Attribution
Attribution explained
A purchase might follow several searches, a video and a newsletter. A measurement system may observe only part of that journey. Missing device links, access permissions and unrecorded interactions limit what can be seen. A detailed diagram does not automatically close those gaps.
Rule-based methods allocate credit according to a defined convention, such as the last eligible click. Data-based models estimate contributions using their data and assumptions. Google also describes using experimental data in training its data-driven attribution model. This still does not replace individual evidence of impact for every reported campaign.
Comparable reports need the same target action and period, with clear interaction and attribution windows. A purchase must not become several different sales in a combined analysis just because multiple platforms claim it. Explain how click-through and view-through interactions are defined.
For a budget decision, attribution is a starting point: which interactions receive credit under which assumptions? Add costs, outcome quality and suitable experiments for important impact questions. This turns a number into a decision that can be examined, instead of treating a model as certainty.
Examples
Hypothetical application
Someone clicks a search ad and later purchases after clicking a newsletter. A defined last-touch rule credits the newsletter. Another rule might include both interactions. The purchase remains the same; initially, only its allocation has changed.
Key Points
- Name the model and the interactions it covers.
- Do not simply add platform-attributed results together.
- Distinguish attributed outcomes from additional impact.
Practical application
Agree with marketing and data owners which outcome counts. Document the logic, check overlaps and identify unobserved parts. Use the findings to formulate concrete questions for the next .
Useful measures
Coverage
Describe which interactions and outcomes are observed or modelled.
Attribution consistency
Check target actions, windows and duplicate counting.
Decision robustness
Show whether other plausible assumptions change the budget decision.
Common mistakes
- Presenting attributed revenue as entirely additional revenue.
- Adding reports without a shared definition.
- Reading changes caused by a new model as real performance changes.
Sources and context
- Google Analytics: Attribution
Product-specific models, attribution and the scope of recorded journeys.
- Google Ads: Attribution models
Attribution rules and available models in Google Ads.
Frequently Asked Questions about Attribution
Not on its own. It distributes credit within a model and its data. Determining whether an activity causes additional outcomes requires an appropriate investigation.
They may include different interactions, windows, models and target actions. Check these definitions and overlapping credit before combining figures.
No. Additional data can help but does not resolve every observation gap or methodological question. Data quality and appropriate permission to process it remain prerequisites.
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