Overview
Atto Score uses real-time bank transaction data and predictive models to help businesses optimize approval rates, profitability, and customer retention while minimizing unexpected losses. It offers a comprehensive view of a portfolio’s lifetime value and is designed to be used throughout the entire customer lifecycle. This provides risk managers with a powerful tool to project a customer’s risk profile, identify potential risks early, and make faster, more informed decisions to reduce bad debt and maximize profitability.
By leveraging bank transaction information, lenders can make more accurate lending decisions, especially for individuals with limited credit history or unconventional financial profiles. This broader view of an individual’s financial health enables better risk assessment and the ability to offer tailored financial products and services.
The Atto score will be calculated only for the Personal Current accounts in GBP. The account should have at least 90 days of transactional history during the last 365 days and 50+ transactions over the last 90 days.
Note: Atto Score is currently in Beta. Decisions should not be made solely based on this score.
API Response Fields
When retrieving Atto Score data, the API provides key fields that offer precise insights into customer risk and financial health:
attoScore: The score generated for the account.probabilityOfDefault: The likelihood of the account defaulting (0.0-1.0).dateGenerated: The date when the Atto Score was generated.version: The version of the model used to compute the score.range:minScore: The minimum score value possible for this version.range:maxScore: The maximum score value possible for this version.
API Schema and Response
Use Cases
Risk Management
Atto Score enables risk managers to identify and mitigate risks early by utilizing real-time financial data. Businesses can detect warning signs of financial distress and reduce bad debt more effectively.
Example:
A lender can predict a customer’s propensity to repay a loan by analyzing spending patterns, income stability, and account balances, enabling more accurate risk-based decisions.
Origination
Atto Score supports smarter loan origination by helping lenders assess applicants with limited or non-traditional credit histories. By analyzing bank transaction data, businesses can better evaluate financial health and offer personalized products.
Example:
A first-time borrower with no credit history but steady income and responsible financial habits could qualify for a loan, promoting financial inclusion while maintaining profitability.
Collections
Improve recovery strategies with Atto Score by predicting a customer’s ability to repay. The insights allow for tailored repayment plans and help prioritize high-risk accounts for early intervention.
Example:
Collections teams can identify customers likely to default in the short term and offer flexible repayment plans, improving recovery rates.
Modelling
Enhance financial models with Atto Score’s real-time transaction data, providing accurate inputs for predictive models. This enables businesses to forecast trends and outcomes with confidence.
Example:
Build dynamic credit risk models that adapt to changing customer behaviors and market conditions, reducing reliance on outdated data sources.
Portfolio Monitoring
Gain a comprehensive view of your portfolio’s health and lifetime value with Atto Score. It helps businesses monitor trends, detect anomalies, and address risks proactively to ensure long-term profitability.
Example:
A portfolio manager can use Atto Score to identify high-performing segments and those at risk, allowing for more effective resource allocation.
Why Atto Score?
Holistic Financial Insights: Go beyond traditional credit scores to understand true customer financial behaviour.
- Proactive Risk Management: Identify potential risks early to protect your bottom line.
- Inclusion for All: Serve customers with unconventional financial profiles by leveraging real-time transactional data.
- Enhanced Decision-Making: Use predictive insights to maximize approval rates, reduce churn, and boost long-term profitability.
- Automated underwriting process: Free from time-consuming routine calculations, often manual, the lender can concentrate on improving own credit risk models.