Segmented on documentation reality
Moved away from income-based segmentation alone and grouped buyers by the reality of their paperwork — a much better predictor of where they'd struggle in the process.
Case study · BFSI · Positioning & GTM
Repositioned a ₹5,300 Cr mortgage business around trust and access.
Mortgages are an opaque, verification-heavy category where the real growth lever isn't a feature or a rate — it's trust. Fixing that meant rethinking the entire journey, not just the marketing around it.
The problem
Verification was the highest-anxiety, highest-drop-off stage — and no one was designing for it.
Traditional mortgage marketing leans on rate and eligibility messaging, but for a large share of real buyers — especially those with less conventional income documentation — the actual barrier was trust in the process itself: would they be treated fairly, would their paperwork be understood, would the verification stage drag on indefinitely. That anxiety was quietly costing the business qualified applicants well before pricing ever became the deciding factor.
What we did
Segmented on documentation reality, then redesigned around the anxiety point.
Mapped the full journey
Traced the buyer journey end to end and confirmed verification as the single highest-anxiety, highest-drop-off stage — the point most likely to lose an otherwise qualified applicant.
Built an industry-first partnership model
Partnered with intermediaries across the entire home-buying journey — not just the loan step — so trust was built earlier and reinforced at every stage, not only at the point of application.
The result
A trust-first model, proven at real scale.
₹5,300 Crmortgage book
Industry-firstend-to-end journey partnership model
"Nidhi Mahule is a self-driven & ambitious professional... She exercises a high degree of influence on key stakeholders and is thus able to manage complex relationships in a matrix organization with ease.
Rajat AvasthiManaging Director & CEO · Edelweiss Housing FinanceOn the ₹5,300 Cr mortgage repositioning
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