Figure 1From “What is marketing mix modeling?”
The triangulated commercial measurement architecture
Combine top-down econometric modeling with randomized holdout anchors and tactical attribution signals.
Figure 1The triangulated commercial measurement architecture
| Architecture component | Measurement layer | Primary operational input | Commercial decision governed |
|---|---|---|---|
| Top-Down Econometric (MMM) | Portfolio-level macroeconomic view | Weekly aggregate spend, sales, pricing, macro | Annual and quarterly cross-channel budget allocation |
| Experimental Ground Truth (RCTs) | Regional & user-level holdout tests | Matched geo-tests, ghost ads, holdout groups | Calibration anchors and prior distributions for MMM |
| Bottom-Up Tactical Attribution | Granular intra-channel click signals | Impression tags, creative variants, keywords | Day-to-day creative optimization and tactical bidding |
| Financial Ledger Integration | Contribution margin accounting | Direct variable delivery and COGS data | Conversion of gross media sales into net cash ROI |
| Executive Budget Optimizer | Marginal return curve synthesis | Calibrated channel saturation equations | Reallocation of marginal dollars to highest-slope curves |
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Source: Author's commercial econometric framework grounded in empirical ad-measurement and experimental calibration literature from Blake et al. (2015), Gordon et al. (2019), Lewis and Rao (2015), and Johnson et al. (2017).
Source and evidence
Each line names a claim related to this exhibit, its source, and how it was checked.
- B BNT15-C2 The strongest result is stated as an extreme case, not a rule: "as an extreme case, we show that brand keyword ads have no measurable short-term bene"fitsBlake, Nosko & Tadelis (2015), abstract
- B GORDON19-C7 The naive comparison, and the authors' own reading of it: exposed and unexposed conversion of 0.061% against 0.019%, "implying an ATT lift of 316%. This estimate represents the combined lift due to treatment and selection and is more than four times the lift due to treatment of 73%"Gordon et al. (2019), section 7.2
- A LR15-C1 "The median confidence interval on return on investment is over 100 percentage points wide", across 25 field experiments "most reaching millions of customers and collectively representing $2.8" million in spendLewis & Rao (2015)
Grades: A, verified against the printed page of the primary source · B, primary source, text layer only · C, authoritative secondary · D, reported.
From the essay
From the research bench
What is marketing mix modeling?
Marketing mix modeling applies econometric regression to aggregate time-series data to estimate marketing effectiveness and optimize media budgets.
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