modules

Marketing Mix Modeling

Bayesian marketing mix models that quantify the incremental impact of each marketing channel accounting for saturation effects, carry-over, and external variables.

Bayesian marketing mix models that quantify the incremental impact of each marketing channel accounting for saturation effects, carry-over, and external variables.

know-where-every-dollar-goes

Know Where Every Dollar Goes Marketing Mix Modeling uses Bayesian statistical methods to decompose total conversions into contributions from each marketing channel. The model accounts for saturation effects (diminishing returns as spend increases), carry-over effects (impact that persists after spend stops), and external variables (seasonality, competitive activity, macroeconomic factors). The result is a clear picture of each channel's true incremental impact — and an optimization model that shows where your next marginal dollar should be allocated for maximum ROI.

data Viz

MMM Specifications

Method
Bayesian hierarchical with MCMC sampling
Effects
Saturation curves, carry-over (Adstock), base decomposition
Variables
Seasonality, competitive, macroeconomic, promotional
Optimization
Budget allocation optimizer with constraints
Refresh
Weekly model refresh with new data

features

bayesian: true

carry over: true

saturation: true

external vars: true

Relationships

products

capabilities

sub modules

use cases

  • Marketing Automation