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Drive an experimentation culture

Empower all teams with experimentation

Eppo empowers all teams with experimentation,  whether in product and engineering, or in go-to-market such as sales and marketing.

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. Optimizely

  • 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.

    Build the best marketing team user experience

    • Not accommodating to technical staff such as data science and engineering.

    • Limited perspective: Sees experimentation primarily with a marketing lens and focus elsewhere (e.g., content management and customer data).

  • Achieving the Vision
    Maximize decision-making velocity

    Build a comprehensive solution from the ground-up

    • Warehouse Native: Integrates with all the leading cloud data warehouses. Provides transparency, trustworthiness, control, and security.

    • Plan right: Includes team-level organization and performance scorecards, a full experiment report builder, as well as a knowledge repository so that learnings from past experiments may be referenced, compared, and re-used.

    • Self-serve with intuitive UI: From simple on-off flags to gradual rollouts & full-blown experiments.

    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.

    Growth through
    acquisition

    Acquisition strategy

    • Not Warehouse Native: Requires you to send your data externally to a warehouse for analysis. That’s inefficient and dangerous.

    • No planning capabilities: No comprehensive experimentation planning to build and manage a comprehensive experimentation strategy holistically.

    • Inadequate experimentation features

      • No experiment health diagnostics

      • No analysis tools

      • Can’t use metrics that matter.

    Inflexible: Proprietary stats engine (Harvard & Stanford, sequential testing), not flexible. 3rd-party integrations are cumbersome to set up.

    Expensive to get help: Required to purchase add-on services of data scientists and professional services.

Why is Warehouse-Native Critical?

  • Self-Serve Analysis

    Decrease analysis time with Eppo using same-day analysis, translating to a faster decision-making process.

  • Secure data

    Shipping key business metrics to a 3rd party is a non-starter. As Eppo is warehouse-native, that’s not an issue.

  • Minimize Costs

    Eppo eliminates redundancy in storage, reduces pipeline development and management, and reduces experimentation run-times.

  • Transparency, trustworthiness, & control

    Optimizely’s data processing is opaque, creating trust issues. Eppo instills trust with powerful controls and a single source of truth for both business reporting and experimentation data.

  • Discern the signal from the noise

    Eppo’s enterprise-scale Performance Scorecards let you measure aggregate impact, align teams around inputs and outputs, and more.

Eppo ensures cost-effectiveness

  • 1
    Storage

    Eppo doesn’t store your data separately. It’s already in your cloud data platform.

  • 2
    Reduces pipeline costs by 90%

    Eppo is hyper-optimized to your warehouse.

  • 3
    Reduce experiment operational costs

    Eppo shortens experiment runtime with CUPED++

The brands that use Eppo
  • ClickUp
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.

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