Loan Aggregation and Top-Up for Merchants

Loan Aggregation and Top-Up for Merchants

Lending is one of BharatPe’s core products. As merchants gained visibility and the ability to choose from multiple lenders instead of being assigned one, I redesigned the lending journey to reduce drop-offs and drive higher revenue.

My Responsibilities

Experience design

Interface design

Interaction design

Collaboration

Background & Problem Space

Background & Problem Space

BharatPe offers loans to merchants across multiple use cases - new loans and top-up loans. As part of improving transparency and merchant control, we introduced Loan Aggregation, allowing merchants to choose from multiple lenders instead of being auto-assigned one.

While this shift empowered merchants, it also surfaced new usability and conversion challenges across the loan lifecycle, especially during:

  • Initial lender selection

  • Re-selection after rejection

  • Top-up discovery and application

This case study covers how we redesigned both the core loan aggregation flow and the top-up journey, treating them as one connected experience.

Why to Redesign?

Why to Redesign?

Merchants now choose their lender, but early data showed:

  • ~8% increase in drop-offs at lender selection

  • Higher cognitive load due to multiple decisions

  • Friction when re-selecting lenders after rejection

In parallel, we identified major drop-offs in the top-up funnel:

  • Only ~40% of merchants clicked on top-up offers

  • Only ~40% of interested users proceeded to apply

  • Merchants couldn’t view active loan details after applying, leading to confusion and deletions

These issues directly impacted conversion, disbursal, and overall revenue potential.

Key Challenges

Key Challenges

  • Decision fatigue caused by fragmented screens and repeated choices

  • Low visibility of high-intent top-up offers

  • Lack of flexibility in loan amount & tenure for top-ups

  • Emotional friction when users faced rejection or uncertainty

  • Risk of visual bias across lenders and offers

  • Revenue leakage due to early exits and deletions

Loan Aggregation Rejection Flow

Loan Aggregation Rejection Flow

Design Objectives

Design Objectives

  • Reduce cognitive load and friction at critical decision points

  • Improve clarity, transparency, and confidence in selection

  • Make comparisons quick and intuitive

  • Smoothen rejection and recovery flows

  • Increase funnel conversions without biasing lender visibility

Top-up Journey

Top-up Journey

What I designed

What I designed

I redesigned the merchant loan experience across Loan Aggregation and Top-Up journeys to reduce friction, improve clarity, and increase conversion.

  • Unified lender selection & offer view into a single screen to simplify comparison and reduce drop-offs.

  • Enabled quick re-selection by allowing one-click lender changes and clearly deprioritising rejected lenders.

  • Designed a comparison-first layout highlighting key decision factors like APR, EMI, tenure, and fees.

  • Improved top-up discovery through high-visibility banners, clearer CTAs, and urgency cues.

  • Added flexibility in top-up offers, allowing merchants to adjust loan amount and tenure with improved EDI comparison.

    Behavioral Shifts Observed

    1. ~18% users modified loan amount

    2. ~9% users opted for highest tenure (earlier lowest tenure was default)

    3. ~1% uplift in offer acceptance (expected to grow further)

  • Ensured post-application transparency by surfacing active loan details, reducing confusion and deletions.

Loan Aggregation data showing 4% click rate increase over 10% rollout

Loan Aggregation data showing 4% click rate increase over 10% rollout

Top-up data showing a 10% click-rate increase, adding ₹20 crore in monthly revenue.

Top-up data showing a 10% click-rate increase, adding ₹20 crore in monthly revenue.

Results and Impact

Results and Impact

₹20 cr+

Additional monthly revenue on top up loan

₹20cr+

Additional monthly revenue on top up loan

7%

Decrease in drop-off in loan aggregation journey

Decrease in drop-off in loan aggregation

7%

Loan Aggregation - Key Metrics Improvement
Offer-viewed → Apply-click (most important stage)

  • Phase 1: 57.38%

  • Phase 2: 61.42%

  • +4.04% absolute uplift (≈7% relative improvement)

Top-Up Funnel Impact

  • ~14% increase in top-up banner CTR

  • ~10% uplift in Loans tab engagement

  • Higher application creation rate expected post full rollout

  • Average top-up loan tenure increased by 1 month

  • Overall top-up funnel conversion improved from 4.65% → 8.4%

  • Delivers ~₹20 Cr additional monthly revenue vs older experience

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