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Customer
Analysis Starter Kit
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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.
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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
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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 |
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Correlate product affinities & profiles of all married
customers to high value married customers to identify cross-sell
products |
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Develop a profile of lost customers to identify which
profitable customers might be at risk of leaving in the next quarter |
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Calculate profit contribution to medium income customers in NY
to overall profitability in the Northeast region |
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Identify migration patterns of customers between high RFM (Recency,
Frequency, Monetary) bands to lower ones for any two given time
periods |
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Forecast campaign ROI by measuring & extrapolating campaign
results in real-time of previous similar campaigns & similar target
group |
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