Stopping the Cash Bleed: Leading SEA Neobank Saves $1.8M Annually on Fake Signups
Aggressive growth targets led to massive abuse of their "Invite a Friend, Get $10" program. Talox identified device farms draining their marketing budget.
The Challenge
To capture the Southeast Asian market, the bank launched a generous referral bonus. While user numbers skyrocketed, transaction activity remained suspiciously low. They discovered organized "device farms" using emulators and scripts to create thousands of fake accounts just to harvest the sign-up bonus.
Device Farms
Organized operations running hundreds of emulators to farm signup bonuses
Inflated CAC
Marketing spend going to fraudulent accounts, destroying ROI metrics
Low Activity
High user counts but minimal real transactions indicated fake signups
The Customer Acquisition Cost (CAC) was significantly inflated because the marketing team was paying $10 bonuses to bots instead of real customers. Data-driven decisions became impossible with polluted user metrics.
The Solution: Talox Detect
Talox was deployed at the sign-up and referral redemption API endpoints. By analyzing device fingerprints, network velocity, and emulator signatures, Talox differentiated between genuine new users and scaled abuse operations, blocking payouts to shadow users instantly.
Key Implementation Features
Device Fingerprinting
Unique device identification across resets
Network Velocity Analysis
Detecting abnormal signup patterns from same networks
Emulator Detection
Identifying virtual devices and automation tools
API Integration
Deployed at signup and redemption endpoints
The Results
The bank immediately stopped $150,000 per month in wasted bonus payouts. The marketing team could finally rely on their data, reporting a true 22% decrease in real Customer Acquisition Cost once the fraud was removed.
Wasted bonus payouts stopped immediately
True cost after removing fraudulent signups
Data Reliability Restored
With fake accounts blocked, the marketing team could finally trust their metrics and make data-driven decisions about campaign optimization and budget allocation.