Optimize Collections processes to maximize performance

The right data, in the right order is helping collections teams improve recovery across their portfolio. In our latest tip sheet, learn how to:

• Screen accounts for special handling before outreach 
• Prioritize accounts by recovery and payment likelihood 
• Improve contact strategies with current identity data 
• Scale recovery with reusable workflows and custom strategies

Recoveries hinge on knowing who can pay, not just who owes. This infographic explores how debt buyers and collections agencies can better identify signals of true payment capacity.

Did you know?

• U.S. household debt surpassed $18 trillion in Q3 2025.¹
• The average age of debt in collections is ~3.5 years.²
• The average recovery rate on delinquent accounts is ~20%.³

Read the infographic for more insights and strategies to drive smarter recoveries.

¹Household Debt and Credit report, Q3 2025, Federal Reserve Bank of New York.

²Debt Collection Industry Statistics, zipdo.

³Collections Industry Statistics, Gitnux.

As market conditions shift, collections success depends on continuous, high-quality consumer data. This checklist highlights how always-on collections intelligence can help debt buyers and agencies:

• Stay ahead of consumer behavior shifts
• Adjust strategies quickly
• Concentrate collections efforts where it counts

Without modern, data-driven strategies, agencies and debt buyers risk falling behind in an increasingly digital-first world. 

In this e-book, you’ll learn how to:

• Recover more with dynamic scoring models.
• Streamline prioritization with advanced data and analytics. 
• Engage faster through personalized communications and tailored outreach.
• Improve efficiency with on-demand platforms and self-service portals.