Affiliate fraud protection for insurance

Insurance programmes combine high CPL rates, straightforward conversion criteria, and publicly available data that makes fake submissions easy to construct. A fraudster can fabricate a motor insurance quote request using public vehicle registration data and a plausible address, triggering a commission payout before the fraud is detected. The combination of high value per lead and low effort per submission makes insurance one of the most-targeted affiliate programme categories.

Lead farming involves building or purchasing databases of personal details and submitting them systematically as quote requests across multiple insurance programmes. The same individual's data may generate commissions from your programme and several competitors simultaneously. Tapper identifies lead farming through velocity analysis, device clustering, and submission pattern detection, flagging operations that are generating high volumes of structurally similar submissions across short time periods.

Yes. Insurance firms processing personal data from fraudulent affiliate submissions may be handling information that was obtained without genuine consent, which creates obligations under GDPR and FCA data handling rules. If fraudulent leads are used in pricing model development or risk assessment, the downstream compliance implications extend further. Tapper's fraud reporting provides documentation that supports audit trails and demonstrates that the firm applied due diligence at the point of lead acceptance.

Yes. Comparison sites and aggregators are typically lower-risk publisher categories because they are vetted businesses with genuine traffic. However, Tapper monitors all publisher types within your programme. Comparison publishers can still be targets for click stuffing attacks or last-click attribution abuse, and Tapper's per-publisher reporting gives you visibility across all publisher segments.

Tapper detects lead farming patterns through real-time velocity and clustering analysis. New farming operations are typically identified within the first batch of submissions, often within hours of the operation beginning. The combination of device fingerprint clustering, IP pattern analysis, and submission data consistency checks allows Tapper to detect farming activity before significant commission exposure has accumulated.

Tapper generates a detailed evidence report for each flagged submission, including device fingerprint data, session behaviour scores, IP and connection signals, submission timing patterns, and data quality indicators. This documentation provides the evidence base for commission clawback requests to affiliate networks and supports internal audit and compliance review processes.