Customers Likely to Leave Analysis
Customers Likely to Leave Analysis is a detailed analysis of customer loyalty data to identify behavior that is predictive of customer attrition. This analysis models data on customers that have already defected, determines key factors that are common and predictive, and then applies prediction factors to existing customers to identify customers that are “at risk” of defecting. This analysis models factors such as trip frequency, recency of purchases, dollar value of purchases, categories purchased, competitor store openings, and demographics. The insights provided by this analysis enable retailers to improve their targeted marketing initiatives and reduce their marketing and merchandising costs.
Key Questions Answered
Customers Likely to Leave Analysis helps retailers answer key questions that can help them optimize their merchandising and marketing strategies:
- Understand behaviors that are predictive of customer attrition
- Identify current customers that are likely to defect
- Develop targeted marketing plans to minimize customer defections
Key Abilities
Customers Likely to Leave Analysis provides granularlevel insights that enable retailers to:
- Understand the behaviors that are predictive of customer attrition
- Develop targeted marketing strategies that minimize or eliminate customer defections
- Optimize merchandising and marketing strategies and investments with focused, high-impact plans
Get Started Today
Are you ready to take advantage of the insights that deliver consumer-centric sales
and marketing? Take the next step. For more information, call 1-888-676-3626 or request information online.
Datasheets
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