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Customer Analysis Starter Kit  

Features & Benefits

MicroStrategy’s Customer Analysis Starter Kit, an application module for marketing and customer relationship management, provides more than 65 performance metrics and 40 key reports to help companies segment customers, monitor lifetime values, improve customer satisfaction and drive profitability.

The Customer Analysis module provides deep insight into customer, behavior enabling organizations to reduce attrition of high value customers, optimize customer profitability and identify cross-sell opportunities. Incorporated into the design of this module, are the best practices acquired from over 400 customer-centric implementations at leading organizations across the world.

Built on the MicroStrategy platform, the Customer Analysis Starter Kit has been designed so that organizations can incorporate the packaged analytics directly into an existing customer warehouse. The module can be easily modified and extended to meet additional reporting and data requirements.

Features & Benefits At A Glance
» Analytics library with packaged Customer Analysis reports and templates
» Built and runs on the MicroStrategy business intelligence platform
» Packaged modular customer data model
» Enabled for integrating directly with existing customer warehouse
» Extendable to full 360-degree Enterprise Analysis
» Detailed Features & Benefits

Key Analysis Areas
» Segmentation
» Profitability and Cross-Sell Analysis
» Acquisition, Retention and Attrition

Unique MicroStrategy Analysis of Common Core Functions: Customer Analysis
Dynamically segment top 3rd customers that spent below a threshold amount on a specific product category for current quarter
Correlate product affinities & profiles of all married customers to high value married customers to identify cross-sell products
Develop a profile of lost customers to identify which profitable customers might be at risk of leaving in the next quarter
Calculate profit contribution to medium income customers in NY to overall profitability in the Northeast region
Identify migration patterns of customers between high RFM (Recency, Frequency, Monetary) bands to lower ones for any two given time periods
Forecast campaign ROI by measuring & extrapolating campaign results in real-time of previous similar campaigns & similar target group

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