Use real-time data to increase engagement with push notifications about events like early direct deposit or point-of-sale alerts.
Our In-Auth feature uses real-time data to empower you to override transaction decisioning based on the nuanced context you have about your user.
Enable real-time integration with third-party tools and technology like fraud engines and data platforms.
Use batch files for analysis across multiple systems, enabling data-driven logic for functions like automatic ATM rebates and card rewards.
Trend-based fraud monitoring—enhanced with machine learning—allows you to identify and stop fraud with user- or program-level controls.
Analyze usage—token status, balances, direct deposit—to understand program health and make changes to drive adoption, engagement, and revenue.
Turn raw data into business intelligence with analysis of:
Test the performance of a rewards campaign with a small segment. Analyze the behavior and transactions of the test group from reports, then use insights learned to refine and optimize a campaign to a larger segment.
Unique experiences take real-time data. Batch data alone falls short.
Our two-tier model is designed to meet your needs, while always protecting you with baseline fraud rules and risk scoring.
Created for: Fintechs and brands that need external fraud support
Includes: Data analysis, fraud rules, and an expert to help you understand fraud trends and prevent fraud events
Created for: Fintechs and brands with internal resources to manage their own fraud experience, including data analysis and fraud rules
Includes: Direct, real-time access to Visa DPS’s robust risk application to manage your program