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Experimentation

Product Experimentation Web Experimentation Lifecycle Experimentation Lifecycle Experimentation

Feature Flagging

Release Management Automated Rollouts Config Flags Release Management

AI Personalization

Contextual Bandits Contextual Bandits

Geolift Geolift

WHY EPPO

By Role

Data Scientists Engineers Product Managers Product Managers

Resources

Customers Outperform Updates White Papers White Papers

FEATURED CASE STUDY

Coinbase Saves Millions, Reduces Experiment Analysis Time by 40%, and Restores Trust in Experimentation with Eppo

Eppo vs. Statsig

See why 80% of companies who compared Eppo and Statsig in 2024 chose Eppo as their experimentation partner - like Coinbase, Perplexity, CVS, Airtable, WHOOP, Lyst, and more.

Tour the platform

Drive an experimentation culture with best-in-class statistical rigor

Empower all teams with experimentation

Empower experimentation across all teams including those in product and engineering, as well as go-to-market such as sales, marketing, and so on.

Maximize decision-making velocity

Eppo’s intuitive user interface (UI) and mature, proven features ensure maximum experimentation velocity

Understand causal impact of drivers and outcomes

Empower smart decision-making with best-in-class, rigorous statistical methods built by experts.

Why customers choose Eppo vs. Statsig

Vision
Empower all teams with experimentation.
- Including both technical and non-technical audiences.
- Broad perspective: Eppo’s deep experience handles a broad range of industries and scenarios.
Empower developers (only) to build better products.
- ‘For developers by developers’, not non-technical staff.
- Narrow perspective: Essentially a clone of internal tooling at Meta. Neglects the perspectives and learnings from other industries.
Achieving the Vision
Maximize decision-making velocity
- Self-serve with intuitive UI: From simple on-off flags to gradual rollouts & full-blown experiments.
- Mature features: Built with comprehensive research, minimizes 3rd-party tools and departmental dependencies.
- Build trust by understanding causation of outcomes: Measures are made with purpose. Underlying calculations are transparent, well-documented.
- Collaborative customer success help: white glove service, to ensure maximum value.
Do it
“the Meta way”
- Not intuitive, particularly, for non-developers.
- Incomplete features spread across a wide range of tools. Customers often asked to complete feature requirements.
- Hard to trust: Measure everything, whether impactful or not. Complex underlying calculations makes it hard for all teams to trust results.
- No substantial, deep help, just the documentation and limited online community.

The brands that use Eppo

Ready to go from knowledge to action?

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