whats-best.ai

Conversion Optimization

Contentsquare

EU-Made Report an error

Panel rating · 6 judges · How to read the stars

Category median

Sovereignty: not determined

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

by Contentsquare SAS · contentsquare.com

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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

The captured pages treat testing as something Contentsquare measures rather than delivers: the product experimentation guide defines A/B, split, multivariate and funnel testing as methods and pairs them with heatmaps, journey analysis and surveys, while the documented way to monitor A/B tests is integration with AB Tasty, Omniconvert and Optimizely. The module list shows analytics, monitoring, voice of customer and conversation intelligence products, and the SDK documentation we captured covers SDK stability annotations, not experiment delivery. We found no public information on a visual editor, variant targeting, feature flags, mutually exclusive experiments or server-side delivery. 1 6 7

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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

We found no public information on how a winning variant would be decided — no named statistical method, confidence or credible intervals, sample-size or duration guidance, or protection against reading a test early. The experimentation guide describes methods without documenting any statistics, and nothing on the captured pages addresses peeking, multiple comparisons, sample ratio mismatch or guardrail metrics. 1 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

This is the best-evidenced area: the web tag is documented at 2.5 KB compressed, delivered from the vendor CDN with a defer attribute and a 15-minute browser cache, and the docs publish measured impact ranges — 0 to 50 milliseconds of Total Blocking Time on desktop, 25 to 100 on mobile — with an explicit statement of which Core Web Vitals are and are not affected and requests typically under 500 bytes; the mobile SDK gets installed size, RAM, CPU and batch figures with test conditions. We found no public information on a self-hosting or first-party-domain option for the script, or on tooling that shows a customer what their own configuration costs the page. 10 11

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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

The warehouse story is real: Data Connect syncs behavioural, performance and error data to Snowflake, BigQuery, Databricks, Redshift or S3 as query-ready datasets with retroactive backfill, so a team can compute metrics next to CRM and purchase history instead of trusting the dashboard. There is a documented API in the developer docs for building integrations, connectors for Google Analytics, Adobe Analytics and Piano, segment syncing to marketing automation platforms, and stated tool-call limits per plan for the AI agent. We found no public information on metrics defined once and computed exclusively in the customer's warehouse, or on a versioned API a team could build programme tooling on. 2 9 12 13

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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 confirmed facts are a French parent company, Content Square SAS, a published data processing agreement with Standard Contractual Clauses incorporated, and a thirteen-month visitor-data retention commitment — an EU-flavoured legal posture. However, the contracting entity's jurisdiction could not be confirmed from the captured pages, and we found no public information on where visitor data is hosted, where the CDN that delivers the tag operates, or any published subprocessor list. Because the tag runs on every visitor and sets 13-month identifiers, those gaps matter more here than in a tool that only holds a team's own data. 4 5 9 11

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Pricing transparency

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

A free tier at $0 and one published product price — Voice of Customer Growth at $79 for 500 monthly responses — sit on a pricing page that defines the traffic metric as monthly sessions with ranges per plan and offers a slider to estimate cost, but the analytics products themselves read 'Let's talk'. The terms fill in the mechanics — annual invoicing in advance, over-usage billed annually in arrears at the vendor's then-applicable rate, renewal increases capped at the greater of 3% or CPI, taxes excluded, non-cancellable order forms — without publishing the rates. A buyer cannot derive a real annual invoice from public pages, and we found no public information on the price of the Data Connect or Sense Analyst add-ons. 2 4

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European sovereignty — proven facts

0 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.

Ownership Not determined — uncited Report an error
Data residency Not determined — uncited Report an error
Subprocessors Not determined — uncited Report an error

Where this could be wrong

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.

Sources (13)

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

  1. 1 Vendor homepage contentsquare.com Checked 22 Sep 2026 Details →
  2. 2 Pricing page contentsquare.com Checked 22 Sep 2026 Details →
  3. 3 Privacy policy contentsquare.com Checked 22 Sep 2026 Details →
  4. 4 Terms of service contentsquare.com Checked 22 Sep 2026 Details →
  5. 5 Legal notice contentsquare.com Checked 30 Sep 2026 Details →
  6. 6 Experiment types & delivery — found from sitemap docs.contentsquare.com Checked 1 Oct 2026 Details →
  7. 7 Experiment types & delivery — found from sitemap contentsquare.com Checked 1 Oct 2026 Details →
  8. 8 Consent & visitor tracking — found from sitemap contentsquare.com Checked 1 Oct 2026 Details →
  9. 9 Consent & visitor tracking — found from sitemap docs.contentsquare.com Checked 1 Oct 2026 Details →
  10. 10 Snippet performance & flicker — found from sitemap docs.contentsquare.com Checked 1 Oct 2026 Details →
  11. 11 Snippet performance & flicker — found from sitemap docs.contentsquare.com Checked 1 Oct 2026 Details →
  12. 12 Analytics, data export & integrations — found from sitemap docs.contentsquare.com Checked 1 Oct 2026 Details →
  13. 13 Analytics, data export & integrations — found from sitemap contentsquare.com Checked 1 Oct 2026 Details →