly interface for experiment design and analysis. While not strictly an AdTech company, Eppo serves the broader marketing technology and product analytics ecosystem, with particular relevance to companies optimizing digital experiences, ad performance, and conversion funnels. The platform is designed for modern data-driven organizations that want to democratize experimentation across product, engineering, and marketing teams while maintaining statistical rigor. Eppo has gained traction among growth-stage technology companies and enterprises looking for a more flexible, transparent alternative to legacy experimentation platforms.

Business model

SaaS

Target market

Mid-Market, Enterprise

What they offer

  • Experimentation Platform

    Core A/B testing and experimentation platform with advanced statistical methods including sequential testing and CUPED variance reduction

  • Feature Flagging

    Feature management system for controlled rollouts and experimentation

  • Warehouse-Native Architecture

    Direct integration with data warehouses for analysis without data movement

  • Statistical Analysis Engine

    Advanced statistical methods for experiment analysis with built-in guardrails against common pitfalls

Key features

Warehouse-native architectureSequential testing and early stoppingCUPED variance reductionMulti-armed bandit optimizationAutomated experiment analysisMetric guardrailsFlexible randomization unitsReal-time experiment monitoringStatistical rigor and transparency

Use cases

Product feature A/B testingMarketing campaign optimizationPricing experimentationUser experience optimizationConversion funnel optimizationPersonalization testingAd creative and targeting optimizationGrowth experimentation

Customer segments

Technology companiesE-commerce platformsSaaS companiesDigital media companiesConsumer appsMarketplaces

Tech & specs

Technology stack

SnowflakeBigQueryDatabricksRedshiftPostgreSQLReactTypeScript

Security & compliance

SOC 2 Type IIGDPRCCPA

Deployment

Cloud

API

Yes

Corporate history
  1. 2021 · Founded
See integrations with Eppo (8)

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