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PB Business Insight Portrait Miner 6.0 For Predicting Customer Behavior


 
  
New predictive analytics solution enables users to identify customers most likely to defect, most likely to purchase, and provides insight into customer lifetime value.


New Predictive Analytics Solution Enables Users to Identify Customers Most Likely to Defect, Most Likely to Purchase, and Provides Insight into Customer Lifetime Value

PB Business InsightTroy, New York, March 8, 2011 - Pitney Bowes Business Insight, a global leader in customer data, analytics and communication software and services, today announced a major version upgrade to its Portrait Customer Analytics product line in the form of Portrait Miner 6.0, the industry's most visual and automated software solution for accurately predicting customer behavior.  By deepening customer understanding and automating the predictive modeling process, Portrait Miner empowers customer insight professionals to improve campaign targeting and profitability and increase ROI from sales and marketing campaigns.

Customer insight teams face extreme time pressure to understand data, profile customers and make smarter business decisions. Using Portrait Miner's rich visualization and analytic automation capabilities, teams can now generate accurate predictions of customer behavior and accelerate the delivery of analytic insight throughout the organization. With this ability to tap into customer data and achieve a 360 degree view of the customer base, Portrait Miner empowers users to predict profit-impacting behaviors and propensities, including customer churn, cross-sell and up-sell opportunities, campaign planning and segmentation, customer satisfaction and loyalty, and customer lifetime value.

As a direct upgrade from existing Portrait Customer Analytics environments, Portrait Miner 6.0 includes numerous new capabilities that enable businesses to solve a wider range of business challenges including:

  • Market basket analysis
  • Mass best-next-product
  • Purchase sequencing
  • Marketing impact analysis
This release also incorporates new extensions for location intelligence which can improve predictive accuracy by as much as 30 percent and powerful new data preparation options which can fast-track datamart creation.  Additional enhancements include powerful new algorithms and data prep capabilities, improved speed and performance, extended Microsoft Office integration and platform support, and a refined user interface for faster and easier insight.

For more information, visit www.pbinsight.com.


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