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From idea to rollout, in one tool.Product overview

Prepare

Decide

Roll out

Scale

Visual editorBuild the variant without a developer, with the assistant.Test plan and durationDuration calculated before the first visitor.IdeasEach idea estimated from your past tests.Metrics and marginNo-code goals, margin calculated from your orders.

ReportsA one-sentence verdict, with revenue and margin in euros.Session recordings and click mapsSee what visitors do with each variant.GuardrailsA test that breaks something stops on its own.

RolloutsStep by step, with automatic rollback.PersonalizationAn experience for one audience, measured against a holdout.Feature flagsTurn a feature on by rule, and off in one click.

Learnings libraryThe effects of your finished tests, on one scale.Installation and integrationsTwo lines of code, in the browser or on the server.Team and governanceRoles, launch approvals, and an audit log.

Explore the demo Pricing

The rules behind every verdict, set before launch.The full method

The method, step by step

How Probant decides The peeking trap The winner’s curse The statistics engine Glossary Verify a report

MethodThe winner’s curseWhy the reported gain is too good, on average.See the correction

Revenue per visitor · Free shipping progress bar

Measured lift+6.0%

After correction+4.9%

+€125,700per month after correction, instead of +€153,300

Corrected using the demo store’s 48 finished tests.

Rerun the simulation with your own number of tests and duration.A/A simulator

By site area and by team.All use cases

You are…

Know what pays off, without a statistician.

The features that matter to you:

ReportsA one-sentence verdict, with revenue and margin in euros.Metrics and marginNo-code goals, margin calculated from your orders.Visual editorBuild the variant without a developer, with the assistant.See the use case

Cart · demo storeFree shipping progress barConclusive. Proven gain+€125,700 per month · revenue per visitor +6.0%, range +2.2% to +10.0%

Computed by the engine on a demo test.

By site areaCart and shipping Product page Checkout Mobile navigation Category pages

Explore the demo

Blog, docs, and tools.All resources

A/A simulatorSee for yourself what peeking costs.Why checking a test every day produces false winners.Run the simulator

BlogMethod, measurement, and lessons learned.

Nov 12What is an A/B test? Definition, steps, and an example Nov 7Measure margin, not just revenue Nov 7The winner’s curse: why the announced gain falls short

Duration calculatorHow many days it takes to detect the effect you want.DocumentationInstall the script, handle consent, send events.Video tutorialsInstall, launch a test, and read a report, on video.ComparisonsProbant vs. other tools, with sources.AB TastyKameleoonVWOOptimizelyAdobe TargetDynamic Yield+11 more

ChangelogWhat changed in Probant, by date.Case study formatContext, test, result, and decision, on the demo store.Migrate to ProbantImport your AB Tasty, VWO, or Kameleoon history, recalculated by Probant.

Articles, docs, and calculators, free to use.

One fixed monthly price, no overage charges.See pricing

How many visitors do you test each month?

A tested visitor is each unique visitor who sees a test or a rollout during the month. It’s the only thing that sets the price.

Billing

Your planEssential€590/monthor €5,900 per yearFor a store that tests continuously, down to revenue per visitor.

Up to 250,000 tested visitors per month
All features, unlimited tests within your volume
No overage charges

Choose Essential

Your bill never goes over your plan. Once you reach the volume, running tests keep going.Billing questions

Félix Boittin.

Fondateur de Probant, consultant en web analytics et CRO

Profil LinkedIn

Félix Boittin, fondateur de Probant

Parcours.

Félix Boittin a créé Probant. Il mesure des parcours et des conversions depuis 2020: d’abord comme développeur et consultant indépendant, en installant le suivi de sites vitrines et marchands, puis comme chef de projet web analytics dans l’industrie, et, depuis 2022, comme consultant en web analytics et CRO dans un cabinet de conseil en data, à Paris.

Pour des marques du luxe et de la grande distribution, il conçoit des plans de marquage et en vérifie l’installation, analyse les tunnels de conversion et les frictions des parcours, sur le web et dans les applications, et en tire des pistes d’optimisation classées. Il forme aussi les équipes aux outils d’analyse comportementale.

Formation et certifications: MSc Digital Marketing & Data Analytics, OMNES Education (2022)
Licence information et communication, université Rennes 2 (2020)
Certifications Google Analytics, Google Ads (Search et Measurement) et AT Internet
Domaines: Web analytics, Optimisation du taux de conversion (CRO), Test A/B, Plan de marquage, Analyse des parcours et des tunnels de conversion, Analyse comportementale

Ses articles.

What is an A/B test? Definition, steps, and an example
An A/B test compares two versions of a page on randomly assigned visitors. Definition, steps, duration, reading the result, and common mistakes.
Checking a test every day manufactures winners
A difference that looks significant one day can vanish the next. What peeking really costs, measured on simulated A/A tests.
The winner’s curse: why the announced gain falls short
On average, the winner of a test overstates its effect. How to correct for it before you promise a number to anyone.
Measure margin, not just revenue
Revenue and margin don’t always move together. The free-shipping example shows how a test can grow sales and still shrink profit.

Conclusive Or not yet…

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