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Additional Data for a More Accurate Credit Risk Assessment

Strengthen your existing scoring models with technical and behavioral signals. JuicyScore helps financial institutions better segment the flow of applications, assess the risk of new customers and make more accurate decisions — without relying on direct user identifiers.

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More Signals for an Accurate Borrower Assessment

JuicyScore analyzes more than 65,000 technical and behavioral parameters of the device and the digital session. Based on them, structured variables and risk indicators are generated that can be used in the client’s models alongside application data, credit bureau information and internal history.

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    When Standard Data Is Not Enough

    • iconComplement credit history and application data with device and digital environment signal
    • iconAssess new customers and borrowers with limited credit history more accurately
    • iconAnalyze the internet connection, device parameters and behavior during application filling
    • iconObtain additional variables for the scoring model in production
    • iconImprove risk segmentation without complicating the customer journey
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    Which Additional Signals Help Assess Credit Risk

    Disposable Income Estimate

    Aggregated model-based estimate built on technical and behavioral data.

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      Complements application data with new context

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      Helps segment applications and assess solvency

    Device Quality and Its Performance

    Device characteristics help complement the picture of the user’s digital environment.

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      Device class, amount of memory and storage

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      Performance and operational stability

    Practical Value

    What Additional Variables Bring to the Credit Model

    Standard data remains the basis of the credit decision, but it is not always enough to confidently separate applications by risk level — especially when dealing with new customers and borrowers with limited credit history.

    JuicyScore complements the assessment with technical and behavioral variables. They can be used in production models, rules and segmentation strategies to identify risk groups more accurately without complicating the customer journey.

    The variables can be integrated selectively: in scoring models, specific rules and manual review scenarios — only where they truly add extra value.

    See How We Spot Fraud Before It Happens — Book Your Expert Session

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      See It in Action with a Real Expert

      Get a live session with our specialist who will show how your business can detect fraud attempts in real time.

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      Explore Real Device Insights in Action

      Learn how unique device fingerprints help you link returning users and separate real customers from fraudsters.

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      Understand Common Fraud Scenarios

      Get insights into the main fraud tactics targeting your market — and see how to block them.

    Our Contacts:

    Phone:+971 50 371 9151

    Email:sales@juicyscore.ai

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    Learn How It Works

    Utilizing over 65,000 data points, JuicyScore generates highly predictive risk score models to detect fraud and assess risk in real time. Our output data vector includes device intelligence, user behavioral patterns, internet connection insights, and software data for precise decision-making. Protect your business with advanced fraud prevention while ensuring a seamless customer experience.

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    Questions and Answers

    What Is Important to Know about Credit Scoring with JuicyScore

    Does JuicyScore Replace Credit Scoring?

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    JuicyScore does not build the credit model in place of the client and does not make the lending decision. We provide additional technical and behavioral variables that can be used in the existing risk assessment model.

    Why Use Additional Data if Credit History Is Available?

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    Credit history and application data remain key sources of information. But they do not always provide enough context to separate the flow accurately, especially when dealing with new customers and borrowers with limited credit history. Additional signals help expand the model’s feature set.

    What Data Does JuicyScore Analyze?

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    Depending on the type of integration, JuicyScore analyzes parameters of the device, the internet connection, the digital environment and the user’s behavior during the session. We do not rely on direct user identifiers such as name, phone number or email.

    Is It Possible to Test the Value of the Variables before Full Implementation?

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    Yes. During the pilot phase, the client can verify the informativeness of specific variables on their own portfolio and determine which features provide additional discriminating power.

    Who Will Find the Solution Useful?

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    The additional variables can be useful for banks, digital lenders, BNPL services and other financial institutions that use their own risk assessment models.