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Bot-Generated Leads
Automated scripts fill in lead forms with synthetic or stolen data, generating fake submissions that pass basic field validation but have zero intent to purchase.
Fraud Type Guide
Conversion Fraud: How Fake Conversions Corrupt Your Campaign Data
Conversion fraud fills your pipeline with worthless leads and inflates campaign metrics using bots, stolen data, and incentivised users. Learn how it works and how to stop it.
What Is Conversion Fraud?
Quick answer: Conversion fraud generates fake form submissions, sign-ups, or purchases using bots, stolen data, or incentivised users to inflate campaign performance metrics and waste advertiser budget.
Conversion fraud is the deliberate fabrication of conversion events — form submissions, account registrations, app installs, purchases, or any other action that advertisers pay for on a CPA basis. Unlike click fraud, which targets the top of the funnel, conversion fraud strikes deeper, creating fake downstream actions that are harder to detect and more expensive per event.
Fraudsters employ a range of techniques to generate convincing fake conversions. Sophisticated bots can fill in forms with realistic-looking data, stolen personal information gets used to create accounts that pass basic validation, and incentivised user networks complete sign-up flows in exchange for small payments. Some operations even use real credit card numbers obtained from data breaches to simulate purchases before chargebacks occur.
The damage extends far beyond the immediate CPA payout. Fake conversions corrupt lead quality metrics, overwhelm sales teams with worthless contacts, skew audience models built on conversion data, and can trigger algorithm optimisation toward the very traffic sources generating the fraud — creating a vicious cycle that compounds over time.
Common Conversion Fraud Techniques
Conversion fraud takes many forms depending on the type of conversion being targeted and the sophistication of the operation.
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Stolen Identity Submissions
Fraudsters use personal data from breaches to create highly convincing fake sign-ups, loan applications, or insurance quote requests that appear legitimate until follow-up.
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Incentivised User Fraud
Networks pay real users small amounts to complete sign-ups, install apps, or make trial purchases. The users are real but have no genuine interest in the product.
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Fake Purchases
Fraudsters use stolen payment details to complete transactions, triggering CPA payouts for the affiliate before the inevitable chargebacks and account closures occur.
How Conversion Fraud Affects Your Business
Conversion fraud causes damage that extends well beyond the immediate cost of fake CPA payouts.
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Wasted CPA Spend
Every fake conversion costs real money. CPA payouts for fraudulent leads, sign-ups, or purchases directly drain your acquisition budget with zero business return.
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Corrupted Performance Metrics
Fake conversions inflate conversion rates and deflate cost-per-acquisition, making fraudulent sources appear to outperform legitimate channels and driving misallocation.
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Poisoned Audience Models
Machine learning algorithms trained on conversion data that includes fraud build lookalike audiences from fake profiles, reducing the quality of all future targeting.
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Overwhelmed Sales Teams
Sales reps waste time following up on fraudulent leads that will never convert, reducing productivity and demoralising teams when contact rates plummet.
How Opticks Detects Conversion Fraud
Real-Time Analysis
Every conversion event is analysed against 30+ fraud signals including device fingerprinting, form completion velocity, behavioural patterns, and data consistency checks.
Cross-Campaign Intelligence
Opticks correlates conversion patterns across campaigns to detect fraud rings, repeat offenders, and coordinated fake submission operations that single-campaign analysis would miss.
Lead Quality Scoring
Flag or filter suspicious conversions before they enter your CRM, protecting sales teams and ensuring audience models are trained on genuine customer data.
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