Cohort Analysis for Shopify on Shopify

Grouping customers by acquisition date to track behavior over time. Here's how this applies specifically to Shopify advertising and why causal inference gives you a clearer picture than Shopify's own reporting.

What is Cohort Analysis?

Grouping customers by acquisition date to track behavior over time. For Shopify brands running Shopify campaigns, understanding this concept is critical because it directly impacts how you evaluate Shopify's contribution to your revenue.

Cohort Analysis	Shopify reports	Causal truth
Data source	Shopify Ads Manager	GA4 + Shopify (independent)
Methodology	Click/view tracking	Causal inference
Bias	Self-serving (overcredits Shopify)	Independent (no platform bias)

Why Shopify's view of cohort analysis is misleading

Shopify shows orders and referral source but each ad platform also claims the same orders in its own dashboard
Channels routinely add up to more than 100% of real orders shipped, which is mathematically impossible
Shopify cannot distinguish channels that caused a sale from channels that merely touched the visitor

How causal inference measures cohort analysis for Shopify

Independent causal attribution: estimates what would have sold without each channel
Per-channel incremental ROAS plus confidence intervals so you know how hard to lean on each number
No pixel, no app install, no engineering ticket: runs on your Shopify orders export plus GA4

See true Shopify cohort analysis for €99

One-time analysis. No pixel. No Shopify API access needed.

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Cohort Analysis definition →Shopify integration →Attribution guide →

Last-click guesses.We run the math.

Causal attribution for Shopify brands. Upload your GA4 export, see which channels really drove revenue in 5–10 minutes. €99, pay-per-use. Pro at €299/mo when you want it continuous.

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