Marketing mix modeling and budget assumptions

Use channel spending, outcomes and relevant variables to estimate contributions, response curves and budget allocations.

Method · Marketing

Core concepts

• Inputs: organize outcomes, channel data and controls for confounding
• Model: examine estimated distributions with lag, saturation and prior knowledge
• Outputs: interpret contributions, uncertainty and response curves together

Application

Following the Meridian introduction, first record aggregation, metric definitions and causal assumptions. Check model fit and uncertainty before using budget scenarios in decisions.

Limitations and jurisdiction

Outputs depend on assumptions and input data. Observational correlations do not guarantee causal effects, and an estimated optimal budget does not guarantee sales.

Editorial perspectives

• Measurement first: examine data quality and weak causal assumptions.
• Allocation first: compare budget choices within the validated scope.

Sources

Google · Viewed 2026-10-08

Context: Google public MMM methodology guidance

Source checked: 2026-10-08

Independent editorial summary and source link; the original text is not republished.

Related personas

Translation status

Editorial English translation of the Korean edition. No professional translation or occupational expert review has been completed. Translation does not change the source jurisdiction.

Translation prepared: 2026-10-08 · Source fingerprint: kb-f5c741560b803c24

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