Customer Analysis Module
Features & Benefits
MicroStrategy’s Customer Analysis Module, 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 Module has been designed so that organizations can accelerate customer relationship management initiatives by running packaged analytics directly against an existing customer warehouse or CRM operational system. The module can be easily modified and extended to meet additional reporting and data requirements.
Features & Benefits At A Glance
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Easy-to-use best practice reports and scorecards |
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Perfect match for business user requirements – customizable without coding |
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Integration with existing technology investments |
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Production-ready application |
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360-degree reporting, analysis, and monitoring |
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Detailed Features & Benefits |
Key Analysis Areas
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Acquisition, Retention, and Attrition |
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Customer Segmentation |
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Profitability and Cross-Sell Analysis |
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| Typical Business Uses of MicroStrategy’s
Customer Analysis Module |
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Dynamically segment top 15% of customers that
spent above a threshold amount on a specific product category for
current quarter.
Correlate product affinities & profiles of
one customer segment to a high-value subsegment 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 of customer segments
to overall profitability across multiple business dimensions such
as geographic 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 market.
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