Building a Digital Personal Loan Acquisition Scorecard

Context

For lenders, first-time payment misses carry outsized impact on portfolio health, customer trust, and operational load. Even customers with clean repayment histories can miss their first EMI due to timing mismatches, liquidity stress, or behavioral factors that traditional delinquency indicators surface too late. The institution needed intelligence that could act before the first bounce occurred, without over-alerting customers or burdening operations.

Dhurin’s Approach

Dhurin designed an early-stage payment risk framework focused specifically on first-time payment behavior. The framework combined disbursal-stage attributes, early transactional signals, and customer context to surface subtle risk patterns that preceded initial payment failure. FTPM was treated as an intervention problem rather than a generic delinquency event. Outputs were delivered as ranked, workflow-ready signals, enabling teams to act with discipline and consistency.

Outcome & Impact

The top 30% of customers ranked by the framework captured over 80% of first-time payment misses occurring beyond three months on books. This enabled focused, pre-emptive interventions, reduced avoidable bounces, and improved operational efficiency. The lender moved from reactive follow-ups to a structured early-warning

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