Conversion Optimization

Eppo

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Panel rating · 6 judges · How to read the stars

Category median

Sovereignty: 1 of 4 dimensions proven

0–5 in half steps. 5 means the rubric's top anchor is met on the evidence.

An AI-assisted analysis of public evidence — not a hands-on test.

Every score, rationale and verdict on this page is AI-generated. Every claim cites the source it was read from. Nothing here is a human star review — and no score can be bought. How scores are made →

Method and versions

The Growth Lead v1.0 · The E-Commerce Manager v1.0 · The Product Engineer v1.0 · The CRO Consultant v1.0 · The Data Protection Officer v1.0 · The Skeptic v1.0 · rubric v1 · evaluated 5 Oct 2026

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Read this page as one judge. Each weighs the same scores by what they care about.

The Product Engineer

Weighted verdict

Ships experiments behind feature flags and would rather not ship a third-party script at all. Wants server-side SDKs for the stack in use, edge delivery, metrics computed in the warehouse the team already trusts, and an API good enough to build internal tooling on.

Same scores as the panel view — this lens weights them the way this judge cares.

Scored by The Product Engineer

Experiment types & delivery

How this is scored

What can be tested and where: client-side changes through an editor, server-side and feature experiments through SDKs, multivariate and multi-page tests, and personalisation — judged on what the documentation shows rather than on the feature grid.

0 — Simple A/B split of one page element through a visual editor; no server-side option, no targeting beyond URL.

3 — Client-side A/B and split-URL tests with basic audience targeting, and no SDK or server-side delivery.

5 — Client-side and server-side experiments through documented SDKs for common languages, multivariate and multi-page tests, audience targeting on behaviour and attributes, and rule-based personalisation.

8 — Feature-flag-based experiments sharing one audience and metric model with web tests, mutually exclusive experiment groups, holdouts, edge or CDN delivery, and personalisation that can itself be tested against a control.

10 — One experimentation programme across every surface: web, app, server and edge from the same platform, experiment interactions managed, a documented experiment lifecycle from hypothesis to archived result, and a library of past results a team can search.

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The Product Engineer

Feature-flag-based experiments, controlled rollouts and kill switches share one platform with A/B tests, mutual exclusion layers and global holdouts, served through SDKs spanning JavaScript, Node, Python, Java,.NET, PHP, Go, Rust and mobile, with configs published to a CDN instead of a real-time API call — that is the shape I want to build on. Contextual bandits cover personalisation. I found no public information showing the personalisation can itself be tested against a control, nor any documented audience-targeting model. 1 4

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Statistical method & guardrails

How this is scored

Which statistics decide the winner and what protects the customer from misreading them. Scored on what the vendor documents: the method by name, how peeking and multiple comparisons are handled, and whether sample ratio mismatch is detected.

0 — A "winner" or "probability to beat" figure with no documented method, no stated sample-size guidance and no warning against stopping early.

3 — The method is named (frequentist or Bayesian) but its assumptions are not documented, and nothing prevents a test from being called while it is still underpowered.

5 — Documented method with confidence or credible intervals, a sample-size or test-duration calculator, and stated guidance on when a result may be read.

8 — Sequential testing or an equivalent documented protection against peeking, correction for multiple metrics or variants, sample ratio mismatch detection, variance reduction such as CUPED, and guardrail metrics that can stop a harmful test.

10 — The statistics are auditable: methodology published in enough detail to reproduce a result, the choice of method explained per use case, raw per-visitor data available for independent re-analysis, and the interface refuses to present an underpowered result as a conclusion.

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The Product Engineer

Sequential, fixed-sample and Bayesian frameworks are all named, CUPED variance reduction is documented as shortening runtime, and non-inferiority testing with guardrail cutoffs exists — real machinery, not a probability-to-beat badge. But I found no public information on sample ratio mismatch detection, on correction for multiple metrics or variants, or on sample-size and duration guidance beyond an unexplained Experiment Forecasts mention. 1 6 7

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Consent & visitor tracking

How this is scored

Whether the test script respects §25 TDDDG and the ePrivacy rules as evidenced on the vendor's own pages: when the script runs relative to consent, what it stores on the device, whether a cookieless or consent-free mode exists, and how visitor identifiers are handled.

0 — Nothing on the vendor's pages says what the script stores on the device or whether it runs before consent; consent is described as the customer's problem.

3 — Cookies or local storage are listed, and a consent integration is mentioned, but the documentation does not say what the script does before consent is given.

5 — Documented behaviour before and after consent, integration with common consent management platforms, a published list of cookies and storage keys with their lifetime, and IP anonymisation described.

8 — A documented consent-pending mode that holds tracking until consent while variants can still be served, a cookieless or first-party-only option, retention of visitor data stated, and guidance on the legal basis for testing in the EU.

10 — Built for §25 TDDDG: the default configuration stores nothing on the device without consent, a server-side or cookieless mode documented end to end, per-visitor data deletable on request, and the vendor states in writing how each mode maps to consent requirements.

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The Product Engineer

The only cookie and tracking material I found is the vendor's own privacy notice for its own website — beacons, pixels and tags, a referenced cookie notice, and a statement that DNT signals are not answered — plus a bare "Easy compliance with GDPR" claim. I found no public information on what a deployed assignment integration stores on a visitor's device, whether anything runs before consent, or how visitor identifiers are handled. 2 7

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Snippet performance & flicker

How this is scored

The cost the client-side snippet imposes on the page it tests: blocking load, flicker of original content, script weight and the effect on Core Web Vitals — scored on what the vendor measures and publishes, not on "lightning fast".

0 — A synchronous snippet with no stated size, no flicker handling and no mention of performance.

3 — An anti-flicker snippet that hides the page until the test loads, with a timeout, and no published figures for script size or load cost.

5 — Script size and loading behaviour documented, asynchronous loading option, flicker handling explained with its trade-off, and CDN delivery of the snippet.

8 — Published performance figures including impact on Core Web Vitals, a self-hosting or first-party-domain option for the script, per-project bundles containing only active experiments, and a server-side or edge alternative for flicker-sensitive tests.

10 — Performance is a stated commitment: measured overhead published and maintained, flicker eliminated by edge or server-side rendering as a documented path, and tooling that shows the customer what their own configuration costs the page.

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The Product Engineer

The delivery architecture is documented — configs published to a CDN with redundancy across application, CDN and local cache, and no real-time reliance on the vendor's API — but that is resilience, not measurement. No published figures on script weight, load cost, flicker handling or Core Web Vitals appear on any captured page, and "fastest, most resilient" is a claim, not a number. 1 4

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Analytics, data export & integrations

How this is scored

Getting results and raw data out: integration with analytics and tag management, export of visitor-level results, warehouse-native analysis, and an API — because an experiment result that cannot be checked in the customer's own data is a claim, not a finding.

0 — Results visible in the vendor's dashboard only; no export, no analytics integration, no API.

3 — CSV export of aggregated results and one analytics integration, with no visitor-level data and no documented API.

5 — Integrations with common analytics and tag managers, export of results, and a documented API for managing experiments and reading results.

8 — Visitor-level raw data export or streaming to a data warehouse, warehouse-native analysis on the customer's own metrics, CDP integration for audiences, and an API with stated limits.

10 — The platform treats the customer's warehouse as the source of truth: metrics defined once and computed there, full historical experiment data exportable in open formats, and a versioned API a team can build its own programme tooling on.

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The Product Engineer

This is the model I would actually buy: metrics computed entirely in the customer's own cloud on Snowflake, Databricks, BigQuery or Redshift, single source of truth with no data duplication, daily incremental pipelines, and metric definitions owned by the data team with version control and a semantic layer. The gap is the API — I found no public information on a documented API, its limits or versioning, which is what I would need to build internal programme tooling on top. 1 7

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European sovereignty

How this is scored

Where visitor data is processed and stored and who the contracting entity is. Independently sourced by the sovereignty pipeline; weighted higher here than in categories that hold only the customer's own data, because the script runs on every visitor to the customer's site and their behaviour is what the platform records.

0 — Non-EU vendor and contracting entity, hosting unstated, subprocessors unnamed, and visitor data leaving the EU without a stated safeguard.

3 — EU data residency offered as an option or an enterprise add-on while the contracting entity is non-EU, or the subprocessor list is absent.

5 — EU processing of visitor data as standard and an EU contracting entity, but parts of the chain — CDN, support access, analytics — are non-EU without an explained safeguard.

8 — EU hosting on named infrastructure including the delivery of the snippet, EU contracting entity, subprocessor list published, and a DPA covering the visitor data the script collects.

10 — Sovereign end to end and evidenced: vendor, entity, hosting, snippet delivery and every subprocessor European, certification published, and no visitor data reaching a non-EU party at any point.

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The Product Engineer

The contracting chain is American on its face — Eppo Data, Inc. at 435 Brannan St, San Francisco, with use governed by Datadog's master subscription agreement and billing through Datadog — and I found no public information on where the hosted service processes data or which subprocessors are involved, only unnamed categories in the privacy notice. The one mitigation in evidence is architectural: experiment metrics are computed in the customer's own cloud. 2 3 7

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Pricing transparency not rated — the vendor publishes no price

How this is scored

A category priced by traffic — monthly tracked users, visitors or impressions — where the tier a site lands in depends on numbers the buyer has to estimate. Whether a buyer can compute the real annual cost including traffic limits, overage, server-side or personalisation modules and seats — from public pages alone.

0 — No public prices at all; every tier is a sales conversation.

3 — A starting price or a free tier exists, but the traffic metric, the limits and what happens above them are unstated — the invoice is unknowable.

5 — Tier prices public with the traffic metric and its limits defined, but at least one commonly needed piece (server-side SDKs, personalisation, overage) is unpriced or "contact sales".

8 — Every tier priced publicly with the traffic metric defined, limits, overage rates, module prices, minimum term and VAT treatment stated.

10 — Complete price computability: annual invoice derivable for a given traffic volume, set of modules and team size, with overage and every add-on published.

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The Product Engineer

No public prices at all: the terms describe an Order-based subscription that does not automatically renew, with support included at no additional charge, but no tier, traffic metric, limit or overage rate appears on any captured page. Every number is a sales conversation. 3

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European sovereignty — proven facts

1 of 4 dimensions proven

Built only from facts shown on the vendor's own pages. A dimension we could not prove is left open, not scored as zero.

Legal entity	Not determined	—	uncited Report an error
Ownership	Foreign-controlled ⚠ unverified	0/2 pts	1 Report an error
Data residency	Not determined	—	uncited Report an error
Subprocessors	Not determined	—	uncited Report an error

Where this could be wrong

Evidence ages. The oldest capture behind this page is from 22 Sep 2026. Vendors change pricing and policies without notice; every fact reflects its source as of the capture date shown in the registry.
Weak sourcing — Ownership. The page states the acquisition by Datadog but not Datadog's domicile or listing status; Datadog is a US-headquartered company (per its own MSA/trust links), so this is non-EU control, though the excerpt alone does not say where Datadog sits.
AI can misread a source. Extraction and judgement are automated; a citation guarantees traceability, not infallibility. If something here is wrong, say so — no account needed, every report is decided within 5 business days, and accepted corrections are published.

What we left out

A claim that does not survive our checks costs us the claim, not the page. This is what was taken off this one.

2 legal facts could not be confirmed on the vendor’s page as captured and were left out of this page and of the panel’s material. Know more? Tell us
2 product facts could not be confirmed on the vendor’s page as captured and were left out of this page and of the panel’s material. Know more? Tell us
1 compliance fact could not be confirmed on the vendor’s page as captured and was left out of this page and of the panel’s material. Know more? Tell us

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Sources (8)

The pages every claim on this page was read from — each one checked, dated, and kept verifiable.

1 Vendor homepage www.geteppo.com Checked 22 Sep 2026 Details →
2 Privacy policy www.geteppo.com Checked 22 Sep 2026 Details →
3 Terms of service www.geteppo.com Checked 22 Sep 2026 Details →
4 Experiment types & delivery — found from sitemap www.geteppo.com Checked 1 Oct 2026 Details →
5 Experiment types & delivery — found from sitemap www.geteppo.com Checked 1 Oct 2026 Details →
6 Snippet performance & flicker — found from sitemap www.geteppo.com Checked 1 Oct 2026 Details →
7 Analytics, data export & integrations — found from sitemap www.geteppo.com Checked 1 Oct 2026 Details →
8 Analytics, data export & integrations — found from sitemap www.geteppo.com Checked 1 Oct 2026 Details →