विज्ञापन धोखाधड़ी और जाली परिवर्तन (Ad Fraud & Fraudulent Conversions)
Definition
Ad fraud in Indian affiliate marketing manifests as: (1) Bot-generated clicks/conversions; (2) Cookie stuffing (silently placing affiliate links); (3) Incentivized signups (fake users); (4) Click injection on app installs; (5) Conversion hijacking. Merchants discover fraud post-payment, leading to chargebacks, payment holds (30-90 days), or legal disputes. Publishers lose 100% of disputed commissions; merchants face payment processing penalties (2-3% chargeback fees).
Key Findings
- Financial Impact: ₹50-200 lakhs annually per mid-tier affiliate network (5-15% of total commission volume); ₹10,000-₹50,000 per chargeback incident; 30-90 day payment holds (working capital impact: ₹5-50 lakhs).
- Frequency: Continuous; worsens during high-payout seasons (festival sales, app launch campaigns).
- Root Cause: Weak conversion validation; no real-time device fingerprinting; reliance on IP-based geolocation (spoofable); lack of behavioral analytics; insufficient publisher vetting.
Why This Matters
The Pitch: Indian affiliate networks lose 5-15% of commission revenue to fraud annually. Real-time fraud detection (device fingerprinting, behavioral analytics, IP geolocation) prevents chargebacks and recovers ₹50-200 lakhs annually per platform.
Affected Stakeholders
Affiliate Networks (payment processors), Merchants (e-commerce, FinTech, SaaS), Payment Processors (Razorpay, PayU, Amazon Pay), Honest Affiliates (reputation damage)
Deep Analysis (Premium)
Financial Impact
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Current Workarounds
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Methodology & Sources
Data collected via OSINT from regulatory filings, industry audits, and verified case studies.
Related Business Risks
Attribution विफलता के कारण अनबिल्ड कमीशन (Attribution Failure & Unbilled Commissions)
भुगतान सत्यापन में मैनुअल विलंब (Manual Payment Verification Delays)
कमीशन दर वार्ता में डेटा दृश्यमानता की कमी (Lack of Data Visibility in Commission Negotiations)
विज्ञापन धोखाधड़ी और अमान्य ट्रैफिक (Ad Fraud & Invalid Traffic)
डेटा प्रदूषण से गलत निर्णय (Data Contamination & Decision Errors)
DPDPA नियम अनुपालन लागत और कार्यान्वयन बोझ (DPDPA Compliance Costs)
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