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Customer Analysis Starter Kit
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MicroStrategy’s Customer Analysis Starter
Kit provides the power, scalability and sophistication to analyze terabytes
of customer interaction data. This starter kit provides more than 65 performance
metrics and 40 reports to help companies segment customers, monitory lifetime
values, improve customer satisfaction and drive profitability.
The analytical module provides deep insight into customer behavior enabling
organizations to reduce attrition of high value customers, optimize customer
profitability and identify appropriate cross-sell opportunities. MicroStrategy’s
Customer Analysis Starter Kit is able to do this with the most scalable,
flexible and robust product architecture in the industry -- MicroStrategy
8. Incorporated into the design of this module, is the knowledge acquired
from over 400 customer-centric implementations at leading organizations
across the world.
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.
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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
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- Segmentation
- Profitability and Cross-Sell Analysis
- Acquisition, Retention and Attrition
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Unique MicroStrategy Analysis of Common Core Functions: Customer
Analysis |
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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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