Intelligence Models

Channel Attribution model

Understanding which acquisition channels produce customers with the best long-term value and retention.

What does Channel Attribution do in LiftSignals?

LiftSignals' Channel Attribution model is retention-weighted attribution — it answers the question: "Which channels produce customers who keep buying?" This is different from advertising attribution (which channel drove the first click or conversion).

What data does it use?

LiftSignals uses the acquisition_source field on customer records (from Shopify's UTM data or your imported CSV) combined with each customer's subsequent lifetime value and retention curve.

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For best results, ensure your Shopify store has UTM tracking set up on all paid channels. Without source data, the model will show "Unknown source" for many customers.

How to use the channel data

Compare predicted CLV by acquisition channel — invest more in channels that produce high-CLV customers, not just high-volume customers
Use cohort retention by channel to see which sources produce the stickiest customers
Identify channels that produce one-time buyers (low repeat rate) vs. loyal customers

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