The Challenge
A regional retail bank was losing customers to agile fintech apps. Their customer journey was fragmented, KYC was slow and manual, and marketing spend was inefficient due to lack of attribution.
- ✕ High drop-off during 3-day manual KYC process.
- ✕ Generic offers sent to all customers (low conversion).
- ✕ Rising customer acquisition cost (CAC).
The Solution
DataLift implemented a "Modern Banking Stack" focusing on automation and personalization. We connected ad data, app behavioral data, and the core banking system into a unified view.
- ✓ Automated KYC: Document extraction reduced verification to minutes.
- ✓ Hyper-Personalization: Offers based on spending habits.
- ✓ Fraud AI: Real-time transaction monitoring.
The Financial Nucleus
Unifying transaction streams into intelligent action.
Attracting the Right Depositors
"How do we lower CAC while targeting high-value clients?"
Financial SEO Engine
We create high-converting calculators (Mortgage, Loan, Savings) and educational content that captures users during their research phase.
Multi-Channel Ad Intel
Integrating Meta, Google, and Affiliate networks to measure "Cost per Approved Application", not just cost per click.
Best Product Match
AI RecommendationPersonalized Product Matching
"Helping customers find the right financial product instantly."
Behavioral Scoring
Using age, income estimation, and spending habits to recommend the perfect card or loan.
Application Funnel Analytics
Identifying exactly where users drop off in the application form to optimize the UX.
Frictionless KYC & Security
"Balancing speed with bank-grade security."
Digital Document Intelligence
Automated extraction of data from IDs, Salary Slips, and Bank Statements using OCR. Reduces manual review by 70%.
Fraud Prediction Model
Analyzing device fingerprints and location mismatches to flag suspicious applications instantly.
Customer Activation
Driving Engagement
"Ensuring customers actually use the card, loan, or app."
Activation Nudges
Automated campaigns for users who haven't activated their card within 7 days.
Spend Categorization
Classifying transactions to show users exactly where their money goes, increasing app retention.
Maximizing Lifetime Value
Predicting needs before the customer asks.
Churn Prediction
Identifying users likely to close their account based on declining usage or large withdrawals.
Smart Upsell
Offering a "Credit Limit Increase" or "Personal Loan" to users with good repayment history at the perfect moment.
Retention Engine
Automated "Thank You" notes and loyalty rewards for long-term active customers.