Eppo review (2026), pros, cons and pricing
- What it is
- Eppo is a warehouse-native experimentation and feature flag platform that Datadog bought in 2025 and now sells as Datadog Experiments.
- Best for
- Data teams at larger companies that want experiment results computed on source-of-truth metrics in their own warehouse, especially teams already on Datadog.
- Price
- From $450/month
- Free plan or trial
- Free trial
- Co-founder and CEO
- Che Sharma
- Headquarters before the deal
- San Francisco
- Owner
- Datadog, which announced the acquisition in May 2025. Terms weren't disclosed; TechCrunch cited a report of about $220M.
- Current product
- Datadog Experiments, powered by Eppo, generally available since April 2, 2026
- Supported warehouses
- Snowflake, BigQuery, Redshift, Databricks
- Customers named on its site
- DraftKings, ClickUp, Zapier, Miro, SeatGeek, Twitch
What happened to Eppo
Eppo was a San Francisco experimentation company led by co-founder and CEO Che Sharma. Datadog announced it had acquired Eppo in May 2025. Terms weren't disclosed, and TechCrunch cited a report putting the deal at about $220M. At first it ran as Eppo by Datadog. On April 2, 2026 Datadog launched Datadog Experiments, powered by Eppo, as a generally available product, and geteppo.com now says Eppo is Datadog Experiments. The Eppo docs site is still online under the Eppo by Datadog name.
How it works
Eppo sits on top of your data warehouse and supports Snowflake, BigQuery, Redshift and Databricks. You map exposure records and business metrics to it with SQL models, so results come from the same tables your data team already uses. In Datadog you can also build metrics from Product Analytics or RUM events, such as a count of events, unique users or the sum of a property.
Assignment runs through Datadog Feature Flags, where you pass a stable user ID as the targeting key, or through your own randomization in warehouse mode. You don't need Product Analytics to run experiments.
There's no point-and-click page editor. Eppo's docs describe no-code tests through JSON flags, where developers parameterize parts of a page once and then change values in Eppo without a release. A Contentful integration lets marketers create experiments on CMS content inside Contentful.
Stats
Datadog Experiments offers sequential frequentist, fixed-sample frequentist and Bayesian analysis. It adds CUPED++ variance reduction, a sample size calculator, automatic sample ratio mismatch detection and a Global Lift view that turns a targeted result into company-wide impact.
Inside Datadog
The Datadog version connects experiments to observability. If you use RUM, you can watch latency, errors and Core Web Vitals per variant to catch performance regressions, and open session replays from the results.
Revenue
There's no payment tool connector. Revenue metrics work if your Stripe or billing data already lands in your warehouse. If it doesn't, you need a pipeline first.
AI
Neither the Datadog Experiments product page nor its docs describe AI that suggests tests or writes variations.
Who it suits
It suits companies with a data warehouse, a data team and a few high-value experiments a month, especially if they already run Datadog. Customers named on geteppo.com include DraftKings, ClickUp, Zapier, Miro and Twitch. It's a poor fit for a small team that wants to test landing pages this week without writing SQL.
Pros and cons
What Eppo does well
- Warehouse native. Results come from SQL models over your Snowflake, BigQuery, Redshift or Databricks tables, so they match the numbers your data team already reports.
- Sequential, fixed-sample and Bayesian analysis, with CUPED++ variance reduction and automatic sample ratio mismatch checks.
- Unlimited seats, metrics and analyses, and you only pay for experiments that reach 500 subjects and 3 days of data.
- Inside Datadog, you can watch latency, errors and Core Web Vitals per variant and open session replays from results.
- You can keep your own flag system and analyze exposures from the warehouse, or run end to end on Datadog Feature Flags.
Where it falls short
- Expensive for small teams. One experiment a month costs $450 on an annual plan.
- No point-and-click page editor. Variants are built in code, set through JSON flags, or edited in Contentful through its integration.
- You need a data warehouse and people who can write SQL models to get the most from it.
- No payment tool integration. Revenue has to be in your warehouse first.
- The brand is in transition. Eppo is now Datadog Experiments, and the older Eppo site and docs still sit alongside the Datadog ones.
Outtest vs Eppo
Eppo, now Datadog Experiments, is built for data teams. It computes results from SQL models over your own warehouse, offers sequential, fixed-sample and Bayesian analysis with CUPED++, and inside Datadog ties each variant to performance data from RUM. Engineers build variants in code, and pricing starts at $450 per launched experiment a month on an annual plan.
Outtest is aimed at a different buyer. Its AI agents read your analytics and payment tools, find the biggest money leak, write the new version, run the test and call the winner on revenue per visitor, with no warehouse or SQL needed. It covers landing pages, pricing, trials and cancel flows, from $29 a month for 3 tests. Outtest is new, while Eppo names DraftKings, Zapier and Twitch among its customers.
| Outtest | Eppo | |
|---|---|---|
| Best for | Founders and small teams who want tests run for them and judged on real revenue, without a CRO specialist. | Data teams at larger companies that want experiment results computed on source-of-truth metrics in their own warehouse, especially teams already on Datadog. |
| Price | From $29/month (3 tests a month). 20% off yearly. | Eppo is now sold as Datadog Experiments at $450 per launched experiment a month billed annually, $530 month to month or $575 on demand. Datadog Feature Flags are free below 1M monthly flag configuration requests. |
| Free plan or trial | No free plan or trial | Free trial |
| AI builds the test versions | Yes | No |
| Judges tests on revenue from your payment tool | Yes | Partly |
| Visual editor | No | Partly |
| Server-side tests | Partly | Yes |
| Stats engine | Bayesian, on revenue per visitor | Both (sequential and fixed-sample frequentist, and Bayesian, with CUPED++) |
| Payment integrations | Stripe, Shopify, Paddle, Lemon Squeezy, Dodo Payments, Creem, RevenueCat, Chargebee | None listed |
Pick Eppo if
- You have a data warehouse and a data team that owns metric definitions.
- You already use Datadog and want experiments next to RUM, APM and product analytics.
- You want sequential and Bayesian options, CUPED++ and SRM checks for high-stakes product decisions.
- You want to keep your own feature flag system and analyze exposures from the warehouse.
- You run a handful of large experiments a month and unlimited seats matter more than the price per test.
Pick Outtest if
- You don't have a warehouse or SQL skills and want revenue straight from Stripe, Shopify, Paddle or another payment tool.
- You want to run several tests a month for less than the cost of one Datadog experiment.
- You want AI agents to find, build, run and call tests without engineers.
- You test marketing surfaces like landing pages, pricing, trial offers and cancel flows.
The verdict. Eppo, now Datadog Experiments, is a serious tool for data-led companies that want warehouse-native analysis and already live in Datadog. For a small SaaS or ecommerce team, $450 per experiment and the need for a warehouse are hard to justify. Outtest fits teams that want revenue-judged tests on marketing and pricing surfaces run for them, from $29 a month.
Questions people ask
Was Eppo acquired by Datadog?+
Yes. Datadog announced the acquisition in May 2025 and ran the product as Eppo by Datadog. On April 2, 2026 it launched Datadog Experiments, powered by Eppo, and geteppo.com now says Eppo is Datadog Experiments.
How much does Eppo cost?+
Eppo is now priced as Datadog Experiments at $450 per launched experiment a month billed annually, $530 month to month or $575 on demand. An experiment only counts once it reaches 500 subjects and 3 days of data, and seats are unlimited.
Does Eppo have a visual editor?+
Not a point-and-click page editor. Eppo's docs describe no-code tests through JSON flags that developers set up once, and a Contentful integration lets marketers build experiments on CMS content.
What stats does Eppo use?+
Datadog Experiments supports sequential frequentist, fixed-sample frequentist and Bayesian analysis, with CUPED++ variance reduction and automatic sample ratio mismatch checks.
Can Eppo measure revenue from Stripe?+
Only through your warehouse. There's no payment tool connector, so Stripe data has to land in Snowflake, BigQuery, Redshift or Databricks first. Outtest reads revenue from Stripe and other payment tools directly and judges every test on revenue per visitor.
Sources
Checked on 28 September 2026 from Eppo's own pages. Prices and features change; check Eppo's site before you buy.
- geteppo.com/
- geteppo.com/experimentation
- geteppo.com/contentful
- docs.geteppo.com/
- docs.geteppo.com/guides/advanced-experimentation/no-low-code-experiments/
- techcrunch.com/2025/05/05/datadog-acquires-eppo-a-feature-flagging-and-experimentation-platform/
- datadoghq.com/blog/datadog-acquires-eppo/
- datadoghq.com/about/latest-news/press-releases/datadog-experiments-launches/
- datadoghq.com/product/experiments/
- datadoghq.com/pricing/?product=experiments
- datadoghq.com/pricing/list/
- docs.datadoghq.com/experiments/
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