Detecting Fraud in Travel Call Campaigns

Protecting Call Campaigns from Bad Actors

There are many fraud threats against pay per call marketers, including fake calls from competitors, number recycling by lead sellers, and bot simulations for call conversion. Advanced fraud detection starts from the analysis of call patterns: repeated calls from the same number with the same or similar duration parameters can be flagged as potential fraud calls. Voice biometrics can flag fraudsters who are known but are using different numbers, while behavioral analysis sheds light on the flow of suspicious calls like instant hang up after minimum duration calls. Call quizzes asking questions only legitimate customers would know (“What problem are you trying to solve?”) filter out tons of automated attacks. A real time scoring system should analyze multiple factors such as call origins, device types, and interaction patterns to approve pay per call charges.

Recognizing and Blocking Fake Inquiries

The layered approach to the prevention of fraud will embody a combination of technological and procedural countermeasures and will include audio fingerprinting for robocall detection, STIR/SHAKEN authentication to confirm caller ID verification, and velocity checks that limit blocks of calls originating from one source. Process measures, on the other hand, should focus on a manual review of high risk calls prior to payment, verification calls to ascertain lead validity, and contracts with lead providers to afford protection. Stated systems use machine learning to refine themselves against the evolving patterns of fraud and improve detection over time. In the meantime, share blocklist among campaigns while respecting applicable privacy regulations. For high worth conversions, post call verification steps should be made, such as email validation or callback authentication. Regular fraud audits should be conducted to analyze the recordings of calls, conversion rates, and payer chargebacks with the aim of identifying emerging threats.

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