Click Fraud Statistics & Research (2026)
The most-cited click fraud benchmarks, bot trends, and invalid traffic research — with sources and a free ad spend loss calculator.
Key Stats at a Glance
The most important click fraud and invalid traffic benchmarks, drawn from industry reports and standards bodies.
Estimated global ad fraud losses
$100B+ in 2025
Fraud losses grew from $84B in 2023 to $100B+ in 2025, on track for $172B by 2028
Automated traffic exceeds human activity
51% of all web traffic
First time in a decade that bot traffic surpassed human visitors
Malicious bot traffic share
37%
Sixth consecutive year of growth in bad bot activity
US bot fraud surge (year-over-year)
+106%
Bot fraud surged 101% across North America, with the US seeing a 106% increase
Ad fraud rate (unprotected campaigns)
10.9%
Non-optimized campaigns had 15x higher fraud rates than those using anti-fraud tools
Programmatic ad spend wasted
$26.8B
Only 43.9% of programmatic spend reaches consumers as viewable impressions
Global web IVT rate (programmatic)
23%
Mobile app IVT at 36%, CTV at 21%. Based on 103B+ impressions analysed
Mobile app IVT rate (UK)
25%
Singapore had the highest APAC mobile app IVT at 43%
TAG-certified channels IVT rate
Below 1%
TAG-certified channels saved European advertisers an estimated €3.45B in fraud losses
Retail sector bad bot traffic
59%
Travel sector saw 27% of all bot attacks (up from 21% in 2023)
Average Google Ads CPC (legal)
$8.58
Highest CPC industry. Overall Google Ads average is $5.26
Google Ads invalid click filtering
Automatic filtering applied
Google filters invalid clicks so advertisers are not charged (where identified)
Important context: Not all ad fraud is click fraud. Benchmarks vary by channel, measurement method, and filtering. This page focuses on practical, advertiser-relevant insights. All statistics are sourced from industry bodies, security research, and platform documentation — not competitor marketing claims.
What Do These Terms Actually Mean?
Clear definitions for business owners first, then the official industry standards.
Click Fraud
Clicks on your paid ads that aren't from real potential customers. This includes bots, repeat attackers, competitor sabotage, and click farms. The result: wasted ad spend with zero chance of a sale or enquiry.
Invalid Clicks (Google Ads)
Clicks that Google detects as invalid and attempts to filter or credit so advertisers aren't charged. Google's systems catch some fraud automatically, but many suspicious patterns still get through — especially from sophisticated bots and competitor activity.
Invalid Traffic (IVT)
A broader measurement category covering any non-human or suspicious web traffic. This includes bots, crawlers, scrapers, and automated tools. IVT is the standard term used by industry bodies like the MRC and IAB.
Industry Standards: GIVT vs SIVT
As defined by the MRC IVT Guidelines (2024)
| Type | What It Means | Examples |
|---|---|---|
| GIVT | General Invalid Traffic — easily identified through routine checks | Known bots, spiders, crawlers, data centre traffic |
| SIVT | Sophisticated Invalid Traffic — requires advanced analysis to detect | Hijacked devices, ad stacking, incentivised clicks, human-mimicking bots |
How Big Is the Problem?
Ad fraud is a multi-billion dollar problem that's growing alongside digital ad spend.
Ad fraud losses have surpassed $100 billion annually as of 2025, up from $84 billion in 2023. That figure is projected to reach $172 billion by 2028 according to Statista and Juniper Research estimates.
The US digital advertising market reached $259 billion in 2024 (up 15% YoY according to the IAB), and the ANA found that $26.8 billion in programmatic ad spend was wasted in 2025 — with only 43.9% of budgets reaching consumers as viewable impressions.
Estimated Global Ad Fraud Losses
Illustrative projection based on Statista and Juniper Research estimates. Actual figures may vary by methodology.
Why estimates vary: Different research firms use different methodologies, channel mixes, and definitions of "fraud." Some measure all invalid traffic; others focus only on specific ad formats. The important takeaway is the trend: ad fraud is growing, not shrinking.
How AI Is Changing Click Fraud
What the rise of AI means for advertisers — explained without the jargon.
AI Made Automation Cheap
The Imperva/Thales 2025 Bad Bot Report found that automated traffic surpassed human activity for the first time — reaching 51% of all web traffic in 2024. Bad bots alone accounted for 37% of all traffic (up from 32% in 2023), marking the sixth consecutive year of growth. DoubleVerify reported a 106% surge in US bot fraud year-over-year, while IAS found unprotected campaigns hit a four-year high fraud rate of 10.9%.
Human-Like Browsing
Bots can now mimic scrolling, clicking, and page navigation
Massive Scale
AI-powered bots can run thousands of sessions simultaneously
Easy IP Rotation
Rotating IPs and devices to avoid detection is trivial
Does AI Directly Increase Click Fraud?
It's important to be honest about this. AI does not automatically mean your Google Ads have more click fraud tomorrow. But AI does increase the amount and sophistication of automated traffic overall.
That makes it easier for bad actors to produce traffic that looks "real" long enough to waste your budget or distort your performance data. The barrier to entry for fraud has dropped significantly.
How It Shows Up in Real Accounts
If any of these sound familiar, your campaigns may be affected:
The Takeaway: Blocking Single IPs Isn't Enough Anymore
In the AI era, effective protection requires traffic intelligence — not just IP blocking.
Multi-Signal Scoring
Analyse network, behaviour, and repetition patterns together
Explainable Intelligence
Understand why a visit is suspicious, not just that it is
Pattern Recognition
Focus on repeat offenders and trends over time
Powered by Verideon Traffic Intelligence.
Click Fraud "Rates": What Can We Say Responsibly?
Why you should be sceptical of specific percentage claims — and what to watch for instead.
A note on fraud rate claims
Many websites publish specific fraud rate percentages by industry (e.g., "42% of plumbing clicks are fraudulent"). Be cautious with these numbers — most come from companies selling fraud protection and use their own proprietary data with undisclosed methodologies. We believe in transparency: estimates vary, and the most reliable measure is your own campaign data.
What We Can Say
Pixalate's Q4 2025 benchmarks (based on 103 billion+ impressions) found global IVT rates of 23% for web, 36% for mobile apps, and 21% for CTV. In the US specifically, web IVT was 25% and mobile app IVT was 29%. IAS found that campaigns without anti-fraud technology had fraud rates of 10.9% — 15x higher than protected campaigns.
For PPC advertisers specifically, competitive industries like legal services (avg. CPC $8.58) are particularly vulnerable. The actual rate depends on your industry, location, competition level, and campaign setup.
Common Risk Factors
Typical Warning Patterns
Doesn't Google Already Stop Click Fraud?
Google does filter some invalid clicks automatically. According to their official documentation, their systems are designed to detect and filter invalid clicks so advertisers are not charged for them.
However, Google's systems are designed to protect the advertising ecosystem as a whole — not individual campaigns. The gap between what Google catches and what actually affects your budget is where additional protection matters.
Advertisers still need visibility into traffic quality and the ability to identify repeat patterns that platform-level filtering may miss.
How much is click fraud costing you?
Select your industry and we'll estimate the fraud rate. Or adjust it yourself — either way, the numbers might surprise you.
-- — Typical CPC: -- · Fraud rate: --
Powered by Verideon Traffic Intelligence
Without click fraud protection
$280
lost per month to fake clicks
112
fake clicks/mo
$3,360
wasted per year
With ClickGuardian
3.5x return on investment
Click Fraud Protection Checklist
7 things every PPC advertiser should do. Share this with your team or agency.
Check invalid click data
Review the "Invalid clicks" column in Google Ads (add it to your columns if it's not visible).
Watch for conversion-rate anomalies
If clicks spike but conversions don't, investigate before increasing budget.
Track geographic anomalies
Look for clicks from outside your service area or from unexpected locations.
Look for repeat click patterns
Watch for rapid bursts of clicks, especially during off-hours or weekends.
Tighten location settings
Use "presence" targeting (not "presence or interest") and add location exclusions.
Protect high-CPC campaigns first
Your most expensive keywords are the biggest targets. Prioritise protection there.
Add layered monitoring
Platform-level filtering alone isn't enough. Add independent traffic quality monitoring to spot what Google misses.
Frequently Asked Questions
Click fraud is when someone — or something — clicks on your paid ads with no intention of becoming a customer. This includes bots, competitors trying to drain your budget, click farms, and repeat attackers. The result is wasted ad spend with no return.
Methodology & Source Library
Why These Sources?
We only cite sources from industry standards bodies (MRC, IAB, TAG), ad verification firms (DoubleVerify, IAS, Pixalate), security research firms (Imperva/Thales), research analysts (Juniper Research, Statista), advertiser associations (ANA), platform documentation (Google Ads), and reputable marketing journalism. We do not cite competitor marketing pages or gated lead magnets.
Corrections: If you spot an error or have a more up-to-date source, please contact us at support@clickguardian.ai.
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