Blended ROAS (also called Marketing Efficiency Ratio or MER) is the ratio of total store revenue to total paid advertising spend across all channels. Unlike channel-level ROAS reported by individual platforms (Meta, Google, TikTok), blended ROAS requires no attribution model - it simply divides your total Shopify revenue by your total ad spend in the same period.
Blended ROAS = Total Revenue / Total Ad Spend (all channels)
If a brand generates $300,000 in monthly revenue and spends $75,000 across Meta, Google, and TikTok, the blended ROAS is 4x. This number is meaningful because it is grounded in actual business outcomes rather than platform-modelled attribution. Platform-reported ROAS suffers from double-counting (multiple platforms claiming the same conversion), iOS14 signal loss, and self-serving attribution windows. Blended ROAS sidesteps all of these problems by measuring at the business level rather than the channel level.
The limitation of blended ROAS is that it cannot tell you which specific channel is driving performance - for that, brands combine it with incrementality testing and media mix modelling. Most DTC brands use blended ROAS as the primary top-level efficiency guardrail (if blended ROAS drops below a threshold, total spend is too high relative to revenue) and channel ROAS as a directional signal within platform. Blended ROAS connects directly to profitability analysis through contribution margin: a blended ROAS of 3x with 50% gross margin and 10% fixed costs is profitable; the same 3x with 30% gross margin is not.
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