Optimizely vs Eppo

Quote on request

Quote on request

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

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

No free tier.

Free tier available for small teams.

Widely used

Optimizely · since 2010

Established

Eppo (Datadog) · since 2020

• 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.

• 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.

• 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.

• 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.

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

Data-mature organisations where experiment results must withstand scrutiny.