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Customer Story

Hyper-Personalized Microloans

Telco operator with over 1.5 million prepaid subscribers in Central America


Prior Situation / Scenario

  • Loans accessible to only 54% of the total prepaid customer base with highly restrictive rules
  • Generic, limited-value proposition
  • High/flat fees for customers
  • Loans solely based on prepaid balance

Client Challenges

  • Improve data pack adoption and usage
  • Lower bad debt
  • Difficulty in assigning segmented/contextual offers for each subscriber profile
  • Improve customer experience

Strata Solution/ Key Enablers

  • We deployed a risk scoring model combined with real-time triggers to target subscribers based on their previous usage and payment behavior to determine loan amounts.
  • Segmented payback was implemented to reduce fees depending on outstanding debt.

Outcome

  • Increased the loan amount while maintaining controlled risk.
  • Expanded the service’s targetable group.
  • Simplified and shortened prepaid loans and accelerated loan repayment rates.
  • Customer satisfaction improved due to the service’s accessibility and timely Loan offers.

Results

Within the first 12 months of the micro-loan deployment, the target group increased by 27% and the total credit amount issued increased by 39%, while the bad debt remained stable.

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