Power your Fraud Prevention with Behavioral Data
As global business shifts increasingly online, fraud has surged, with the Association of National Advertisers reporting that digital ad fraud currently costs businesses $120bn annually. From ad fraud plaguing media companies to transaction fraud in fintech, businesses face an urgent need to safeguard their operations while maintaining seamless customer experiences.
Organizations face increasing complexity in detecting and preventing fraud while maintaining seamless customer experiences.. Key challenges include:
- Access to clean, granular data for model training
- Need for real-time processing to block fraudulent activities
- Security and governance concerns with sensitive data
- Growing sophistication of fraud attempts across channels
- Balancing fraud prevention with customer experience
The Power of Behavioral Data for Online Fraud Detection
Snowplow delivers comprehensive behavioral data through a secure, cloud-native architecture:
Rich Data Collection
- User behavioral data (pageviews, clicks, scrolls)
- Transaction events
- Device information
- Geolocation data
- Session metrics
- Custom event tracking
Real-Time Processing
- Immediate event streaming
- Instant anomaly detection
- Real-time risk scoring
- Immediate response triggers
Data Quality & Security
- Schema validation for every event
- Complete data ownership in your cloud
- Comprehensive data governance
- Privacy regulation compliance
Common Online Fraud Detection Patterns
Snowplow helps identify suspicious patterns across multiple dimensions:
User Behavior Anomalies
- Unusual login patterns
- Multiple failed login attempts
- Cross-device inconsistencies
- Suspicious form-fill speeds
Transaction Red Flags
- Orders from different locations in quick succession
- Unusual transaction values or quantities
- Multiple refund requests
- Suspicious booking patterns
Velocity Metrics
- Actions per minute monitoring
- Rapid-fire interactions
- Automated script detection
- Session frequency analysis
Technical Implementation
Snowplow provides a complete customer data infrastructure for online fraud detection:
- Data Collection & Enrichmentsome text
- IP lookup capabilities
- User-agent parsing
- Referrer analysis
- Event deduplication
- Custom event tracking
- Real-Time Processingsome text
- AWS Kinesis integration
- GCP Pub/Sub support
- Immediate event streaming
- Real-time scoring
- Model Development Supportsome text
- Clean, consistent data format
- Rich feature engineering possibilities
- Historical data access
- Continuous model refinement
- Deployment Optionssome text
- Private cloud deployment
- Secure data environment
- Integration with existing systems
- Customizable implementation
Why Choose Snowplow?
Snowplow Customer Data Infrastructure (CDI) equips companies with the tools to combat fraud effectively:
Complete Data Control
- Private cloud deployment
- Full data ownership
- Comprehensive governance
- Privacy compliance
Rich Behavioral Insights
- Detailed user interactions
- Cross-platform tracking
- Custom event capture
- Complete event history
Real-Time Capabilities
- Immediate data processing
- Instant anomaly detection
- Real-time scoring
- Quick response triggers
Data Quality
- Schema validation
- Consistent formatting
- Clean data structure
- Complete lineage
Case Study: Leader in Banking
A leader in digital banking, leverages Snowplow to bolster its online fraud detection capabilities. By deploying Snowplow within its private cloud environment, they are able to achieve:
- Real-Time Fraud Prevention
- Enhanced Model Accuracy
- Data Governance
Request a Demo
Online fraud detection is a critical priority in today’s digital-first world. Snowplow empowers businesses with the data infrastructure they need to stay ahead of evolving threats. Discover how Snowplow can transform your online fraud detection strategy—request a demo today.