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PAID / AFFILIATE / MIS · India

Personal Loan Affiliate — Building Toward ₹2 Cr Monthly Disbursal

Brand-search architecture + lead-level MIS to make a tiered-commission model work.

CLIENT: Fast-Growing Indian Personal Loan NBFC · INDUSTRY: Personal Loans

The challenge

What we were asked to solve

A tiered-commission structure (4% below ₹1 Cr volume, 5% above) with no publisher conversion tracking configured. Low average ticket size made unit economics tight at scale.

Our approach

How we ran the engagement

  • 01Built a 3-ad-group brand-search architecture (Brand Core / Brand Loan App / Brand Loan Intent) with sub-ID attribution per campaign.
  • 02Operationalised partner lead-level MIS (userCreationDate, LastStage, loanStatus, disbursedAt) as the single source of truth.
  • 03Modelled the tiered-payout crossover and campaign-level ROI to prioritise volume toward the 5% band.

Results

Numbers on record

Figures from the actual engagement, with client name withheld under confidentiality.

608 cumulative leads/ 54 disbursals in opening cohort
₹10 L+ disbursedthrough the first eight weeks of the pilot
₹2 Cr/mo targetat 40–50% profit margin

STACK: Google Ads Search · Sub-ID attribution · Partner MIS · Python-based cohort analytics

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