See how much the attribution model, not the marketing, decides the answer.
Run the same customer journeys through five standard models and a simulator, and see how credit shifts across channels before you move budget.
The model you pick quietly picks the winner.
Last-touch rewards closing channels; first-touch rewards discovery. Neither is “true”, and the choice can swing a channel’s apparent value.
One model, one story
A single model hides how sensitive conclusions are.
Broken journeys
Without stitched sessions, credit is assigned to fragments.
Decisions on shaky ground
Budget shifts should survive a change of model.
From journeys to comparable credit.
Journeys are loaded
Sessions are stitched per visitor, with eligibility rules for what can be attributed.
Five models run
First touch, last touch, linear, position-based and time decay.
Compare
See credit per channel side by side.
Simulate
Test how a model change alters the picture.
Signals it reads
- Multi-session paths
- Channel transitions
- Consent and identity rules
- Conversion definitions
- Touchpoint weights per model
- Time-decay parameters
Intelligence you can act on, with the evidence attached.
Intelligence produced
- Channel credit under each model
- Attribution simulations saved with results
- A view of how sensitive channels are to model choice
- Revenue attribution where conversion values exist
Recommended actions
- Check which channels change rank across models
- Move budget only where the story is stable
- Save a simulation for a decision record
- Review journeys behind a surprising result
What changes for the team.
Sturdier decisions
You see which conclusions depend on the model.
Less channel politics
Everyone sees the same journeys under each model.
Explainable credit
Model weights are standard and documented.
Estimates labelled as such
Attribution is presented as an estimate, not a fact.
Who reaches for it, and why.
Growth leads
Defend a budget change under multiple models.
Analysts
Audit how much of a channel’s value is model-driven.
B2B teams
Follow long, multi-touch journeys.
Related capabilities, tools and reading.
Questions people ask first.
Which models are included?
First touch, last touch, linear, position-based and time decay.
Is attribution exact?
No. It is an estimate based on tracked journeys, and we label it that way.
Does it use ad-platform data?
No. It uses journeys from your own tracking.
See what is moving your numbers.
Install one tracking snippet and start reading your own data. Or ask for a walkthrough first.