Holding your own in an agency attribution call: Five questions that work no matter how technical the room gets, and the one kind of answer that means the conversation has stopped being useful.
Read the full article below for detailed insights and actionable strategies.
The attribution problem
One sale. Four channels. 400% credit claimed.
Reported revenue: €400 · Actual revenue: €100 · Gap: €300
Five questions carry a founder through any attribution conversation, and none of them require technical knowledge. They work because they ask about evidence rather than about method.
The five
| Question | What it surfaces |
|---|---|
| What is this number compared against? | Whether there is a counterfactual at all |
| How sure are we? | Whether the estimate is resolved |
| What share of our orders does this explain? | Coverage |
| Which channels can we not measure at this spend? | Whether the floor is acknowledged |
| What would change your mind? | Whether the position is falsifiable |
The fifth is the most useful and the least asked. An answer names a specific observation. A non-answer explains again why the current view is correct.
What a good conversation looks like
Your agency has information you do not: creative fatigue, auction dynamics, what they tried last quarter, what the platform reps have said. An aggregate model cannot see any of that, so a productive call combines their context with an independent read rather than pitting one against the other.
The framing that keeps it productive is in settling attribution debates with your agency, and the pre-agreement that prevents most disputes is in the lift number your agency will accept.
The one asymmetry to name once
Platform reporting comes from companies that sell media. That is a description of an incentive, not an accusation, and stating it plainly once at the start is better than implying it repeatedly. It is also the reason an independent read exists at all.
The response that ends the useful part
Escalating jargon in reply to a plain question. If you ask what a number is compared against and receive an explanation of the modelling architecture, the question was not answered. Ask it again, in the same words. A competent agency will recognise what happened and answer.
What to bring
One page: per channel, an estimate, its range, the coverage share, and a label saying how it was produced. That is what a €99 one-time read on a Google Analytics export returns, refundable if it does not move a budget decision. Bringing evidence rather than a complaint changes the tenor of the whole call.
If your agency wants to see the method beforehand, how it works is written in plain language and the interactive demo runs on a sample store with no signup, so both sides can agree what the output means before it has anything at stake.
The outcome to aim for
Not agreement on a number. Agreement on a test: which channel to hold steady, for how long, and what result would change the plan. That converts a disagreement into a scheduled answer, which is the only thing that ever settles these.
Related answers
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Key Terms in This Article
Analytics
Analytics is the systematic computational analysis of data. It reveals customer behavior and measures campaign performance.
Attribution
Attribution identifies user actions that contribute to a desired outcome and assigns value to each. It reveals which marketing touchpoints drive conversions.
Causality
Causality is the relationship where one event directly causes another, essential for identifying specific actions that drive desired outcomes in marketing.
Counterfactual
Counterfactual is a hypothetical outcome that would have occurred if a subject had received a different treatment.
Google Analytics
Google Analytics is a web analytics service that tracks and reports website traffic.
Shopify
Shopify is an ecommerce platform for creating online stores and selling products. Attribution modeling shows which marketing channels drive traffic and conversions within Shopify.
Related Articles
Sixty-second versions of these ideas: Causality Engine on YouTube Shorts.
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