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Alternative Credit Scoring: Building Trust From Digital Footprints 

Alternative Credit Scoring: Building Trust From Digital Footprints 

With nearly 3 billion people still excluded from formal credit systems—especially across emerging markets—it’s clear that traditional scoring models haven’t kept pace. Millennials, Gen Z, gig workers, migrants, and digital-first borrowers often operate outside the frameworks that legacy systems were built for.

Our new white paper, Alternative Credit Scoring: Building Trust from Digital Footprints, explores what comes next.

This global gap calls for a smarter, more inclusive approach. One that goes beyond bank statements and bureau data, and taps into the digital footprints people leave every day—online purchases, geolocation consistency, utility bills, and even how they type or move through apps. When used responsibly, these signals can build a fuller, fairer picture of someone’s financial identity.

Inside the white paper

equal
Traditional vs/plus alternative scoring
person
Social media 
and digital profiles
chain
Social graphs
steps
Digital footprint analysis
home
Rent and utilities
eye
Behavioral data
mail
Email data
phone
Telco data
web
IP data

This report combines Scoreplex’s alternative data know-how with GiniMachine’s AI capabilities to help you unlock new borrower segments and detect risk earlier. If you’re building the future of credit, this is your starting point.

Get your white paper
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