विज्ञापन धोखाधड़ी और अमान्य ट्रैफिक (Ad Fraud & Invalid Traffic)
Definition
Only 5% of Indian brands demand independent measurement despite over 50% of media spend being digital. Open-auction programmatic inventory (₹10-15 CPM) contains 30-40% junk traffic. AI bots now generate fake leads and clicks that contaminate conversion data and skew attribution models.
Key Findings
- Financial Impact: ₹30 crore lost daily; ₹10,947 crore annually. 31% invalid traffic in programmatic. 40% lead failure rates due to bot-generated conversions.
- Frequency: Daily/Continuous
- Root Cause: Absence of mandatory independent measurement, minimal advertiser demand for verification, bot sophistication mimicking human behavior, fragmented supply chain in programmatic buying
Why This Matters
The Pitch: Indian advertisers waste ₹30 crore daily (~₹10,947 crore annually) on ad fraud and invalid traffic. Independent verification and automated fraud detection can eliminate 30-40% of junk inventory losses in open-auction programmatic channels.
Affected Stakeholders
Brand Managers, Performance Marketers, Media Buyers, Agency Planners, SME Owners
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
डेटा प्रदूषण से गलत निर्णय (Data Contamination & Decision Errors)
DPDPA नियम अनुपालन लागत और कार्यान्वयन बोझ (DPDPA Compliance Costs)
डिजिटल प्रोग्रामेटिक में अनुपलब्ध आविष्कार (Digital Leakage in Programmatic)
नियामक अनुपालन जुर्माना और लाइसेंस निलंबन (Regulatory Compliance Fines & License Suspension)
तीन स्तरीय शिकायत निवारण संरचना रखरखाव (Three-Tier Grievance Redressal Overhead Cost)
GST ITC मिसमैच और ई-इनवॉइसिंग अनुपालन जोखिम
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