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  • FrenzoCollect

  • 18-10-25

What No One Tells You About Debt Recovery Software: The 5 Metrics That Actually Matter

In India’s ₹3.5 lakh crore stressed-asset market, lenders aren’t losing sleep over defaults - they’re losing it over inefficiencies. Every call, every follow-up, every delayed settlement adds up to millions in opportunity loss. As digital lending scales and borrower behavior evolves, recovery success can no longer be measured by the number of calls made or cases closed. The real question is: what defines effective recovery today? The answer lies in how you measure it - and that’s where modern debt recovery software is quietly reshaping the rules.


Most lenders track surface-level metrics - total recoveries, open cases, agent productivity. But these numbers only tell part of the story. The most progressive financial institutions are now looking deeper, focusing on five core metrics that actually reflect portfolio health and operational intelligence. FrenzoFinserv, India’s leading compliant and tech-first debt recovery company, has built its proprietary platform FrenzoCollect around these very metrics - helping banks, NBFCs, and fintechs turn data into measurable recovery outcomes.


1. Recovery Rate Uplift

It’s not about how much you recover, but how much you recover better. Recovery rate uplift measures the percentage improvement in recovered dues compared to traditional or manual recovery methods. With FrenzoFinserv’s AI-driven debt recovery software, lenders typically see 20–30% uplift by optimizing outreach timing, communication channels, and borrower segmentation.


2. Cost per Contact (CPC)

In legacy models, lenders spent heavily on manpower, third-party agencies, and call operations. Modern platforms slash these costs through automation. FrenzoCollect’s Robo Plus module enables multilingual AI-led borrower outreach at scale - reducing the cost per contact while maintaining quality engagement. This metric directly impacts profitability, especially for lenders managing large delinquency pools.


3. Delinquency Reduction Rate (DRR)

The real win in recovery is not chasing overdue accounts - it’s preventing them. DRR measures how effectively your system identifies and engages at-risk borrowers before default. FrenzoFinserv’s predictive analytics engine uses behavioral and transactional data to flag early-risk profiles, allowing lenders to intervene with personalized nudges, restructuring options, or repayment reminders that reduce roll rates.


4. Borrower Satisfaction Score (BSS)

A metric often ignored, but increasingly vital in a regulated market. Recovery done right should strengthen borrower relationships, not damage them. FrenzoFinserv’s debt recovery software captures borrower sentiment through feedback loops and response tracking. By integrating empathy into communication scripts and allowing self-service settlements through Settle Plus, lenders can turn previously tense recovery interactions into moments of resolution and trust.


5. Average Resolution Time (ART)

Every day a loan remains unresolved increases the cost of recovery and capital risk. ART measures the average time taken to close delinquent accounts. With centralized workflows, automation, and integrated communication channels, lenders using FrenzoCollect have reported up to 40% faster resolution cycles - proof that the right technology can turn complexity into clarity.


Why These Metrics Matter More Than Ever

The lending landscape is entering a new era - one defined by compliance, digital scale, and borrower-centric recovery. Metrics like these help lenders move from reactive recovery to predictive engagement. FrenzoFinserv’s debt recovery software is designed to not only capture these data points but act on them, giving institutions a 360° view of their collections performance across channels and portfolios.


Recovery is no longer about collecting dues; it’s about collecting insights. The lenders who measure smarter will recover stronger. And with FrenzoFinserv at their side, they’ll do it compliantly, intelligently, and at scale.