Blended ROAS Is Lying to You — Compute True CAC and Payback Instead
Blended ROAS mixes new customers with repeat buyers who would have purchased anyway. It can rise while your acquisition engine falls apart underneath it.
What blended ROAS actually measures
Total revenue includes repeat purchases from customers you acquired months ago. As your repeat base grows, blended ROAS drifts up mechanically — even if every new dollar of ad spend is acquiring worse customers at higher cost. It's a comfort metric.
The split that tells the truth
first_order_contribution = new_customer_revenue − variable_costs
payback_months = months until cohort cumulative contribution ≥ CAC
Three numbers, one story: what a customer costs, what their first order actually contributes, and how long the rest takes to arrive. A store with 4.1× blended ROAS can easily have CAC above first-order contribution — meaning every acquisition is a loan you hope retention repays.
Reading the combination (sample scenario)
- CAC $42, first-order contribution $28, payback month 3 → healthy if cash allows.
- CAC $42, first-order contribution $28, payback month 9 → growth is consuming cash; check retention before scaling spend.
- CAC rising while blended ROAS rises → the repeat base is masking decay. This is the failure mode blended ROAS was born to hide.
Minimum viable setup
Tag each order as first or repeat from order history — no attribution tool needed. Pull monthly ad spend per channel. That's enough to compute CAC, payback, and new-vs-repeat contribution split monthly. Fancy multi-touch attribution can wait; this can't.
ProfitFalcon runs this exact math on your store exports — every number verifiable.
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