A customer we do not have
No logos, no testimonials, no counter. The proof here is the mechanism named and the threshold published as a number.
The trusted third party your AI agents need
Every ad platform grades its own homework, 30 to 50% above your sales. TrustData counts your conversions once, on data you own, and opens them to your agents over MCP.
Our mission
Give e-commerce brands and agencies an independent source of truth on their marketing, on data they own, from tracking to decision.
Why TrustData exists
After working with dozens of agencies and e-commerce brands, I saw the same problem everywhere: data that was available, and not trustworthy.
Pixels broke without anyone noticing until the client called. Google and Meta each claimed the same sale. Budget decisions were made on numbers nobody could reconcile.
Then search changed. 70% of discovery queries now get an AI answer, and teams started plugging agents into those same numbers. An agent reading broken data is confidently wrong, and it is wrong fast.
The existing tools stopped at measurement, or needed an agency and a six-figure budget. Nobody held all three levels at once: checking the data is intact, measuring what actually drives revenue, and deciding where to invest.
TrustData holds all three, on data you own, and opens them to your agents over MCP. It names no customer it does not have, converts no AI citation into revenue, and publishes no lift before a test has concluded.
Martin Préjean, founder
By the numbers
What the platform handles today. Figures updated each quarter.
6
Attribution models
Data-driven, first-click, last-click, linear, time decay and position-based, all on one shared window.
6
AI engines monitored
ChatGPT, Gemini, Claude, Perplexity, Mistral and DeepSeek, with Google AI Overviews and AI Mode read per keyword.
EU
Data residency
All first-party data hosted in the European Union.
What you will not read here
An AI citation turned into revenue
AI visibility is reported as the leading indicator it is, with its noise level, and never tied to a sale the data cannot carry.
A lift before a test has concluded
The incrementality designs exist. No customer test has concluded yet, and the page says so instead of quoting the literature.
A supplier in place of a capability
You read what the tool does, never which infrastructure runs it. The systems you connect are named in full.
What independent analytics actually means
The practical differences that show up in the dashboard and the budget decisions.
Who grades the ROAS
TrustData
Your Shopify or CRM conversions, cross-referenced with ad spend
Typical approach
Each ad platform reports its own ROAS, typically over-attributed 30 to 50%
Traffic capture
TrustData
First-party server-side SDK on your own domain
Typical approach
Client-side JavaScript, blocked by ad blockers, capped by Safari ITP, dropped on consent refusal
AI search visibility
TrustData
Included in every tier, ChatGPT and Perplexity probed daily
Typical approach
Not offered, or priced as a premium add-on elsewhere
Data residency
TrustData
EU-hosted by default, GDPR-first dual tracking logic
Typical approach
US-hosted, GDPR handled via add-ons and manual DPA review
Incrementality
TrustData
Geo holdout and time holdout designs; no customer test has concluded yet, and the page says so
Typical approach
Separate paid add-on or enterprise-only
Anomaly investigation
TrustData
The Trust Center investigation returns a diagnosis and its confidence label in seconds
Typical approach
Alerts without investigation, analyst time required
| Topic | TrustData | Typical approach |
|---|---|---|
| Who grades the ROAS | Your Shopify or CRM conversions, cross-referenced with ad spend | Each ad platform reports its own ROAS, typically over-attributed 30 to 50% |
| Traffic capture | First-party server-side SDK on your own domain | Client-side JavaScript, blocked by ad blockers, capped by Safari ITP, dropped on consent refusal |
| AI search visibility | Included in every tier, ChatGPT and Perplexity probed daily | Not offered, or priced as a premium add-on elsewhere |
| Data residency | EU-hosted by default, GDPR-first dual tracking logic | US-hosted, GDPR handled via add-ons and manual DPA review |
| Incrementality | Geo holdout and time holdout designs; no customer test has concluded yet, and the page says so | Separate paid add-on or enterprise-only |
| Anomaly investigation | The Trust Center investigation returns a diagnosis and its confidence label in seconds | Alerts without investigation, analyst time required |
FAQ
Direct answers.
TrustData is built for e-commerce brands with 1M to 30M EUR in annual revenue, marketing agencies managing 5 to 50+ clients, and scaling B2B SaaS companies. All three share the same problem: ad platforms that grade their own homework, plus a shift to AI-generated answers that competes with traditional SEO.
GA4 is a free web analytics tool focused on on-site user behavior. TrustData is an independent marketing analytics platform that reconciles your real orders with ad spend to calculate actual ROAS, monitors brand visibility across 6 AI engines, runs incrementality tests, and surfaces budget decisions. Many brands run both, GA4 for user behavior and TrustData for marketing measurement.
All TrustData data is hosted in the European Union. The consent logic is built for GDPR and the ePrivacy Directive from the ground up, with dual tracking, anonymous server-side without consent, full first-party tracking with consent.
The JavaScript SDK installs in 5 minutes with a single snippet. Ad-platform connectors (Google Ads, Meta Ads, TikTok Ads) connect via OAuth in about 10 minutes. Initial data sync takes a few hours depending on event volume. End-to-end, most brands are live in under one working day.
TrustData is built in Paris by Martin Préjean, its founder, after years spent on marketing measurement for agencies and e-commerce brands. Data is hosted in the European Union, the founder signs the articles and comparison pages on this site, and the contact page reaches him.
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