This company helps marketers improve their campaigns by using better customer data. They clean, enrich, and manage customer information so that people see more relevant ads. They help you identify your audience better and make sure your advertising and marketing are more effective. They also focus on making sure your data is accurate and up-to-date.
These are public claims Blurbs AI believes to have been made by TransUnion.
robust monitoring services
TransUnion claims that their credit monitoring services offer robust features like daily score updates, 3-bureau monitoring, alerts, and up to $1MM in ID theft insurance.
credit management tools
TransUnion claims that they provide powerful credit management tools like Score Simulator to help users understand and improve their credit potential.
educational resources
TransUnion claims that they offer awide range of educational resources and credit advice to help consumers better understand and manage their credit health.
PERFORMANCE MARKETING
BlurbSTAR Case Study
Telecommunications Company & TransUnion
TransUnion prevented synthetic fraud with advanced detection techniques.
45%
Prior to using TransUnion, 45% of attempts were undetected.
80%
80% of investigated samples returned high fraud risk scores.
This profile remains unclaimed. Blurbs can only offer a partial, unverified case
study.
1.
Situation
A telecommunications company was unable to prevent instances of fraud despite implementing standard fraud checks. Suspecting a potential fraud ring, they contacted TransUnion for assistance.
2.
Task
TransUnion needed to investigate and identify synthetic identities, where fraudulent data or combinations of real data elements were affecting the client.
3.
Action
TransUnion leveraged its TruValidate Synthetic Fraud Model and TruLookup platform to analyze customer behavior and flag high-risk accounts. Special attention was given to identifying anomalies such as multiple identities tied to single addresses.
4.
Result
The implementation of the TruValidate Synthetic Fraud Model enabled the telecom company to detect synthetic fraud at the application stage, reducing the number of fraudulent accounts and maintaining operational efficiency. They also started requesting additional proof of life, deterring fraudsters significantly.
Keywords
SYNTHETIC FRAUD PREVENTION
TRUVALIDATE SYNTHETIC FRAUD MODEL
TELECOMMUNICATIONS FRAUD DETECTION
FRAUD RISK MANAGEMENT
TRANSUNION FRAUD SOLUTIONS
The Blurbs 20
20 Frequently Asked Questions
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