Eppo vs Optimizely

Quote on request

Quote on request

Quote-based, generally aimed at companies with a data team and a warehouse already in place.

Enterprise annual contracts, commonly in the tens of thousands and up. Priced by traffic and modules.

Free tier available for small teams.

No free tier.

Established

Eppo (Datadog) · since 2020

Widely used

Optimizely · since 2010

• Statistically rigorous — sequential testing, CUPED and diagnostics are core, not add-ons.
• Metrics defined once in the warehouse and reused across every experiment.
• dbt integration fits existing analytics engineering workflows.

• The most capable visual editor for non-technical experiment authoring.
• Deep personalisation and audience-targeting features.
• Established statistics with sequential testing, so peeking is handled correctly.

• Requires a warehouse and a data team; not usable by a product manager alone.
• Feature-flagging capability is lighter than dedicated flag platforms.
• Now part of Datadog, which changes the strategic picture.

• Expensive, with a suite-oriented sales motion that pushes adjacent products.
• Client-side testing causes flicker and is increasingly blocked by browsers and blockers.
• Heavyweight for teams that only need a handful of experiments.

Data-mature organisations where experiment results must withstand scrutiny.

Large marketing organisations running continuous experimentation on high-traffic sites.