Index: MRM Introduction

Introduction to Market Response Models

Routing Summary

Foundational concepts for market response modeling: the MRM framework, management tasks, and data sources.

• Overview of the full book and ETS approach → Market Response Models - Overview
• Management tasks (planning, budgeting, forecasting, controlling), planning cycle → Response Models for Marketing Management
• Data sources (scanner, panels, GRPs), variable types, aggregation → Markets Data and Sales Drivers

Concept Map

Concept	Note	Type	Depends On	Key Result
ETS framework & book map	Market Response Models - Overview	overview	—	Econometric framework linking marketing inputs to outcomes across static and dynamic models
Four management tasks & planning cycle	Response Models for Marketing Management	concept	Market Response Models - Overview	Four management tasks and the iterative model-based planning cycle
Marketing data & sales drivers	Markets Data and Sales Drivers	concept	Market Response Models - Overview, Response Models for Marketing Management	Scanner sources, variable measurement, and aggregation choices for empirical models

Notes

• Market Response Models - Overview — CONTAINS: canonical response model $Q_t=f(A_t,E_t)$, simultaneous structural system (sales equation + spending rule), the four management tasks, the ETS approach, and previews of Koyck lags, MCI/MNL share models, transfer functions, VAR, ARIMA, Box-Cox and translog forms.
• Response Models for Marketing Management — CONTAINS: sales response function $Q_t=f(A_t,E_t)$, decision rule $A_t=g(P_{t-1},Q_{t-1})$, two-equation simultaneous system, four management tasks (planning, budgeting, forecasting, controlling), budget-optimization rule $\frac{\partial Q}{\partial A}\cdot m=1$, model-based planning cycle, ADBUDG, logistic response, ADL and ARIMA transfer functions.
• Markets Data and Sales Drivers — CONTAINS: scanner/POS-UPC data, stock variables and advertising goodwill $G_t=A_t+\lambda G_{t-1}$, relative index variables (RIX/RCX/RBX), GRPs (Reach × Frequency), baseline volume decomposition, market share $M{S}_t=Q_t/Q_{T,t}$, temporal aggregation bias (Clarke 1976), cross-sectional aggregation levels, and the Schultz-Wittink primary-vs-selective demand decomposition.

Sources

• Hanssens, Parsons & Schultz (2001), Market Response Models: Econometric and Time Series Analysis, 2nd Ed.

See Also

• Market Response Models