When the Feed Finds the Buyer: Who Gets Credit for the Sale?
In a feed-driven sale, credit goes to whoever showed up last. That is a receipt, not attribution.
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By Joris van Huët, Founder & CEOPublished 2 min read
The Closer Takes the Trophy
In a feed-driven purchase, the channel that appears last gets credited with a sale that four other channels helped create. Attribution, done badly, is just a receipt for whoever was standing there when the customer paid.
Picture a real journey. A reel plants the idea. A retargeting ad reminds. A creator's story adds trust. A branded search confirms. An email, with a code, closes. Ask your ad platforms who did it and each points at itself. Ask last-click and it points at the email. Everyone with an incentive to answer is the wrong person to ask.
Why This Quietly Wrecks Budgets
If the closer always wins the credit, you will keep funding closers and defunding the channels that create demand. Cut the reel that started the journey and watch your email revenue quietly fall a month later, with nothing in your dashboard explaining why. This is the trap we described in why cutting a low-ROAS channel can drop revenue.
Top-of-feed demand generation is the easiest thing to misread and the most expensive thing to cut by mistake.
Splitting Credit by Cause, Not Timing
The fix is to score each touch by the lift it caused, not the position it held. A causal attribution model estimates what each channel added on top of what would have happened anyway. The closer still gets credit for closing. The demand channel finally gets credit for creating the demand.
Upload one Google Analytics export and you get the split by cause, with a confidence score, in minutes. It will not flatter the channel that showed up last. It will show you the one you were about to underfund.
Frequently asked questions
In a multi-touch journey, which channel should get credit for the sale?
In a feed-driven purchase, the channel that appears last gets credited with a sale that four other channels helped create.How do you measure it?
Upload your Google Analytics export and a causal attribution read estimates each channel's incremental contribution with a confidence score, so you can see each touch by the lift it actually caused instead of guessing.
Go deeper: Incrementality testing, explained.
Sixty-second versions of these ideas: Causality Engine on YouTube Shorts.
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Terms in this article
- AnalyticsAnalytics is the systematic computational analysis of data. It reveals customer behavior and measures campaign performance.
- AttributionAttribution identifies user actions that contribute to a desired outcome and assigns value to each. It reveals which marketing touchpoints drive conversions.
- Causal AttributionCausal Attribution uses causal inference to determine which marketing touchpoints genuinely cause conversions, not just correlate with them.
- ClickClick is the action a user takes to interact with a digital advertisement, redirecting them to a website or landing page. Clicks are a fundamental metric for measuring ad engagement and a primary input for click-based attribution models.
- DashboardA dashboard is a visual display of key information required to achieve specific objectives. It consolidates data onto a single screen for quick review.
- Google AnalyticsGoogle Analytics is a web analytics service that tracks and reports website traffic.
- RetargetingRetargeting is online advertising that targets users who have previously interacted with your website or content. Attribution analysis shows the causal role of retargeting in driving conversions and improving ad spend.
- RevenueRevenue is the total income generated by the sale of goods or services related to a company's primary operations.