Achieving a $2M Boost in Collections via Speech Analytics & Risk Segmentation

Implementing a data intelligence strategy using speech analytics and risk segmentation provides the behavioral insights needed to overcome personalization challenges and drive a $2M increase in collections.

Insights / Case Study

At a Glance

Success Highlights

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Challenge

High collection costs and low efficiency across channels. Limited personalization due to a lack of behavioral insights. Insufficient visibility into consumer intent and emotional drivers. Faced with these challenges and more, this European banking client needed to enhance collection rates across the entire delinquency spectrum.

In search of a data-driven approach to improve recovery, optimize costs, and strengthen customer relationships throughout the collections journey, the client turned to Concentrix.

Solution

The Concentrix analytics team designed and implemented a comprehensive data intelligence strategy for the client, leveraging speech analytics and risk segmentation to transform the collections process. Key initiatives included:

  • Intent analysis: Identified both customer intent to pay and advisor intent to collect, driving more effective interactions.
  • Emotion analysis: Mapped customer emotional journeys to understand sentiment and its influence on repayment behavior.
  • Recovery modeling: Developed predictive models to reduce non-performing assets (NPAs) and optimize recovery prioritization.
  • Quality automation: Automated compliance and quality monitoring to enhance efficiency and consistency across operations.

Together, these use cases created a more personalized, insight-driven collections strategy that improved outcomes and customer experience.

The Concentrix analytics team designed and implemented a comprehensive data intelligence strategy for the client, leveraging speech analytics and risk segmentation to transform the collections process.

Outcomes

The analytics-driven approach delivered significant improvements in collection performance, quality, and customer engagement, including:

$2M+ increase in collections in the first year

65% improvement in quality monitoring scores, driven by automation and compliance rigor

6% increase in promise-to-pay rates and 3% uplift in kept promises, reflecting stronger customer trust and engagement

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