Marketing 2026
Attribution Snapshot
A fast, directional read on which channels look closer to revenue when you compare first-touch, last-touch, linear, and time-decay models side by side.
This is not a full attribution warehouse. It is a practical operator tool for spotting where the story changes depending on the model, where budget confidence is stronger, and where your reporting setup is still too thin to trust.
Input source
Choose a CSV template
Upload a CSV export
Use a campaign export that includes Date, Conversions, Conversion value, and Click ID.
Interpretation
Read it like an operator, not an attribution vendor.
- Agreement mattersIf multiple models still point to the same channel, that signal is usually worth trusting more.
- Spread mattersIf a channel swings hard between models, your measurement or journey stitching is likely still thin.
- Context mattersThis MVP compares model logic against exported rows. It does not claim user-level or warehouse-grade attribution.