top of page

Improving Credit and Collections Strategies Through Customer Segmentation, Payment Behavior Analysis, and Arrears Management

  • Jan 31, 2025
  • 1 min read

This forum focused on improving credit and collections strategies through customer segmentation, payment behavior analysis, and arrears management. Participants shared actionable insights, emphasizing the importance of cross-functional collaboration, employee engagement, and targeted customer strategies. A presentation from one of the benchmarking participants demonstrated how data-driven segmentation and process adjustments can significantly reduce uncollectible expenses and improve customer outcomes.

 

The discussion highlighted a strategy for segmenting customers into five categories based on payment behaviors: “Always Pay,” “Late Pay,” “Won’t Pay,” “Can’t Pay,” and “Never Pay.” By tailoring approaches to each segment, participants improved collections effectiveness while maintaining a focus on customer experience. Key changes included limiting repetitive holds, reducing payment plan enrollments after defaults, and connecting struggling customers with assistance programs. These efforts resulted in a 35% reduction in holds, overall arrears improvement, and a decrease in write-offs.

Recent Posts

See All
Affordability Discussion

The forum focused on how utilities are defining, measuring, and responding to affordability pressure. First Quartile framed affordability as a growing issue tied to customer stress, resiliency needs,

 
 
 
From Raw Data to Field Decisions – Part 2

The discussion focused on how utilities are presenting, scrubbing, automating, and using reliability data, especially OMS outage data, reliability dashboards, cause coding, and QA/QC practices. Partic

 
 
 
From Raw Data to Field Decisions

The conversation focused on how different organizations are collecting, scrubbing, validating, and reporting reliability data, especially around outage information and core reliability metrics. A clea

 
 
 

Comments


bottom of page