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Marketing · head to head

AB Tasty vs Eppo

AB Tasty logo

AB Tasty

Marketing

Conversion optimization platform

From
€500/month
Rated
-
Full reviewWebsite
Eppo logo

Eppo

Testing

Warehouse-native experimentation and feature flagging, now sold as Datadog Experiments

From
On request
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: AB Tasty no transparent pricing published; requires custom sales conversation for any quote; Eppo datadog acquired Eppo in May 2025 and is folding it into Datadog Experiments, so you are now buying a component of an observability suite rather than an independent product, and roadmap priorities will follow Datadog’s bundle strategy.
  • They diverge on capability: AB Tasty covers A/B testing, Eppo covers Warehouse-native analysis.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which AB Tasty and Eppo actually diverge.

Attributes where AB Tasty and Eppo differ
AttributeAB TastyEppo
Starting price€500/monthOn request
PlatformsWebWeb, Cloud
CategoryMarketingTesting
Founded2011Unknown

Identical on both: pricing model (quote), free tier (No), user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in AB Tasty

  • A/B testing
  • Multivariate testing
  • Personalization
  • Visual editor
  • Google Analytics
  • Salesforce
  • SSL encryption
  • Cloud deployment

Only in Eppo

  • Warehouse-native analysis
  • Sequential testing
  • CUPED variance reduction
  • Feature flagging
  • Metric governance
  • Contextual bandits
  • Experiment scorecards
  • Heterogeneous effect analysis

What people use each for

The jobs each tool is most often brought in to do.

AB Tasty

  • A/B and multivariate testing on web and mobilenot Eppo
  • Feature flagging and progressive rolloutsnot Eppo
  • Personalising content for identified and anonymous visitorsnot Eppo
  • Search, recommendations and merchandising for ecommercenot Eppo
  • Conversion optimisation experiments across channelsnot Eppo

Eppo

  • A company whose experiment results have repeatedly disagreed with the analytics team’s own numbers because the two systems define revenue differentlynot AB Tasty
  • A product organisation with low traffic on a key surface that needs variance reduction to reach a decision in weeks instead of monthsnot AB Tasty
  • A team that must keep user-level event data inside its own warehouse for regulatory reasons and cannot ship it to a third-party analytics vendornot AB Tasty
  • An existing Datadog customer consolidating product analytics, feature flags and experimentation onto one vendor agreementnot AB Tasty

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

AB Tasty

  • No transparent pricing published; requires custom sales conversation for any quote
  • Pricing determined by traffic volume, number of domains, and selected modules
  • No fixed pricing plans available; all customers receive individualized proposals

Eppo

  • Datadog acquired Eppo in May 2025 and is folding it into Datadog Experiments, so you are now buying a component of an observability suite rather than an independent product, and roadmap priorities will follow Datadog’s bundle strategy.
  • No pricing is published anywhere, before or after the acquisition; the site offers only a demo request, so cost cannot be estimated without a sales process and is likely to be quoted alongside a wider Datadog contract.
  • Because analysis runs in your warehouse, Eppo shifts compute cost onto your Snowflake or BigQuery bill; a large experiment programme with frequent recomputation raises a line item that does not appear in the Eppo quote at all.
  • Results are only as fresh as the pipeline feeding the warehouse, so teams used to near-real-time dashboards from an event-based tool will wait hours for updated numbers, which slows down the fast iteration loops some product teams rely on.
  • It assumes a mature data stack with a warehouse, defined metrics and analysts who can maintain them; an organisation without that has to build the data foundation first, which makes the real adoption cost far larger than the licence.

Pricing, plan by plan

AB Tasty

€500/month
  • Standard$500/month
    • A/B testing
    • Basic personalization
    • Analytics

Eppo

On request
  • Eppo, now Datadog Experiments$undefined/year
    • Warehouse-native experiment analysis
    • Feature flagging and assignment
    • Sequential testing and CUPED variance reduction

Which should you pick?

Choose AB Tasty if

  • You need a/b testing.
  • You also want multivariate testing.
AB Tasty review

Choose Eppo if

  • You need warehouse-native analysis.
  • You work on Web, Cloud.
  • You also want sequential testing.
Eppo review

Questions people ask

Is AB Tasty or Eppo better?
Neither clearly leads. AB Tasty starts at €500/month and Eppo at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, AB Tasty or Eppo?
AB Tasty starts at €500/month and Eppo at On request.
Does AB Tasty or Eppo run on more platforms?
AB Tasty runs on Web. Eppo runs on Web, Cloud.
What is AB Tasty best used for?
AB Tasty is most often used for a/b and multivariate testing on web and mobile, feature flagging and progressive rollouts, personalising content for identified and anonymous visitors, search, recommendations and merchandising for ecommerce. Of those, a/b and multivariate testing on web and mobile and feature flagging and progressive rollouts are not what Eppo is typically brought in for.
What can AB Tasty do that Eppo cannot?
AB Tasty covers A/B testing, Multivariate testing, Personalization, Visual editor. Eppo covers Warehouse-native analysis, Sequential testing, CUPED variance reduction, Feature flagging.

Answered from the vendors’ own pages

AB Tasty: How does AB Tasty calculate pricing?

AB Tasty pricing is customized based on average traffic over the past 12 months or monthly active users (MAUs). The vendor does not offer fixed pricing plans and instead builds custom proposals around each customer's business goals and scope.

Source
Eppo: Is Eppo still a separate product?

It is still sold and supported, but Datadog acquired it in May 2025 and it is branded as Datadog Experiments. Buy it expecting a Datadog product roadmap.

AB Tasty: What factors affect AB Tasty pricing besides traffic volume?

Pricing is customized based on traffic volume, number of domains, selected modules, and implementation scope. All pricing includes platform access, onboarding, training, and support with no hidden fees or surprise overage charges.

Source
Eppo: What does it cost?

Nothing is published. There is no pricing page, only a demo request, and pricing is now likely bundled into a Datadog agreement.

AB Tasty: Does AB Tasty offer a free trial or proof of concept?

AB Tasty does not offer a traditional free trial. Instead, the vendor provides a free proof of concept evaluation typically lasting 1 to 2 weeks to assess platform fit before purchase commitment.

Source
Eppo: Does it need a data warehouse?

Yes. Warehouse-native analysis is the whole architecture. Without Snowflake, BigQuery, Redshift or Databricks there is no product.

Eppo: Does it include feature flags?

Yes. Assignment and measurement come from the same system, which is the main reason teams pick it over pairing a flag tool with a separate analysis tool.

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