Have You Ever Encountered These Challenges?

Low User Information Coverage

Your company has limited user information while external credit reports do not cover all new users

Ineffective Risk Control Model

Your company faces bottlenecks in risk control model and needs more diverse data to improve model effectiveness

Lack of Customer Risk Assessment

To improve the operational efficiency of existing users, it is required to consider both willingness and risks

Unstable Data and Lack of Model Diversity

Externally collected third-party data have fewer derivatives and are less traceable. It is hard to decompose the characteristics of "scores" and to tailor characteristics or models

FinTech Product Functions

Why Should You Choose FinTech?

Wide Data Coverage

Installed in more than 1.4 million apps in China, our SDKs have covered more than 90% of mobile devices in China, monitoring 1.36 billion active devices each month. Our data cover 2 million+ apps in 22 industries and 206 sub-industries.

Data Compliance and Fast Update

The data are all collected through our SDKs, which are more compliant and risk-free. With the response time within 200 milliseconds and automated data collection systems, daily data updates can be ensured.

Wide Indicator Coverage

We can fully analyze user behaviors based on thousands of special risk factors, and provide traceable financial, population attributes, hobbies, and other related factors based on scenario needs.

More Flexible Ways to Access Data

We support joint modeling, flexible deployment, offline batch processing, and invoking interface online.

Application Scenario

Pre-loan

  • User acquisition

  • Portraits

  • Anti-fraud

  • Access to credit granting

User grouping

risk factors、iAudience tags

Fraud grading

Negative behaviors、Blacklist、risk factors

Loan-In

  • Credit limit increase

Risk control grading

risk factors

Post-loan

  • Post-loan management

  • Overdue collection

Abnormal behavior alarms

Abnormal behaviors、risk factors

Solvency assessment

risk factors、iAudience tags

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