AI Attribution Engine.
Actual cause, not last touch.
AI Attribution Engine gives marketing leaders a defensible read on which channels actually drove revenue. Causal inference on your first-party data, weekly refreshes on the models, and channel-level media mix output that plugs straight into your planning spreadsheets. No black boxes, no vendor lock-in.
2.4x
Improvement in blended ROAS
14
Channels under continuous MMM
48h
From connection to first read
Built for the teams already asking these questions.
- CMOs and VPs of Growth at consumer brands and SaaS
- Media buying teams reallocating budget across paid channels
- Growth analytics teams tired of hand-rolled attribution models
A short, deliberate path from first note to shipped outcome.
01
Ingest first-party events
We connect to your CDP, warehouse, or event stream. No third-party cookies, no vendor lock-in, no shadow tracking.
02
Train causal + MMM models
Causal inference on first-party touchpoints, augmented with channel-level media mix modelling. Refreshed weekly, backtested monthly.
03
Reallocate and measure
Channel-level revenue contribution, incrementality reads, and a shared dashboard the finance team accepts.
Concrete artefacts. Owned by your team.
- First-party attribution pipeline
- Causal inference + MMM model suite
- Weekly channel-level revenue contribution reports
- Reallocation recommendations with confidence intervals
Plumbs into what you already run.
Where AI Attribution Engine is running.
AI Attribution Engine sits on top of these practices.
Real numbers, reference architecture, and how we'd scope it for you.
No sales sequence. A short PDF, the reference architecture, and a link to book time with a senior practitioner if you want to talk further.
Bring us the AI Attribution Engine brief.
Book a 30-minute discovery call and a senior practitioner will scope the engagement honestly.
or email contact@headify.com