Which retail analytics technique first incorporated geographical data to predict customer churn based on population migration patterns?

Retail analytics has revolutionized how companies understand customer behavior across different geographical regions. Advanced spatial analysis techniques allow retailers to optimize store locations, personalize marketing based on regional preferences, and adjust inventory to match local demand patterns. How well do you understand the intersection of geography and retail analytics? Test your knowledge with this challenging question about a pioneering technique in the field.

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GeoSpatial Retention Modeling (GSRM)
Regional Demographic Analysis (RDA)
Migration-Based Customer Tracking (MBCT)
Geographical Attrition Prevention System (GAPS)