₹570+ Crores in 16 Months: Building a Multi-Lender Personal Loan Stack
How one of India's most trusted financial platforms built an embedded personal-loan funnel from zero to ₹570+ Cr disbursed in 16 months — within an aggressive 30-day launch deadline.
₹570+ Crores in 16 Months: Building a Multi-Lender Personal Loan Stack
How one of India's most trusted financial platforms built an embedded personal-loan funnel from zero to ₹570+ Cr disbursed in 16 months — within an aggressive 30-day launch deadline.
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in personal loans disbursed in 16 months — built from zero infrastructure to live multi-lender funnel in 30 days.
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The challenge
Why a content platform needed lending infrastructure overnight
Audience without infrastructure
The platform had millions of users and unmatched financial content credibility. What it lacked was lending plumbing — no LOS, no decisioning engine, no lender integrations.
Multi-lender was non-negotiable
Access to multiple banks and NBFCs was critical for competitive rate discovery and higher approval rates. A single-lender setup would have boxed in the offer marketplace from day one.
30-day launch, no missteps
The team set a 30-day deadline to launch a fully automated funnel — onboarding, underwriting, disbursement, all production-ready. No room for error or scope creep.
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Outcomes
What the funnel actually delivered
6 million+ users onboarded
The platform onboarded over six million users into the lending journey across 16 months. Average ticket size: ₹1.52 lakh — well above industry mean for digital personal loans.
32% offer-to-application, 70% application-to-disbursal
32% of applications received a loan offer in under a minute. 70% of those offers converted to disbursals — against a 40-50% industry average — with no manual underwriting in the funnel.
Instant disbursals, real-time visibility
Sub-24-hour disbursal as standard. Real-time dashboards expose every drop-off, lender performance comparison, and campaign-level conversion — turning the lending funnel into a managed product, not a black box.
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How it was built
What FinBox built for the platform
By April 2024, personal loans had surged to nearly one-third of total bank credit in India. The platform — a trusted financial content brand serving millions of retail investors — had distribution and audience but zero lending infrastructure. This case study walks through how FinBox's Multi-Lender Stack let the platform launch a multi-lender personal-loan funnel in 30 days, with white-labelled UX, automated decisioning, sub-24-hour disbursals, and real-time funnel analytics — all without compromising credit quality.
Plug-and-play Multi-Lender Stack APIA single API connects the platform to a network of banks and NBFCs, creating a real-time loan marketplace. Real-time rate competition delivers the best offers to users while go-live time drops from months to days.
Automated credit decisioningThe decisioning engine analyses bureau data, bank statements, and digital footprints in real time for instant risk assessment and offer generation. The platform achieved a 32% offer-to-application conversion rate, well above industry standard.
White-labelled UX SDKsPre-built modules for application, eKYC, document upload, and consent capture — drop-in components that match the platform's interface. Drove 70% application completion among eligible users vs the 40-50% industry average.
Instant disbursal orchestrationPayout orchestration on UPI and IMPS rails with auto-failover and lender rerouting. Sub-24-hour disbursals as standard.
Real-time funnel optimisationBI dashboards expose drop-offs, disbursal trends, lender performance, and operational KPIs — enabling agile optimisation of campaigns, eligibility rules, and journeys for continuous funnel improvement.
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