Eppo
Eppo is a warehouse-native A/B experimentation and feature management platform that helps product, engineering, data, and marketing teams run trustworthy experiments on top of their existing data warehouses, now operating as a Datadog subsidiary following its May 2025 acquisition.
- Company typePrivate
- Founded2021
- HeadquartersSan Francisco, United States
- Headcount51–100
- GTM typeB2B
- OfferingSoftware
What Eppo does
Eppo provides a warehouse-native A/B experimentation and feature management platform that enables companies to run trustworthy, self-service experiments across product, engineering, marketing, and data teams. Its core products — Experimentation (with advanced statistical methods including CUPED++ variance reduction, sequential testing, Bayesian analysis, and Clustered Experiments) and Feature Flagging (powering billions of daily assignments with kill switches and controlled rollouts) — sit directly on top of customer data warehouses (Snowflake, BigQuery, Redshift, Databricks) via a zero-copy architecture that avoids data egressing. The platform is extended by AI-driven Personalization using Contextual Bandits, an AI Model Evaluation module, Lifecycle Experimentation with GeoLift, and governance features (Protocols, Certified Metrics, Layers, Holdouts).
The company serves a horizontal customer base spanning Fortune 10 enterprises and 20-person startups across industries including fintech (Coinbase), gaming (DraftKings, Twitch), healthcare (Aetna/CVS), insurance (The Zebra), marketplaces (SeatGeek, Delivery Hero), productivity SaaS (ClickUp, Zapier, Miro, SurveyMonkey), and AI natives (Perplexity). Eppo operates a hybrid go-to-market combining self-serve product capabilities with enterprise field sales and white-glove onboarding. Founded in 2021 by Che Sharma (formerly of Airbnb and Webflow), Eppo raised approximately $51M in venture funding (seed, Series A led by Menlo Ventures, and Series B led by Innovation Endeavors) before being acquired by Datadog in May 2025 for approximately $220 million, after which it operates as 'Eppo by Datadog'.
Eppo firmographics
Firmographics- Name
- Eppo
- Legal name
- Eppo Data, Inc.
- Website
- https://geteppo.com
- Company type
- Private
- Founded year
- 2021
- Operating status
- Acquired
- Headcount range
- 51–100 employees
- Short description
- Eppo is a warehouse-native A/B experimentation and feature management platform that helps product, engineering, data, and marketing teams run trustworthy experiments on top of their existing data warehouses, now operating as a Datadog subsidiary following its May 2025 acquisition.
- Ownership category
- akta.pro rank
Eppo industry classification
Industry- Product category
- A/B Testing & Experimentation Platform
- NAICS
- Software Publishers (5132)
- SIC
- Services-Prepackaged Software (7372)
- akta.pro primary industry
- Application Performance Engineering & Observability (APM) (BPAEAFAK)
Keywords
Where Eppo is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Eppo business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Operations, Infrastructure
Revenue model
- Subscription Licensing: SaaS subscription model for access to the experimentation and feature flagging platform, with support included as part of the offering
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Multi-year contract | Enterprise Subscription - Pricing not publicly disclosed |
Go-to-market motion2 records
Distribution channels3 records
Marketing channels7 records
Eppo product offering
Product offeringCore offering
Eppo provides a warehouse-native A/B experimentation and feature management platform that integrates directly with customer data warehouses (Snowflake, BigQuery, Redshift, Databricks) via zero-copy architecture. The unified platform combines A/B experimentation, feature flagging, AI personalization through Contextual Bandits, AI model evaluation, and lifecycle marketing experimentation with advanced statistical methods including CUPED++ variance reduction, sequential testing, fixed sample, and Bayesian analysis.
Product overview
Eppo is a next-generation A/B testing and experimentation platform, now part of Datadog following its acquisition in May 2025. The platform operates as a unified experimentation suite comprising core Experimentation and Feature Flagging products, supplemented by AI-powered Personalization using Contextual Bandits, AI Model Evaluation capabilities, and Lifecycle Experimentation for marketing teams. Key features include Experiment Forecasting for roadmap planning, Protocols for experiment governance, Property Analysis for automated deep dives, Layers for coordinated multi-experiment management, Certified Metrics for standardized definitions, Holdouts for incremental impact measurement, and Event Logger for accurate exposure tracking. The platform is warehouse-native, integrating with Snowflake, BigQuery, Redshift, and Databricks, and offers advanced statistical methods including CUPED++ variance reduction, sequential testing, Bayesian analysis, and Clustered Experiments for B2B contexts.
Differentiator
Problem solved
Functional benefit
Brands
- Datadog Experiments: Eppo's experimentation platform rebranded as part of Datadog's product suite after the acquisition.
Products and services
- Experimentation Warehouse-native A/B testing and experimentation platform with a world-class statistical engine supporting sequential, fixed sample, and Bayesian methodologies plus CUPED++ variance reduction. Provides self-service experiment analysis, automated deep-dive property analysis, and metric governance for data teams.
- Feature Flagging Fast and resilient feature flags for A/B tests, feature gates, controlled rollouts, kill switches, and dynamic no-code configuration. Powers billions of daily assignments and integrates canary test standardization, automation, and monitoring.
- AI Personalization AI-powered personalization module using Contextual Bandits that automatically optimizes user experiences in real-time by balancing exploration and exploitation. Enables personalized content, recommendations, and experiences based on user context and behavior.
- AI Model Evaluation Build more effective AI products by evaluating AI models through experiments with trusted business metrics. Quantifies the success of machine learning and AI changes against business outcomes rather than just model accuracy.
- Lifecycle Experimentation Marketing-focused experimentation capabilities including GeoLift testing using synthetic control methodology to measure the impact of geographically-targeted campaigns and lifecycle marketing initiatives.
Quantifiable outcome
- Reduces experiment analysis time by 40%
- +3 more outcomes
Companies that use Eppo
Customer profileNamed customers16 records
Segments6 records
Ideal customer profiles2 records
Eppo technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration12 records
AI capability7 records
Feature10 records
Eppo partnerships and signals
Strategic signalPartnerships
Six partnerships are on record, tiered flagship and core.
- DatadogflagshipDatadog acquired Eppo for approximately $220 million in May 2025. Eppo now operates as Eppo by Datadog, enhancing Datadog's product analytics capabilities with experimentation and feature flagging.
- ContentfulcoreIntegration partnership enabling marketers to run experiments on content managed in Contentful's headless CMS without engineering support. Allows creation of test variations directly in Contentful and automatic feature flag generation in Eppo.
- SnowflakecoreTechnology integration partner - Eppo's warehouse-native architecture integrates with Snowflake data warehouse for experiment analysis
- Google BigQuerycoreTechnology integration partner - Eppo integrates with BigQuery for data warehouse connectivity and experiment metrics
- Amazon RedshiftcoreTechnology integration partner - Eppo integrates with Redshift for warehouse-native experimentation analysis
- DatabrickscoreTechnology integration partner - Eppo integrates with Databricks for experiment data processing and analytics
Scale indicators4 records
Recent moves6 records
Expansion highlights5 records
Eppo competitors and assessment
Company assessmentDirect peers
- LaunchDarkly: Direct competitor offering feature management and experimentation. Eppo lists LaunchDarkly in its integrations, evidencing direct product overlap in feature flagging and A/B testing for engineering teams.
- Statsig: Direct competitor in feature flagging and experimentation, now owned by OpenAI. Competes for the same data scientist and engineering buyer with warehouse-native-style workflows and statistics-first positioning.
- Optimizely: Direct competitor in A/B testing and experimentation, named in Eppo's integration list. Broader portfolio includes CMS and personalization, but experimentation core overlaps directly with Eppo's offering.
- Split (Harness): Direct competitor in feature flagging and experimentation, named in Eppo's integration list. Targets engineering and product teams with controlled rollouts and experimentation workflows similar to Eppo.
- AB Tasty: Direct competitor offering experimentation and personalization, with overlap in marketing and product A/B testing use cases that Eppo's Lifecycle Experimentation module targets.
- VWO: Direct competitor in A/B testing and conversion optimization. Primarily serves marketing and growth teams with web experimentation that overlaps with Eppo's web experimentation and GeoLift capabilities.
- Kameleoon: Direct competitor in A/B testing and personalization for enterprise digital teams. Competes for similar mid-market and enterprise buyers with feature flagging-adjacent experimentation workflows.
- Unleash: Open-source feature flagging platform with paid enterprise tier. Competes head-to-head with Eppo's feature flagging product, particularly among engineering-led buyers prioritizing self-hosting and OSS.
Emerging players
- GrowthBook: Open-source experimentation platform with warehouse-native architecture and feature flagging. Targets the same data team buyer as Eppo, particularly cost-sensitive and self-hosting customers.
Others
- Datadog: Parent company that acquired Eppo for ~$220M in May 2025. Provides observability and APM, into which Eppo's experimentation and feature flagging are now embedded as 'Datadog Experiments'.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat6 records
Key risks5 records
Key highlights7 records
Customer concentration
Eppo social profiles
Digital presenceEppo compliance and trust
Trust signalCompliance3 records
Eppo financial estimates
Financial estimateRevenue estimate
Valuation estimate
Eppo leadership team
Management profileNumber of profiles
Profiles7 records
Eppo funding detail
Funding detailFunding overview
Funding rounds3 records
Investors6 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Eppo M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Eppo
What does Eppo do?
Eppo provides a warehouse-native A/B experimentation and feature management platform that integrates directly with customer data warehouses (Snowflake, BigQuery, Redshift, Databricks) via zero-copy architecture. The unified platform combines A/B experimentation, feature flagging, AI personalization through Contextual Bandits, AI model evaluation, and lifecycle marketing experimentation with advanced statistical methods including CUPED++ variance reduction, sequential testing, fixed sample, and Bayesian analysis.
Is Eppo a public or private company?
Eppo is a private company. It is classified as corporate owned and is currently acquired.
When was Eppo founded?
Eppo was founded in 2021. It employs 51 to 100 people.
Where is Eppo based?
Eppo is headquartered in San Francisco, United States, in the North America region.
How does Eppo make money?
One revenue line is on record: subscription Licensing.
Who are Eppo's main competitors?
Direct peers on record are LaunchDarkly, Statsig, Optimizely, Split (Harness), AB Tasty, VWO, Kameleoon and Unleash. GrowthBook is listed as an emerging player. Datadog is listed as an others.
Does Eppo have an API?
Yes. Eppo provides SDKs for multiple programming languages enabling developers to integrate experimentation and feature flagging capabilities into their applications. The SDKs allow engineers to assign users to experiment variations, track exposures, and implement feature flags programmatically. Developer documentation is at docs.geteppo.com.
What industry is Eppo in?
Eppo's product category is A/B Testing & Experimentation Platform. Its primary akta.pro industry code is BPAEAFAK, Application Performance Engineering & Observability (APM). Its NAICS code is 5132 and its SIC code is 7372.