Traditional lending campaigns through SMS, email, and calls deliver low engagement and weak ROI. This article explains why WhatsApp campaigns outperform legacy channels by driving higher visibility, faster conversions, and measurable business outcomes for lenders in India.

Traditional credit checks miss early fraud and repayment risk. Learn how bank transaction patterns and device intelligence help lenders detect loan stacking, synthetic identities, and hidden intent in real time.

The Account Aggregator framework provides structured bank data, but true bank statement parsing happens through APIs and analytics layers built on top of it. This guide explains the key AA APIs, how parsed insights are generated, and why platforms like Digitap help fintechs go live faster with compliant, actionable bank data.

Video KYC has become a critical compliance and onboarding tool for the BFSI sector. This guide breaks down how VKYC works, the essential compliance requirements, top software platforms for NBFCs, and the features you should evaluate before choosing a solution.

Credit scoring is undergoing a major shift. Traditional bureau models miss millions of credit-invisible Indians, while behavioural and transactional data reveal real-world financial habits like spending patterns, income flows, and repayment behaviour.

Customer churn in insurance is driven by poor communication and low engagement through email, SMS, and IVR. WhatsApp changes this with high visibility, verified messaging, and real-time conversations that improve renewals, claims experience, and long-term loyalty. This article explores how insurers can use WhatsApp to reduce churn and build stronger customer relationships.

With WhatsApp, insurers can deliver personalised, verified, and frictionless renewal journeys that achieve 2–3x higher conversions. This article breaks down how WhatsApp drives faster renewals and how Digitap enables insurers to automate and scale them securely.

Most lenders in India don’t lack leads — they lack speed and precision in qualifying them. Manual verification and delayed follow-ups create drop-offs and waste effort. WhatsApp-based chatbots fix this. By automating engagement, running real-time eligibility checks, and personalising communication, lenders can qualify and convert borrowers faster.

Account Aggregator data gives Indian lenders a real-time, structured view of borrower cash flows—unlocking faster underwriting, reduced NPAs, and better financial visibility. This guide explains how AA-based cash flow analysis works, its key advantages, and how Digitap enables compliant, end-to-end integration.

The RBI doesn’t regulate bank statement analysers directly, but strict frameworks like KYC Master Directions, Account Aggregator rules, Fair Practices Code, and Data Protection laws to govern how financial data must be handled. This article explains how lenders can use automated analysers safely while being compliant.

Traditional loan collection channels including SMS, calls, and manual follow-ups , are losing relevance in a digital-first India. With 98% open rates and verified business profiles, WhatsApp offers lenders a faster, trusted, and conversational way to recover dues.