Kameleoon vs Optimizely

Kameleoon

The captured pages cover the full spread I run programmes across — graphic and code editors plus SDKs, server-side and mobile app testing, multivariate experiments, targeting on 40+ user properties, feature flags with progressive rollout, mutually exclusive groups and holdouts, and personalisation. It stops short of the top tier because most of this rests on the homepage and plans grids: we found no public information on documented SDK languages, multi-page tests, or edge delivery.

Optimizely

The pricing page promises "A/B, multi-page, feature and server-side testing" with real-time personalisation and audience targeting, which claims more than a client-side-only tool. But this is a marketing grid, not documentation: we found no public information on server-side SDKs, multivariate tests, mutually exclusive groups or holdouts, so I score the claim rather than mechanics I can verify.

Kameleoon

The plans page names sequential testing, multiple testing correction, automatic sample ratio mismatch detection and CUPED — the exact protections I need before a client's analyst or DPO — but they appear as feature names only. We found no public information naming the underlying statistical method, offering sample-size or duration guidance, or describing guardrail metrics that could stop a harmful test.

Optimizely

The only statistics evidence we found is "Proprietary Stats Engine for results you can trust" — a brand name, with the method itself unnamed and nothing on sample size, peeking or sample ratio mismatch. I cannot defend a winner declaration to a client on trust language alone.

Kameleoon

The privacy policy lists cookies and an opt-out, but that section concerns the vendor's own marketing site including an Adroll retargeting service, and we found no public information on what the testing script stores on a visitor's device, when it runs relative to consent, or whether a cookieless mode exists. The homepage instead markets bypassing Safari ITP and ad blockers, which no DPO I work with would welcome, and no consent-management integration is documented to offset it.

Optimizely

The consent documentation we found is general GDPR guidance for the customer collecting PII through forms — affirmative action, per-purpose consent, stored in a profile — which frames consent as the customer's obligation rather than describing the test script. We found no public information on when the experiment script runs relative to consent, what it stores on the device, or a cookieless mode, which is the first thing a client's DPO will ask.

Kameleoon

The plans page publishes one figure — a snippet that loads under 70 ms alongside 99.99% uptime — and that is the whole of the published record. We found no public information on script size, asynchronous loading, flicker handling, Core Web Vitals impact, or a self-hosting option, so I cannot estimate what a client's pages would actually pay for the snippet.

Optimizely

We found no public information on snippet weight, loading behaviour, flicker handling or any measured effect on Core Web Vitals. The only performance language on the captured pages concerns high-performance delivery of the CMS on.NET Core, which is a different product from the experiment snippet.

Kameleoon

This is the platform's strength: the documentation shows a real API with Bearer authentication and segment export, and a BigQuery integration working both ways — warehouse metrics displayed as KPIs on results pages and goals pulling conversion data from the warehouse on a schedule — alongside CDP integration and two-way data-warehouse sync. We found no public information on visitor-level raw data export or stated API limits, and the warehouse integration sits behind an unpriced premium add-on.

Optimizely

Warehouse-native analysis is documented in real depth — BigQuery, Snowflake, Redshift and Databricks connections with service-account permissions and roles spelled out — and that is the check-the-result-in-your-own-data story I look for. We found no public information on a documented API, visitor-level export, or export of experiment results, so it stays short of the top level despite the strong warehouse coverage.

Kameleoon

The contracting entity is French — RCS Aix-en-Provence, French law, Paris Commercial Court — storage is stated to be on EU servers, and the legal notice names Hetzner in Germany as host, which is a solid posture I can put in front of a client. It falls short of the top anchors because we found no public information on a published subprocessor list, a DPA covering the visitor data the script collects, or where the testing snippet itself is delivered from.

Optimizely

The vendor is Optimizely North America Inc with EU contracting entities available (Optimizely AB, and a Berlin-registered GmbH), the privacy notice relies on the EU-US Data Privacy Framework, and a hashed user ID may be shared with ad networks such as Google and Facebook. Data residency and ownership of visitor data are unstated, and recipients appear only as categories rather than a named subprocessor list — an EU entity on the contract is a different thing from EU processing of every visitor's behaviour.

Kameleoon

What is public amounts to a free 30-day trial with up to 3 experiments and an Enterprise tier priced as "Custom" with "Unlimited tested traffic"; the Starter tier lists add-ons like personalisation, mobile app testing and CUPED with no prices, and the data warehouse integration directs buyers to "Contact your Customer Success Manager". No traffic metric is defined on the public pages, so the annual invoice for a given client traffic level is not computable before the contract — the number I need before recommending a platform.

Optimizely

"Every Optimizely plan is individually packaged" through a contact form — we found no public prices, no traffic metric and no limits, so the invoice is unknowable before a sales conversation. The terms do publish real mechanics — overage fees at "two times (2x) Usage Volume unit price" invoiced monthly in arrears, twelve-month auto-renewal with ninety days' notice — but without a public unit price they help me assess risk, not budget a client's annual cost.