𝐀𝐭𝐭𝐫𝐢𝐛𝐮𝐭𝐢𝐨𝐧 𝐃𝐞𝐜𝐚𝐲 𝐃𝐮𝐞 𝐭𝐨 𝐃𝐞𝐥𝐚𝐲𝐞𝐝 𝐊𝐘𝐂 𝐂𝐨𝐦𝐩𝐥𝐞𝐭𝐢𝐨𝐧𝐬

 

In digital lending funnels, delayed KYC completion distorts attribution models by disconnecting acquisition touchpoints from eventual disbursals. This decay misallocates marketing budgets and underestimates high-intent channels.

 

𝐖𝐡𝐲 𝐚𝐭𝐭𝐫𝐢𝐛𝐮𝐭𝐢𝐨𝐧 𝐝𝐞𝐜𝐚𝐲 𝐦𝐚𝐭𝐭𝐞𝐫𝐬?

·         Misattributes 15–25% of funded loans

·         Inflates CAC for slow-converting cohorts

·         Distorts channel ROI comparisons

·         Delays performance optimisation cycles

·         Undermines budget forecasting accuracy

 

Time-adjusted attribution restores economic clarity in KYC-driven funnels.

📞 𝐂𝐨𝐧𝐭𝐚𝐜𝐭 𝐮𝐬: +𝟗𝟏 𝟗𝟏𝟑𝟕𝟐 𝟓𝟔𝟏𝟓𝟎

𝐌𝐢𝐜𝐫𝐨-𝐂𝐫𝐞𝐝𝐢𝐭 𝐋𝐚𝐝𝐝𝐞𝐫𝐬 𝐚𝐬 𝐂𝐀𝐂-𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐭 𝐍𝐓𝐁 𝐄𝐧𝐭𝐫𝐲 𝐏𝐨𝐢𝐧𝐭𝐬

 

For New-to-Bank (NTB) customers, micro-credit ladders offer low-risk, low-ticket entry into formal lending. Graduated exposure builds repayment history while optimising acquisition economics.

𝐖𝐡𝐲 𝐦𝐢𝐜𝐫𝐨-𝐜𝐫𝐞𝐝𝐢𝐭 𝐥𝐚𝐝𝐝𝐞𝐫𝐬 𝐰𝐨𝐫𝐤?

• Reduce effective NTB CAC by 30–45%
• Improve repeat-loan conversion by 40%+
• Lower early delinquency via small-ticket testing
• Build bureau footprint progressively
• Increase CLTV through structured ticket upgrades

Micro-lending ladders convert first-time borrowers into long-term portfolio assets.

 📞 𝐂𝐨𝐧𝐭𝐚𝐜𝐭 𝐮𝐬: +𝟗𝟏 𝟗𝟏𝟑𝟕𝟐 𝟓𝟔𝟏𝟓𝟎

𝐄𝐕 𝐂𝐡𝐚𝐫𝐠𝐞𝐫 𝐈𝐧𝐬𝐭𝐚𝐥𝐥𝐚𝐭𝐢𝐨𝐧 𝐏𝐚𝐫𝐭𝐧𝐞𝐫𝐬 𝐚𝐬 𝐋𝐨𝐚𝐧 𝐀𝐜𝐪𝐮𝐢𝐬𝐢𝐭𝐢𝐨𝐧 𝐍𝐨𝐝𝐞𝐬

 

As EV adoption accelerates, charger installation partners are emerging as high-intent loan acquisition nodes. Financing at the point of infrastructure setup captures demand when capex commitment is highest.

 

𝐖𝐡𝐲 𝐄𝐕 𝐩𝐚𝐫𝐭𝐧𝐞𝐫-𝐥𝐞𝐝 𝐚𝐜𝐪𝐮𝐢𝐬𝐢𝐭𝐢𝐨𝐧 𝐰𝐨𝐫𝐤𝐬

 

* Deliver 2–3X higher conversion at point-of-need

* Reduce CAC by 35–50% versus paid media

* Improve approval rates through asset-backed context

* Shorten disbursal TAT with embedded APIs

* Strengthen cross-sell into EV ecosystem services

 

Infrastructure touchpoints are becoming powerful credit distribution channels.

 

📞 𝐂𝐨𝐧𝐭𝐚𝐜𝐭 𝐮𝐬: +𝟗𝟏 𝟗𝟏𝟑𝟕𝟐 𝟓𝟔𝟏𝟓𝟎

𝐃𝐲𝐧𝐚𝐦𝐢𝐜 𝐂𝐀𝐂 𝐂𝐞𝐢𝐥𝐢𝐧𝐠𝐬 𝐃𝐫𝐢𝐯𝐞𝐧 𝐛𝐲 𝐄𝐱𝐩𝐞𝐜𝐭𝐞𝐝 𝐅𝐢𝐫𝐬𝐭-𝐄𝐌𝐈 𝐒𝐮𝐫𝐯𝐢𝐯𝐚𝐥 𝐏𝐫𝐨𝐛𝐚𝐛𝐢𝐥𝐢𝐭𝐲

Static acquisition caps ignore early repayment risk. Forward-looking lenders now calibrate CAC ceilings using predicted first-EMI survival probability to align spend with immediate credit resilience.

 

𝐖𝐡𝐲 𝐟𝐢𝐫𝐬𝐭-𝐄𝐌𝐈 𝐬𝐮𝐫𝐯𝐢𝐯𝐚𝐥–𝐥𝐢𝐧𝐤𝐞𝐝 𝐂𝐀𝐂 𝐰𝐨𝐫𝐤𝐬:

• ·         Reduce early default rates by 20–30%
• ·         Improve risk-adjusted ROI by 25%+
• ·         Prevent overspend on fragile cohorts
• ·         Enable aggressive bids for stable profiles
• ·         Shorten payback cycles materially

 

Survival-driven CAC governance ties marketing intensity to repayment reality.

 

📞 𝐂𝐨𝐧𝐭𝐚𝐜𝐭 𝐮𝐬: +𝟗𝟏 𝟗𝟏𝟑𝟕𝟐 𝟓𝟔𝟏𝟓𝟎

𝐌𝐢𝐜𝐫𝐨-𝐌𝐚𝐫𝐤𝐞𝐭 𝐂𝐀𝐂 𝐌𝐨𝐝𝐞𝐥𝐥𝐢𝐧𝐠 𝐚𝐭 𝐖𝐚𝐫𝐝 / 𝐋𝐨𝐜𝐚𝐥𝐢𝐭𝐲 𝐋𝐞𝐯𝐞𝐥

 

 

City-level CAC averages conceal hyperlocal profitability variations. Advanced lenders now deploy ward- and locality-level CAC modelling to optimise acquisition intensity based on micro-market credit behaviour and repayment trends.

 

𝐖𝐡𝐲 𝐦𝐢𝐜𝐫𝐨-𝐦𝐚𝐫𝐤𝐞𝐭 𝐦𝐨𝐝𝐞𝐥𝐥𝐢𝐧𝐠 𝐰𝐨𝐫𝐤𝐬?

·         Improve channel ROI by 20–35%

·         Reduce delinquency pockets by 15–25%

·         Allocate spend based on locality risk scores

·         Detect saturation and fraud clusters early

·         Enhance geo-targeted pricing precision

 

Granular CAC modelling converts geography into a competitive advantage.

 

📞 𝐂𝐨𝐧𝐭𝐚𝐜𝐭 𝐮𝐬: +𝟗𝟏 𝟗𝟏𝟑𝟕𝟐 𝟓𝟔𝟏𝟓𝟎

 

𝐓𝐨𝐩-𝐔𝐩 𝐋𝐨𝐚𝐧𝐬 𝐚𝐬 𝐍𝐞𝐚𝐫-𝐙𝐞𝐫𝐨 𝐂𝐀𝐂 𝐆𝐫𝐨𝐰𝐭𝐡 𝐄𝐧𝐠𝐢𝐧𝐞𝐬

 

Top-up loans leverage existing borrower relationships, delivering incremental growth without incremental acquisition cost. With pre-validated credit behaviour, they offer superior economics and faster deployment.

 

𝐖𝐡𝐲 𝐭𝐨𝐩-𝐮𝐩𝐬 𝐝𝐫𝐢𝐯𝐞 𝐞𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐭 𝐬𝐜𝐚𝐥𝐞

·         Reduce effective CAC by 70–90%

·         Achieve approval rates above 60%

·         Lower early delinquency by 15–25%

·         Enable instant, pre-approved disbursals

·         Increase CLTV through ticket expansion

 

Top-ups convert portfolio depth into compounding, low-cost growth.

📞 𝐂𝐨𝐧𝐭𝐚𝐜𝐭 𝐮𝐬: +𝟗𝟏 𝟗𝟏𝟑𝟕𝟐 𝟓𝟔𝟏𝟓𝟎

𝐓𝐫𝐮𝐬𝐭-𝐏𝐫𝐨𝐱𝐲 𝐌𝐨𝐝𝐞𝐥𝐥𝐢𝐧𝐠 𝐟𝐨𝐫 𝐙𝐞𝐫𝐨-𝐁𝐮𝐫𝐞𝐚𝐮 𝐂𝐮𝐬𝐭𝐨𝐦𝐞𝐫𝐬

 For zero-bureau or thin-file borrowers, traditional credit assessment fails to capture repayment intent. Trust-proxy modelling leverages alternative behavioural and transactional indicators to underwrite risk intelligently.

 

𝐖𝐡𝐲 𝐭𝐫𝐮𝐬𝐭-𝐩𝐫𝐨𝐱𝐲 𝐦𝐨𝐝𝐞𝐥𝐬 𝐦𝐚𝐭𝐭𝐞𝐫

·         Improve approval rates by 15–25% in NTB segments

·         Reduce early delinquency by 10–20%

·         Utilise cashflow, device and digital footprint signals

·         Expand inclusion without inflating NPAs

·         Optimise risk-based pricing dynamically

 

Trust-proxy intelligence enables responsible expansion into underserved markets.

📞 𝐂𝐨𝐧𝐭𝐚𝐜𝐭 𝐮𝐬: +𝟗𝟏 𝟗𝟏𝟑𝟕𝟐 𝟓𝟔𝟏𝟓𝟎