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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.

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
  • ClickUp
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