Measurement and responsible use
What Is Attribution?
Attribution is the method used to assign credit for a conversion or other important action to marketing interactions. The result depends on the attribution model, eligible channels, lookback window, reporting scope and the interactions the measurement system can observe.
Definition and further reading: Google Analytics. Sources checked 8 November 2026.
One booking, different ways to assign credit
Attribution is the method used to assign credit for a conversion or other important action to marketing interactions.
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Attribution is the method used to assign credit for a conversion or other important action to marketing interactions.
- Observed journey: Search, email and a later visit may all appear.
- Attribution rule: The model allocates credit to eligible interactions.
- Business outcome: Check the actual booking in the customer record.
Assigned credit is not proof that an interaction caused an additional sale.
Simplified explanation based on this entry’s sources and further reading.
Why would attribution matter to a business?
A prospect may discover a business through search, return through an email and book after a direct visit. Different reporting rules can distribute credit differently across that journey. Check those rules before comparing channel totals or shifting a budget.
For an owner reviewing marketing performance, the important question is what the report can reasonably support. A channel may receive credit because of the selected rule, not because the report observed every influence on the customer. Keep the outcome definition and reporting settings visible alongside the totals so staff can interpret a change without assuming the customer journey is completely known.
A practical attribution example
Illustrative example: a founder reads an article, later clicks a newsletter link and eventually requests a consultation. One report credits the last eligible interaction; another distributes credit across observed interactions. Both can describe the same booking using different rules.
The team traces the recorded interactions and checks that the consultation request exists in its customer system. It notes that the founder may also have spoken with a colleague offline. That conversation is not automatically represented in the report, so the team uses the attribution view as one source of evidence rather than a complete explanation of the booking.
A useful distinction about attribution
Attribution allocates credit within recorded data. It does not by itself prove that an advert caused an additional booking. Causal impact requires a suitable experimental or other credible evaluation design. Missing consented data, devices and offline conversations also limit the observed journey.
Credit and additional impact answer different questions. Attribution describes how observed activity is assigned to channels; an impact evaluation asks what would have happened without the activity being assessed. A founder should be clear which question a report addresses before using its figures to justify a causal claim or a major change in spending.
A useful first question about attribution
Which interactions can this report see, and what rule assigns credit? Compare reports with the same date basis, outcome definition and attribution settings before interpreting differences.
Ask the report owner to trace one outcome and explain why each channel received its share. Record what the system could not observe and which settings affected the result. This creates a clearer basis for comparing reports and discussing uncertainty with the team.
Sources and further reading
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