Store Clustering Through Store Level and Geodemographic Data

Store Clustering Through Store Level and Geodemographic Data

Course Overview

This course gives participants the ability to use store level data to evaluate category performance and in store execution, and to create store clusters and measure before/after performance. Participants learn to effectively use geodemographic and behavioral data by products and retailers, to identify product demand by store and zip or postal code. Calculations include demand index, product demand index, and sales index.


Approximately 3 hours course time

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Learning Objectives for Store Clustering Through Store Level and Geodemographic Data

Create store clusters using different methodologies;
Track performance by store cluster;
Measure before and after results for in store testing;
Create demand ranking reports;
Compare demand indices across products and retailers;
Identify best product fit (ie. high vs low demand stores);
Compare demographic profiles; and
identify leisure activities and preferences.
UPGRADE & SAVE. Get the Premium Store Clustering Through Store Level and Geodemographic Data Course Package with purchase of CPCA / Foundational Training Program.

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