Anticipate customer needs and maximize revenue, while refining customer retention campaigns.
Whether offering triple-play, expanded data, group plans or faster network options, predictive analytics can go a long way to boost revenue and enhance customer loyalty in the process.
Download New Forrester Research Report:
How Analytics Drives Customer Life-Cycle Management
Get the latest information on:
- • How current predictive analytics miss the mark
- • True customer intelligence for more effective analytics and segmentation
- • Making analytics pervasive across the customer life-cycle
It’s time to build stronger relationships with customers that reduce your churn rate without disrupting existing systems.
Pitney Bowes Software predictive analytics can help you build customer retention models that predict customer reactions and ideal targets for specific offers. Better understand customer and network data for optimum segmentation. Provide more focused communications from the start of customer relationships.
The Secret to Reducing Churn
Leveraging predictive analytics for lower churn rates and better customer retention in the communications industry.
Pitney Bowes white paper
"Using churn modeling, for example, XO Communications, a business-to-business (B2B) telecom service provider, boosted customer revenue retention by 60%."
Vision: The Customer Analytics Playbook
Srividya Sridharan, Forrester Research
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