---
title: About UserJournAI – Behavioral AI, personas and privacy-first activation
description: "Découvrez la vision de UserJournAI : une nouvelle génération d’intelligence comportementale pour comprendre, tester, activer et mesurer les audiences à partir de comportements observables, dans une approche privacy-first."
image: https://userjournai.com/hs-fs/hubfs/6-Mar-24-2025-09-52-45-8749-AM.png
---

[![UserJournAI](data:image/png;base64,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)](https://userjournai.com/en/home?hsLang=en)

- [Platform](https://userjournai.com/en/platform?hsLang=en)
- [How it works](https://userjournai.com/en/how-it-works?hsLang=en)
- [Use cases](https://userjournai.com/en/use-cases?hsLang=en) 
    - [Retail](https://userjournai.com/en/use-cases/retail?hsLang=en)
    - [E-commerce](https://userjournai.com/en/use-cases/e-commerce?hsLang=en)
    - [Media agencies](https://userjournai.com/en/use-cases/media-agencies?hsLang=en)
    - [DOOH](https://userjournai.com/en/use-cases/dooh?hsLang=en)
- [Resources](https://userjournai.com/en/blog?hsLang=en)

[FR](https://userjournai.com/fr/nous-sommes-user-journai) [EN](https://userjournai.com/en/about) 

[Platform access](https://platform.userjournai.com) [Request a demo](https://userjournai.com/en/contact?hsLang=en)

[Platform](https://userjournai.com/en/platform?hsLang=en) [How it works](https://userjournai.com/en/how-it-works?hsLang=en)

Use cases

[Overview](https://userjournai.com/en/use-cases?hsLang=en) [Retail](https://userjournai.com/en/use-cases/retail?hsLang=en) [E-commerce](https://userjournai.com/en/use-cases/e-commerce?hsLang=en) [Media agencies](https://userjournai.com/en/use-cases/media-agencies?hsLang=en) [DOOH](https://userjournai.com/en/use-cases/dooh?hsLang=en)

[Resources](https://userjournai.com/en/blog?hsLang=en)

[Request a demo](https://userjournai.com/en/contact?hsLang=en) [Platform access](https://platform.userjournai.com)

About UserJournAI

# We are building a new generation d’intelligence comportementale

UserJournAI helps brands, agencies and media owners understand, test, activate and measure audiences using observable behavior, probabilistic personas and models designed for a privacy-first marketing environment.

IA comportementale Probabilistic personas Privacy-first Validation before activation Media activation

[Request a demo](https://userjournai.com/en/contact?hsLang=en)[Discover the platform](https://userjournai.com/en/platform?hsLang=en)

---

Why UserJournAI exists

## Marketing needs a new way to understand audiences

Audiences are fragmenting, signals are becoming scattered, media environments are growing more complex and models based on individual identification are becoming less sustainable.

Brands continue to invest heavily to reach the right audiences, but activation decisions still often rely on overly broad segments, untested assumptions or signals that are difficult to connect to real behavior.

In this context, the challenge is no longer simply to distribute more. Teams need to better understand what motivates an audience, test scenarios before activation and then measure the real impact of campaigns.

More fragmented audiences that are harder to interpret.

A historical dependence on third-party cookies and individual identifiers.

Une saturation publicitaire qui impose plus de pertinence dans les messages.

A need to connect media activation more clearly to observable behavior.

Move from assumed marketing to validated marketing

Theoretical segment

→

Audience qualified through observable behavior

Message chosen by intuition

→

Message tested before activation

Individual profile

→

Probabilistic audience persona

Isolated performance

→

Impact connected to observable behavior

Our belief

## Brands should no longer simply launch campaigns. They must validate before activating.

We believe the next generation of marketing tools must help teams understand behavior, simulate reactions, prioritize audiences and measure real impact.

01

### Understand

Identify observable behavior, interest signals, contexts and dynamics that structure audiences.

02

### Test

Generate probabilistic personas, interact with them and compare messages or scenarios before launch.

03

### Activate & measure

Transform qualified audiences into activatable segments, then connect campaigns to concrete performance indicators.

What we are building

## A platform that turns signals into marketing decisions

UserJournAI transforms aggregated signals into qualified audiences, personas, tests, activations and measurements usable by marketing and media teams.

01

### Aggregated signals

Collect and structure behavioral, territorial, contextual and interest signals at a collective scale.

02

### Qualified audiences

Identify the most relevant audiences based on their observable behavior, affinities and likely intentions.

03

### Probabilistic personas

Generate personas to explore audience motivations, barriers, expectations and likely reactions.

04

### Tests before activation

Compare messages, offers, creative angles or scenarios to reduce uncertainty before launch.

05

### Media activation

Transform qualified segments into activatable audiences on channels aligned with campaign objectives.

06

### Impact measurement

Connect activations to observable behavior and business indicators: exposure, visits, conversion or performance.

Behavioral digital twins

## A new way to explore audiences

Behavioral digital twins are not copies of individuals. They are probabilistic models representing audiences, collective behavior and potential reactions.

01

### Collective

The models represent audience dynamics, not identifiable individuals.

02

### Probabilistic

They make it possible to explore likely trends, intentions and reactions without claiming to predict an individual.

03

### Actionable

They are used to test marketing hypotheses, compare scenarios and prioritize activations.

Privacy-first

## Understand behavior without relying on individual identifiers

UserJournAI is designed to operate in an environment where marketing must reduce its dependence on third-party cookies and individual tracking logic.

Notre approche

- Work from aggregated and anonymized signals.
- Build probabilistic audience models.
- Generate personas that represent likely behavior.
- Test marketing scenarios before activation.

What we avoid

- Identify individuals.
- Reconstruct nominative profiles.
- Making marketing understanding dependent on third-party cookies.
- Confusing a probabilistic persona with a real person.

Our principles

## Technology that is useful, explainable and actionable

We are building UserJournAI around a simple belief: AI only has value if it helps teams make clearer decisions and act more effectively.

01

### Pragmatism

Start from real business challenges: audiences, messaging, activation, measurement and performance.

02

### Clarity

Make models, results and recommendations understandable for marketing teams.

03

### Humility

Acknowledge the probabilistic nature of results and help teams make better decisions without promising absolute certainty.

04

### Responsibility

Build a privacy-first approach based on collective signals rather than individual identification.

The founders

## Complementary expertise born from media and digital marketing

UserJournAI is driven by founders with complementary experience in media, advertising activation and digital marketing.

Media vision

### Understanding the value of audiences and inventory

Part of the founding experience comes from the media industry, where the ability to qualify audiences, enhance exposure contexts and demonstrate campaign impact has become essential.

Digital marketing vision

### Turn insights into measurable activations

The other part comes from digital marketing, where acquisition, conversion, targeting, personalization and performance challenges require more precise, faster and more actionable tools.

Shared conviction

### Reconnect understanding, activation and measurement

This complementary expertise gave birth to UserJournAI: a platform designed to connect a refined understanding of behavior with concrete, testable and measurable marketing decisions.

[Product**Platform** Discover how UserJournAI transforms aggregated signals into audiences, personas, activations and measurements. Discover →](https://userjournai.com/en/platform?hsLang=en) [Method**How it works** Understand the full chain: data, models, personas, tests, activation and measurement. Understand →](https://userjournai.com/en/how-it-works?hsLang=en) [Compliance**Privacy** Understand UserJournAI’s privacy-first approach without individual identification logic. Understand →](https://userjournai.com/en/privacy?hsLang=en)

## Understand what is changing in *audience analysis*

Discover how UserJournAI helps marketing and media teams understand, test, activate and measure audiences in a privacy-first environment.

[Discover the platform](https://userjournai.com/en/platform?hsLang=en)[Understand the methodology](https://userjournai.com/en/how-it-works?hsLang=en)

[![UserJournAI](data:image/png;base64,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)](https://userjournai.com/en/home?hsLang=en)

UserJournAI helps teams understand real behavior, validate marketing decisions and activate higher-performing campaigns from launch.

[YouTube](https://www.youtube.com/@UserJournAI)[Facebook](https://www.facebook.com/Userjournai)[LinkedIn](https://www.linkedin.com/company/userjournai/)[Instagram](https://www.instagram.com/userjournai/)[X](https://x.com/UserJournAI)

Member of the collective [Hub&Up](https://www.hubandup.com)

### Company

- [About](https://userjournai.com/en/about?hsLang=en)
- [Manifesto](https://userjournai.com/en/manifesto?hsLang=en)

### Resources

- [Blog](https://userjournai.com/en/blog?hsLang=en)
- [Privacy](https://userjournai.com/en/privacy?hsLang=en)
- [FAQ](https://userjournai.com/en/faq?hsLang=en)

[Legal notice](https://userjournai.com/en/legal-notice?hsLang=en) — Copyright © 2026, User JournAI

```json
{
  "@context" : "https://schema.org",
  "@type" : "WebPage",
  "description" : "Comprendre les comportements réels, qualifier les audiences retail, activer les bons segments et mesurer l’impact drive-to-store.",
  "isPartOf" : {
    "@type" : "WebSite",
    "name" : "UserJournAI",
    "url" : "https://userjournai.com"
  },
  "name" : "UserJournAI pour le retail",
  "url" : "https://userjournai.com/en/use-cases/agences-media"
}
```

```json
{
  "@context" : "https://schema.org",
  "@type" : "Organization",
  "name" : "UserJournAI",
  "sameAs" : [ "https://www.youtube.com/@UserJournAI", "https://www.facebook.com/Userjournai", "https://www.linkedin.com/company/userjournai/", "https://www.instagram.com/userjournai/", "https://x.com/UserJournAI" ],
  "url" : "https://userjournai.com"
}
```