How MMM works
MMM relates your spend and external factors (seasonality, promotions, price) to sales across time, then decomposes sales into each channel's contribution. Because it is aggregate and privacy-safe, it needs no pixel and is not broken by tracking loss.
Modern MMM vs the classic engagement
Classic MMM: weeks of consulting, a black-box deck, a stale number. Modern MMM: run it on your own Shopify + GA4 exports, get results in minutes, re-run whenever spend changes, and inspect the assumptions.
It becomes a weekly decision tool, not an annual ritual.
Find your wasted ad spend in 5–10 minutes.
Watch the model work on a sample store first, no signup. Then upload your last 40–90 days of GA4 sessions and get incremental ROAS with confidence intervals. No pixel, no SDK. €99 per read.
Prefer to talk it through? Book a 20-min call, or read how it works.
Is MMM right for your brand?
If you are past the point where last-click is believable and you want channel-level guidance that will not break with the next privacy change, yes - and modern per-analysis pricing makes it viable well below enterprise budgets.
Frequently asked questions
Is MMM accurate for small budgets?
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Modern MMM works for five- and six-figure monthly spend, not just enterprise.
Does MMM replace attribution?
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It complements it - MMM gives the privacy-safe top-down view; causal attribution sharpens the channel-level incremental read.