whats-best.ai

Conversion Optimization · head-to-head

Optimizely vs VWO

Optimizely

Rest of world

Panel rating

Sovereignty: 1 of 4 dimensions proven

Full evaluation →

VWO

Rest of world

Panel rating

Sovereignty: 1 of 4 dimensions proven

Full evaluation →

The written short answer is being updated after a re-evaluation. The scores below are current.

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

The Product Engineer

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.

Optimizely

VWO

This judge's pick

Criterion by criterion

Experiment types & delivery

Optimizely

The plans page lists A/B, multi-page, feature and server-side testing, a proprietary stats engine and real-time personalisation — but that is a feature grid, and the captured documentation gives me no SDK, no delivery detail and no server-side implementation to read. I score what I can verify, and here the grid claims more than the documentation shows.

VWO

The published feature lists cover visual and code editors, A/B/n, split and multivariate tests, single-page-app support, a personalisation module, and mutually exclusive groups on the top tier — a solid client-side programme. But everything I can see is a pricing-page feature grid: we found no public information on server-side SDKs, feature-flag delivery or edge distribution, and feature management appears only as a suite name. I land between a capable client-side tool and one programme across surfaces, weighted toward the client side.

Statistical method & guardrails

Optimizely

The only statistical statement anywhere is the plans page's "Proprietary Stats Engine for results you can trust"; we found no public information naming the method, sample-size or duration guidance, handling of peeking or multiple comparisons, or sample ratio mismatch detection. An engine I cannot see into deciding my winners is a claim, not a method.

VWO

Sample ratio mismatch detection and guardrail metrics are listed as Pro features and multi-armed bandit campaigns on the lower tier, so some statistical machinery clearly exists. But we found no public information naming the statistical method, showing confidence or credible intervals, sample-size guidance, or how peeking and multiple comparisons are handled. A feature grid is not a methodology a team can defend to a data scientist.

Consent & visitor tracking

Optimizely

The consent documentation is guidance for the customer on GDPR consent — affirmative action, per-purpose consent, storing consent in a user profile — rather than a statement of what the testing script stores or does before consent is given. We found no public information on cookies or storage keys set by the script, a consent-pending or cookieless mode, or consent management platform integration; the privacy notice's hashed user ID shared with social networks is the only word on visitor identifiers.

VWO

The privacy policy states outright that it applies only to the customer and not to the visitors of the customer's website, and the only visitor-facing provision I found is a tracking opt-out. We found no public information on what the test script stores on a device, whether it runs before consent, cookie or storage lifetimes, or integrations with consent management platforms. That leaves the §25 TDDDG questions unanswered on the vendor's own pages and shifted to the customer's paperwork.

Snippet performance & flicker

Optimizely

We found no public information on the snippet's weight, loading behaviour, flicker handling or Core Web Vitals impact — the captured pages say nothing measurable about the client-side script's cost to the page. For a script that runs on every visitor, that leaves me nothing to assess.

VWO

Self-hosting of the script appears as an enterprise feature and the CDN is described with named providers and ten edge locations, which is more than nothing. We found no public figures for script size or loading behaviour, and no information on flicker handling or Core Web Vitals impact. For a snippet that runs on every page, that silence is the story.

Analytics, data export & integrations

Optimizely

The strongest evidence in the set: documented warehouse connections to BigQuery, Snowflake, Databricks and Redshift with real setup detail — service accounts, custom roles, JSON keys — and warehouse-native analysis claimed on the plans page. But the documented flow is the customer's warehouse feeding Optimizely Analytics, and we found no public information on an API or on exporting visitor-level experiment results, which is what I need to re-check a winner in my own data.

VWO

Google Analytics is named, an integrations listing exists, Data Studio is a paid add-on, and API access is gated to the enterprise tier with no API documentation visible. Pull-based integrations and data platform access appear only as feature-list items. We found no public information on visitor-level export or streaming to a warehouse, so an experiment result stays a claim I cannot check in my own data.

European sovereignty

Optimizely

The contracting vendor is Optimizely North America Inc., with EU entities (Optimizely AB and a Berlin GmbH) in the group, the captured pages do not state hosting, and the privacy notice names only categories of recipients — payments, hosting, analytics, storage — rather than a subprocessor list. Transfers to the US rest on the Data Privacy Framework rather than EU processing of visitor data, so this sits at residency-as-an-arrangement with the subprocessor picture unpublished.

VWO

The privacy policy states all customer data is stored centrally in Washington DC and Dallas, the contracting entities are Wingify Software Pvt. Ltd. in India together with Wingify Inc., and we found no public information on subprocessors. The EU anchors are an Article 27 representative, offices in Hamburg and Palma, and standard contractual clauses on offer. For a script that records every EU visitor's behaviour, that footing is hard to put in front of legal.

Pricing transparency

Optimizely

The plans page is explicit: "Every Optimizely plan is individually packaged. Tell us a bit about your digital needs, and we'll create a plan together." The terms do publish mechanics — overage fees at two times the usage unit price invoiced monthly in arrears, twelve-month auto-renewal, ninety-day non-renewal notice — but with no public tier prices or usage volume pricing, the invoice remains a sales conversation.

VWO

Tier structure and included features are published, a free trial and free tools exist, and the traffic basis surfaces as monthly tracked users in a pricing question. But the pricing page states there are no fixed plans, only a custom proposal, and we found no price figures, traffic limits or overage terms on the captured pages — the annual invoice is not computable from public information. Wingz AI Core is free with all products while the Advanced tier is marked a paid upgrade with no figure shown.

Sovereignty, side by side

Dimension Optimizely VWO
Legal entity Incorporated in SE Not determined
Ownership Not determined Not determined
Data residency Not determined Not determined
Subprocessors Not determined US CLOUD Act reach

Facts, side by side

Only facts both products carry under the same definition — anything else would not be a fair row.

Integrations · Bigquery 4 · yes1

captured 1 Oct 2026 · Report an error

Google BigQuery · cloud_storage · push campaign data2

captured 1 Oct 2026 · Report an error