Tracify uses an independently developed AI model, trains on billions of euros in advertising budget and an extremely broad database of real user interactions. Instead of relying on simple rules or models, our AI assesses each customer journey granularly according to the behavior, intensity and relevance of the individual touchpoints.
Feature
AI Attribution
Good decisions can only be made when impact is correctly understood. Tracify's AI Attribution evaluates customer journeys based on real user signals and shows which touchpoints contribute measurably to the conversion — instead of relying on rigid models or blanket weightings.
"Ungenaue Attribution (z.B. durch Meta) gehören durch Tracify der Geschichte an. Durch die neu eingeführte KI der Attribution wird alles nur noch genauer, als ohnehin schon."
Over 1000+ Managed Accounts
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Attribution based on individual customer journeys
Each touchpoint is rated in incremental order
Each touchpoint is dynamically weighted according to its actual contribution to the conversion. The AI recognizes which interaction has really helped the user — regardless of position or channel. This creates an attribution that is more profound and precise than any conventional model.
Complex model but easy to use
Instead of manually choosing between attribution models, you get a well-founded evaluation based on real user signals. AI attribution automatically performs the analysis at journey level and provides clear answers to what really works. For control that reduces complexity and maximizes decision security.
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FAQ
Frequently asked questions
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Contact our support team.
What does incremental attribution mean — and why is it better than Last Click or First Click?
Classic models like Last Click assign a conversion to a single touchpoint by default — regardless of whether that contact was actually decisive. Tracify’s AI Attribution evaluates every touchpoint by the real contribution it made to the purchase decision. The result: more precise budget steering and significantly less misallocation.
Do I have to pick an attribution model manually?
No. AI Attribution runs fully automatically on the journey level. You don’t pick a static model — you get a dynamic evaluation based on real user signals. That eliminates manual configuration errors and delivers more robust results than any rule-based model.
What data was the AI model trained on?
The model was trained on billions of euros of real ad spend and genuine user interactions from more than 1,000 active shops. That depth of data lets it accurately evaluate even complex multi-touch journeys — well beyond what smaller or synthetic training sets can do.
How does AI Attribution make sure it doesn’t over-attribute?
Tracify does not model conversions — only real, actually-tracked touchpoints are evaluated. Only interactions that genuinely took place feed into the attribution.
