Affiliate fraud protection for insurance
Insurance affiliate programmes generate some of the highest CPL rates in the industry, making them prime targets for fake quote requests, lead farming, and click stuffing. Fraudulent leads waste underwriting capacity, inflate your cost per policy, and expose your compliance function to data handling risk.
Trusted by leading brands worldwide
High CPL rates make insurance affiliate programmes the most fraud-targeted in the industry
Insurance affiliate programmes pay among the highest CPL rates in digital marketing because qualified insurance leads are genuinely valuable. A single validated motor, home, life, or health insurance quote request can command significant commissions from a genuine prospect. This value makes insurance programmes the primary target for fake quote fraud. Organised fraud operations submit fabricated quote requests with plausible vehicle registrations, addresses, and coverage details through affiliate tracking links, triggering commission payouts before underwriting teams discover that the applicants do not exist or were never genuinely seeking cover.
The underwriting impact is significant. Insurance firms that process high volumes of fraudulent affiliate leads spend underwriting capacity pricing risk for applicants who will never convert. Staff time is consumed, system capacity is used, and quote data is polluted with fabricated risk profiles. If fraudulent quote data influences pricing models, the impact extends beyond individual wasted quotes to systematic mispricing of real policies. Your pricing team is working with data that does not represent real market demand.
Lead farming is a specific threat in insurance affiliate marketing. Fraud operations build out databases of personal details, either fabricated or obtained from data breaches, and systematically submit them as insurance quote requests across multiple programmes. The same individual's details may appear as a lead in several different programmes simultaneously, generating multiple commission payouts from the same fraudulent submission. Tapper cross-references submission signals, device data, and behavioural indicators to identify lead farming operations and systematic fake quote generation before commissions are paid.
How Tapper protects insurance advertisers on Affiliate
Three steps from connection to clean data, no engineering required.
01
Integrate with your insurance affiliate programme and quote platform
Tapper connects to your affiliate network and quote management system, monitoring every click and form submission across all publisher sources in your programme.
02
Fake quote requests identified through multi-signal analysis
Each quote submission is scored against device fingerprints, session behaviour, data quality indicators, IP signals, and submission velocity patterns to identify fraudulent requests before they reach your underwriting pipeline.
03
Underwriting capacity and commission budget both protected
Fraudulent quote requests are excluded before entering your underwriting systems, protecting both your commission spend and the staff time consumed processing applications that will never convert to policies.
Ad fraud in insurance by the numbers
Data from Tapper's platform analysis and published industry research.
10-15%
Of insurance affiliate spend lost to fraud on average
64%
Of affiliate programmes experience significant fraud
45%
Of insurance CPL leads show quality fraud indicators
How much are you losing to click fraud?
Based on a 16% fraud rate for Insurance on Affiliate. Move the slider to see your estimated monthly loss.
Industry
Insurance
16% fraud rate
Monthly spend
$1,000
Avg. cost per acquisition (CPA) (optional)
Your estimated numbers
Monthly fraud loss
$160
Annual fraud loss
$1,920
Monthly budget recovered with Tapper
$136
Tapper vs Affiliate Network Fraud Detection
See exactly where the gaps are, and why they matter to your insurance campaigns.
Fake quote request detection
Device, session, and data quality analysis per submission
Known bad IP blocklisting only
Lead farming identification
Cross-submission pattern analysis and velocity detection
No cross-submission analysis
Data quality validation
Submission data consistency cross-referenced with behavioural signals
No data quality layer at affiliate detection stage
Underwriting pipeline protection
Fraudulent submissions excluded before pipeline entry
All submissions enter underwriting, manual filtering required
Detection speed
Under 3 seconds per quote submission
Post-underwriting reconciliation
Publisher-level fraud reporting
Per-publisher fraud rate with evidence for each flagged submission
Aggregate programme-level alerts
Commission protection
Fraudulent leads excluded before commission calculated
Disputes and clawbacks after payment issued
Trusted by industry leaders
See how companies are protecting their ad budgets and improving ROI with Tapper.
“Tapper played a key role in improving the efficiency of Du's performance marketing activity by addressing traffic quality issues within campaigns. Following implementation, Du achieved a 13% reduction in CPA and an 8.6% increase in order rate, demonstrating a clear improvement in conversion quality and overall campaign effectiveness.”
Joseph Elbcherrawy
Client Leadership Director, Mindshare, a WPP Media Brand
“During our Tapper trial for INFINITI, we uncovered low-quality traffic that wasn't visible inside the platforms. Removing it delivered a 14% uplift in conversions and an 11.4% reduction in CPA - a meaningful efficiency gain for INFINITI's 2026 growth plans.”
David Barnes
Data & Technology Lead, Omnicom Group
“With Tapper's protection we were able to identify and block invalid clicks in real time. The impact was immediate as our cost per acquisition dropped by 30% and ROAS improved significantly. More importantly, Tapper gives us the confidence that our campaigns are reaching genuine customers, which makes it truly invaluable.”
Dimitris Bakas
Senior Performance Marketing, Public Group
“We started using Tapper to get better visibility on where our clicks were coming from, and ended up cutting wasted spend by over 12%. The performance uplift was clear, and for the first time, we could trust the numbers we were seeing. It's a total game-changer for campaign integrity.”
Stuart Parkin
Director of Operations, Regit
“Tapper's blocking technology purifies our paid media traffic which roughly equates to a 36x return against its subscription costs. It's certainly one of the easiest-to-implement tools in our entire marketing stack.”
Reno Mindemann
Head of Growth, Kama Capital
“We've been using Tapper for over a year now, and it has become a core part of how we run paid media. Invalid traffic was always something we knew existed but couldn't really act on. Tapper changed that. We're now saving up to $50K per year, and on PureSquare specifically, we saw around a 20% decrease in CPA. Based on these results, we decided to roll it out across other ventures under Disrupt as well.”
Nurkan Kirkan
GTM Consultant / Paid Growth, Disrupt.com
Trusted by leading brands worldwide
Frequently asked questions
Everything you need to know about protecting insurance ad spend on Affiliate.
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.
Protect other industries on Affiliate
Tapper covers fraud protection for every major vertical on Affiliate.
Stop paying for fraud on your insurance campaigns
Book a demo and we will show you exactly what Tapper would block on your account, before you commit to anything.