Skip to main content

Documentation Index

Fetch the complete documentation index at: https://docs.pingtree.com/llms.txt

Use this file to discover all available pages before exploring further.

Fraud Detection helps identify and block potentially fraudulent leads by evaluating IP addresses, user agent signatures, and other device metadata.

Source-Level Fraud Detection

Configuration Path:
Sources > Single View > Integrations Tab > Fraud Detection
integrations

Functionality:

  • Enable the Fraud Detection toggle to activate fraud scoring on leads submitted through the Lead Form API, Ping API, and Post API.
  • Define a fraud score range. Leads whose score falls within this range will be automatically rejected and not stored.
  • You may optionally:
    • Enable Store Rejected Lead: This stores leads even if they’re flagged as fraudulent.
    • Enable Force Process Lead: Processes and distributes the lead despite its fraud score classification.

Fraud Score Classifications:

Score RangeClassification
0–24Good
25–49Warning
50–74Poor
75–100Bad
Tip: Use score-based rejection to optimize quality and reduce invalid lead risk.

Funnel Form Flow Step-Level Fraud Detection

Configuration Path:
Campaign > Funnel Builder > Form Flows > [Step] > Settings Sub-tab > Check Fraud Detection
integrations

Functionality:

  • Enable the Check Fraud Detection toggle on a specific step.
  • This triggers fraud scoring logic on the form flow, leveraging source-linked configuration.
  • The following values are stored in the lead record for each submission:
    • fraud_score: Numeric value (0–100)
    • fraud_class: Score classification label (Good, Warning, Poor, Bad)

Note: Funnel-level fraud detection honors the source’s fraud configuration, but allows step-specific enforcement within the lead journey.