Back to catalog
Productive systemBuilding

Attribution Engine

Revenue attributed by channel without relying on last-click.

What it solves

The team invests across multiple channels but last-click over-attributes to final touchpoints. Budget allocation decisions run on biased data. This upgrade builds a data-driven attribution model in your real stack.

Upgrade preview

Attribution dashboard, comparing models.

Revenue attributed by channel per selected model. Simulated data for B2C LATAM company at USD 18M ARR.

attribution.infinure.com/dashboard
Match rate 91.4%

Attributed revenue

$1280k

Paid Search
$420k
Paid Social
$310k
Direct
$220k
Organic
$180k
Email
$110k
Display
$40k

Insight

Last-click over-attributes to Paid Search and under-attributes to Display and Organic — distorts budget allocation.

Illustrative view. The real model is built on your stack, your channels and your conversion data.
What you'll see

What the product shows

  • How first-touch vs. last-touch vs. multi-touch compare

  • Match rate between data sources

  • Per-campaign drill-down with attributed revenue

  • Before/after model comparison

Attribution Engine

Want this running in your operation?

Let's talk about adapting it to your stack, your team and the KPI you need to move.