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Conversions

Measure what mattered

Attribution models disagree, and that disagreement is the finding.

The same conversions are credited four ways — first touch, last touch, linear and multi-touch — alongside the business rules your team configures. Where the models agree, the reading is stable. Where they disagree, the report shows the disagreement instead of picking a winner for you.

Attribution

  • First touch and last touch models
  • Linear and multi-touch credit
  • Configurable lookback windows per goal
  • Uncredited share reported, not redistributed

How it helps

What Attribution gives you

1

The model is named in the report

Every attributed figure states its model, its lookback window, and the touchpoints it could observe. A channel table with no model named is not a result; it is an opinion with a chart attached.

2

Correlation is written as correlation

Attribution shows which touchpoints preceded a conversion. That ordering is a measured relationship, not proof that a channel produced the sale, and no explanation in the product says otherwise. Causation is not claimed on your behalf.

3

Blind spots stay visible

A conversation on the phone, a link opened on another device, a visit made before collection was permitted — touchpoints never observed are not redistributed to the channels that were. The uncredited share is reported as its own figure.

Connect a site today. Read tomorrow's brief instead of building it.

Connect a site and the first brief arrives with the day's changes already explained — traffic separated from bots, conversions attached to revenue, and the evidence behind every sentence one click away.

Real people separated from bots Every answer shows its evidence Reveliqo runs on Reveliqo