Unlock the full potential of your risk, fraud, and marketing management and strategies with Credolab's highly predictive scores.
Leverage advanced features from behavioural biometrics and device metadata to enhance predictive accuracy, identify risky applicants, and optimise customer engagement, delivering superior outcomes and better decisions.
We analyse
Risk scores
Risky behaviours that are predictive of a future payment default like First Payment Default (FPD), 30DPD-3MOB, lapse of an insurance policy.
Fraud scores
Fraudulent behaviours that are similar to confirmed fraudulent cases such as ID fraud, bonus abuse, loyalty points abuse, insurance claim.
Marketing Scores
Propensity of app and website users to perform a particular action: apply for a loan or credit card, subscribe, become dormant, or churn.
Scores we analyse
Very predictive and accurate scores delivered via one API in real time.
Risk Score
Evaluate the probability of default for every applicant, including thin-files
Fraud Score
Assess similarities to confirmed fraudulent applicants or users
Propensity Score
Identify the probability of users to apply, accept an offer, or churn
Bonus Abuse Score
Estimate the probability of users to exploit loyalty points or bonuses
Collections Score
Predict the probability of repayment from delinquent customers
Insurance Score
Calculate the probability of policy lapses and claims
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Benefits
Leverage more predictive scores to improve your existing risk, fraud and marketing models, even in the absence of credit bureau, transactional or activity data.
Detect fraud
Approve more genuine customers
Know your customers better
Reduce cost of risk
Eliminate fraud
Improve marketing