Skip to content

Attribution

Attribution is the process of assigning credit for an outcome to one or more interactions that occurred before it.

Attribution is the process of assigning credit for an outcome to one or more interactions that happened before it.

It is commonly used to evaluate which marketing channels, campaigns, or touchpoints contributed to conversions.

What It Means in Practice

A person might:

  1. Discover a business through search
  2. Visit again from Instagram
  3. Click an email several days later
  4. Return directly
  5. Submit an enquiry

Which source caused the enquiry?

There is no purely mechanical answer.

An attribution model applies rules to decide how credit should be distributed across those interactions.

Common Attribution Approaches

Models may assign credit to:

  • The first interaction
  • The last interaction
  • The last non-direct interaction
  • Several interactions
  • Interactions according to an algorithmic or data-driven model

Different models can produce different results from the same underlying journey.

Why It Matters

Organizations need some method of evaluating which channels appear to contribute to outcomes.

Attribution provides a practical model for doing that.

But it is still a model.

It does not prove what psychologically caused someone to make a decision.

Common Problems

Common attribution problems include:

  • Treating attributed credit as causation
  • Ignoring offline interactions
  • Missing cross-device activity
  • Tracking limitations
  • Inconsistent UTM parameters
  • Short lookback windows
  • Different platforms claiming credit for the same conversion
  • Comparing reports that use different attribution models

How to Improve

Understand which model the report is using.

Use attribution to identify patterns rather than declare a single definitive cause.

Compare it with traffic-source, conversion, campaign, sales, and qualitative information when the decision is important.