Original research · Updated October 2026

Click Fraud Statistics 2026

What 2.3 million paid clicks on Google Ads and Microsoft Ads tell us about click fraud, measured by us, not borrowed from a vendor's report.

We took a 91-day snapshot of the paid clicks we protect: 2,334,216 clicks on Google Ads and Microsoft Ads, from 22 July to 20 October 2026. Every number below comes with how we got it.

For the underlying mechanics, see the full guide to how click fraud works.

The headline
Almost 1 in 10

paid clicks showed at least one warning sign of invalid traffic. For 1 in 10 advertisers, it was 14% or more.

The strict measure, clicks that were high risk, was 1 in 24. On £5,000 a month of ad spend, the typical advertiser's 7.8% is about £390 a month on clicks showing warning signs.

Every 100 paid clicks, on average
High risk4.1%
Warning sign: repeat clicking4.9%
No warning signs90.9%
2026 benchmark

Key click fraud statistics for 2026

All from our own data: 2,334,216 paid clicks, 22 July to 20 October 2026.

9.1%

of paid clicks showed at least one warning sign of invalid traffic. That is almost 1 in 10.

211,588 of 2,334,216 paid clicks. The typical advertiser saw 7.8%.

14%+

of clicks showed warning signs for the worst-hit 1 in 10 advertisers.

The highest single advertiser saw 26.2%.

1 in 24

paid clicks were high risk: a cloud server, a commercial VPN or proxy, Tor, or automation.

96,642 clicks, or 4.1%. The typical advertiser saw 4.1% too.

1 in 78

paid clicks came straight from cloud servers such as AWS, Google Cloud or Microsoft Azure.

29,955 clicks, or 1.3%. Real customers don't browse from a data centre.

2x

Microsoft Ads clicks were almost twice as likely to be high risk as Google Ads clicks.

7.7% vs 3.9%. Microsoft was worse for more than 8 in 10 advertisers running both.

5x

For UK advertisers, clicks from abroad were about 5 times as likely to come from a data centre or a VPN.

Data centre 5.3% vs 1.1%. VPN or proxy 17.8% vs 3.2%.

1 in 6

paid clicks came from an IP address that clicked the same advertiser's ads more than once that day.

16.4%. Not all of it is fraud: people come back to compare quotes.

1.9% to 6.8%

high-risk rate for the typical advertiser by industry, from care services to IT and SaaS.

11 industries with enough advertisers to compare.

Source for every figure above: ClickGuardian benchmark, October 2026. See how we measured it.

Our benchmark

What we found in 2.3 million paid clicks

Two measures, the maths behind each, and what surprised us.

Two measures: warning signs and high risk

A high-risk click came from somewhere real customers almost never browse from, or behaved like a machine. A warning sign also includes the same IP address clicking one advertiser's ads three or more times in a day. Some of those are innocent, because mobile networks can share one address between many people, so we keep the two apart.

Any warning sign
9.1%
211,588 of 2,334,216 paid clicks
Typical advertiser7.8%
Worst-hit 1 in 10 advertisers14% or more
Highest single advertiser26.2%
High risk
4.1%
96,642 of 2,334,216 paid clicks, or 1 in 24
Typical advertiser4.1%
Middle half of advertisers2.4% to 6.4%
Highest single advertiser20.2%

"Typical" is the median advertiser, counting advertisers with 500 or more paid clicks. Taking out the biggest advertiser, or the top five, moves the high-risk rate by less than a tenth of a point.

Where the high-risk clicks come from

Most high-risk clicks came through commercial VPNs and proxies, then cloud servers. Tor, rapid-fire clicking and browsers run by automation software made up the rest. A click can trip more than one signal, so these overlap.

Out of every 1,000 paid clicks
38

came through a commercial VPN or proxy

87,902 clicks
13

came straight from a cloud data centre such as AWS, Google Cloud or Azure

29,955 clicks, or 1 in 78
<1

came from Tor, rapid-fire clicking or automation software

Under 0.1% of clicks

Microsoft Ads clicks were almost twice as risky

This isn't just a different mix of advertisers. Among advertisers running both platforms with 300 or more clicks on each, Microsoft was worse for more than 8 in 10. Most of the gap was VPN and proxy traffic (7.6% vs 3.5%), not data centres (1.6% vs 1.3%).

Microsoft Ads
7.7%
of clicks were high risk, about 1 in 13
11,692 of 152,121 clicks. Each square is 1 in 100 clicks.
Google Ads
3.9%
of clicks were high risk, about 1 in 26
84,950 of 2,182,095 clicks. Each square is 1 in 100 clicks.

More than 8 in 10 advertisers running both platforms saw a higher high-risk rate on Microsoft.

For UK advertisers, clicks from abroad were about 5 times as risky

Of UK advertisers' paid clicks with a known location, 5.4% came from outside the UK. Those clicks were about 5 times as likely to come from a data centre, and about 5 times as likely to come through a VPN or proxy.

Clicks from the UK Clicks from abroad
From a cloud data centre4.9x as likely
1.1% 5.3%
Through a VPN or proxy5.5x as likely
3.2% 17.8%

Location from the click's IP address. Clicks with no location are left out.

1 in 6

1 in 6 clicks came from a repeat clicker

16.4% of paid clicks came from an IP address that clicked the same advertiser's ads more than once that day, and 1.1% from one that clicked five or more times. Not all of this is fraud: people come back to compare quotes. It's still a cost most advertisers never see.

2.3%

2.3% came through privacy relays

Apple iCloud Private Relay and Cloudflare WARP hide a person's IP address behind a big provider's network. These are privacy tools used by real people, so we don't count them as fraud, even though a basic VPN check would flag them.

Other things we noticed

3 in 4 Google Ads clicks came from Search. 22% came from Display, YouTube, Discover and Performance Max placements. In our data, those placement clicks were barely riskier than Search clicks.

Only 1 in 5 paid clicks happened at the weekend, and for UK advertisers 1 in 20 arrived between midnight and 6am, UK time.

Self-declared AI agents made about 1 in 50,000 paid clicks, on the accounts where our tracking can spot them. Most agents don't announce themselves, so this only counts the honest ones.

By industry

Click fraud rates by industry

For the typical advertiser, high-risk rates ran from 1.9% in care services to 6.8% in IT and SaaS.

Industry Paid clicks Typical advertiser, high risk All clicks, high risk All clicks, warning sign
IT, SaaS and technology services 78,407 6.8% 6.3% 8.5%
Marketing, design and agencies 19,296 6.4% 9.8% 11.9%
B2B industrial, trade and manufacturing 235,141 4.8% 4.9% 12.1%
Building and construction trades 27,262 4.4% 4.5% 7.0%
Education and training 297,987 4.0% 2.6% 7.0%
Ecommerce and retail 649,594 4.0% 4.3% 11.6%
Drainage, plumbing and heating 35,339 3.5% 1.6% 12.2%
Financial services 173,890 2.9% 4.1% 7.5%
Locksmiths 55,182 2.7% 5.3% 13.2%
Healthcare and medical clinics 144,713 2.3% 3.4% 5.5%
Care and social services 19,482 1.9% 1.9% 4.5%

Locksmiths: a typical high-risk rate of 2.7%, but 13.2% of their clicks showed a warning sign, the highest in the table. The difference is repeat clicking.

Reading the table: "Typical advertiser" is the median advertiser with 300 or more paid clicks. "All clicks" pools every click in the industry, so one big advertiser can move it. Read this as a range, not a league table. Tech audiences use VPNs more, which partly explains IT and SaaS.

Method

How we measured this

What we counted, what we didn't, and the limits of the data.

We took a 91-day window, 22 July to 20 October 2026, and analysed every paid click on Google Ads and Microsoft Advertising from the advertisers whose clicks we tracked in that period: 2,334,216 paid clicks across 184 advertisers. Each click is counted once, by its click ID. Most of the clicks (79%) came from UK businesses, mainly in lead generation and ecommerce.

A click is high risk when it came from a cloud data centre (such as AWS, Google Cloud or Microsoft Azure), a commercial VPN or proxy, or the Tor network, or when it showed clear signs of automation, such as rapid repeat clicking or a browser controlled by automation software. People using Apple iCloud Private Relay or Cloudflare WARP are not counted. A warning sign also includes the same IP address clicking one advertiser's ads three or more times in a day.

We can't see which clicks Google or Microsoft refunded later, and these advertisers chose ClickGuardian because they were worried about fraud, so treat the figures as benchmarks for protected accounts rather than an average for every advertiser.

Our protection also reports a separate monthly figure. In October 2026 ClickGuardian checked 1.3 million paid clicks and blocked 155,774 of them (11.6%) as invalid. That counts the clicks our protection blocked in one calendar month, while this benchmark counts warning signs over a 91-day research window, so the two rates measure different things.

What counts as high risk

  • Cloud data centre IP addresses: AWS, Google Cloud, Microsoft Azure, DigitalOcean, Vultr, Linode, OVH, Hetzner and similar
  • Commercial VPNs and proxies
  • The Tor network
  • Rapid-fire clicking, such as five or more clicks in ten seconds
  • Hard automation markers: headless Chrome, WebDriver, Selenium, PhantomJS

Warning sign adds: the same IP address clicking one advertiser's ads three or more times in a UK calendar day.

What we left out on purpose

  • Privacy relays (iCloud Private Relay, Cloudflare WARP)
  • Soft browser oddities that real in-app browsers also show
  • Time of day, referrer mismatches and reused click IDs
  • Our own sites, test accounts and suspended accounts

Counting those would push the numbers up. We'd rather publish a figure we can defend.

Cite this research

ClickGuardian, "Click Fraud Statistics 2026", October 2026. clickguardian.ai/click-fraud-statistics

Journalists and researchers: email hello@clickguardian.ai for the full breakdown.

Earlier editions

Earlier editions of this page (2019) estimated click fraud losses from industry figures at the time. We've replaced those estimates with our own measured data above.

Fraud in 2026

How click fraud works in 2026

Six things that changed this year, sourced to Google, the courts and university research.

1

Fake leads, not just fake clicks

Bots now fill in forms and place junk calls, so you pay for the click and then lose time on the lead. Fake conversions also teach Smart Bidding to find more of the same traffic.

  • Google's own help page now says its invalid traffic filters "don't prevent invalid leads on their own" and that "Sophisticated bots can bypass browser controls".
  • Lead credits on Local Services Ads "aren't available for… advertisers in EMEA", which includes the UK.
  • From 1 October 2026, unanswered Local Services Ads calls are charged once the caller has held for more than 20 seconds.

What to do: Check leads as well as clicks, and only send real enquiries back to Google as conversions.

2

Clicks from homes that are really bots

Residential proxy networks route bot traffic through hijacked or rented home and mobile connections, often via apps and cheap Android TV boxes. To your account, the bot looks like a householder in your service area.

  • On 28 January 2026 Google's threat intelligence team disrupted IPIDEA, a residential proxy network it saw used by "over 550 individual threat groups" in a single week.
  • Google's BadBox 2.0 court order (June 2025) describes "advertising frauds, including through the Google Ad Network".
  • Google Ads caps IP exclusions at 500 per campaign, so blocking addresses one by one runs out fast.
  • In our data, 3.8% of paid clicks came through a commercial VPN or proxy.

What to do: Don't rely on IP blocking alone. Look at the network a click comes from and how it behaves.

3

Ads running off Google.com

Search partner sites, parked domains, made-for-advertising sites and low-quality apps, often reached through Performance Max.

  • On 10 February 2026 Google stopped showing ads on parked domains in its search partner network.
  • On 14 October 2026 Google gave advertisers channel controls for Search, Shopping, Performance Max and Demand Gen. Caps work "on a best-effort basis", and a lower-priority channel set to 0% gets no spend.

What to do: Use the new channel controls to cap search partners and Display if they don't bring you leads.

4

AI agents that click for people

AI browsers such as ChatGPT agent, ChatGPT Atlas, Perplexity Comet and Gemini in Chrome load pages, click and fill in forms on a person's behalf.

  • The AI Agent Index from Cambridge and MIT (February 2026) found 21 of 30 agents had no documented disclosure that they are AI, and at least six are built to mimic human browsing.
  • We couldn't find any statement from Google or Microsoft on how they bill clicks made by AI agents.
  • In our data, self-declared AI agents made about 1 in 50,000 paid clicks, on the accounts where our tracking can spot them. Most agents don't declare themselves, so this only counts the honest ones.

What to do: Treat agent traffic as a grey area and judge it by what it does on your site.

5

Bots that beat CAPTCHAs

Headless and anti-detect browsers, and AI-driven bots that read, scroll and type like people.

  • Researchers at ETH Zurich solved 100% of reCAPTCHA v2 challenges with an automated system (2024).
  • A June 2026 study found some AI web agents "were able to bypass all evaluated anti-bot mechanisms", but they could still be told apart from humans with layered fingerprinting.

What to do: Use more than one layer of checks. A CAPTCHA on its own won't stop a determined bot.

6

Competitors clicking your ads

A rival clicks your ads again and again to burn through your budget, so their ads show instead of yours.

  • In the US case Motogolf.com v. Top Shelf Golf (2021), a golf retailer accused a rival of repeatedly clicking its ads. The court dismissed the computer misuse claim, noting that "information open to the public is not the kind of access that the CFAA was designed to prevent".
  • We found no UK case of a business suing a competitor for clicking its ads.
  • In our data, 1.1% of paid clicks came from an IP address that clicked the same advertiser five or more times in a day.

What to do: Prevention beats legal action: exclude repeat clickers and report them to Google within 60 days.

Sources:Court order
Google's role

Doesn't Google already stop click fraud?

It stops a lot. Here is what it says about the rest.

Google filters invalid clicks, and you aren't charged for the ones it catches. Its measurement of Search clicks is accredited by the Media Rating Council (MRC), the US industry auditor, including its filtering of sophisticated invalid traffic. Microsoft Advertising's search click measurement is accredited too. But there are limits:

  • Google doesn't publish how many invalid clicks it catches or misses. The last overall rate we could find is from 2007: "less than 10% of all clicks".
  • About 80% of the invalid clicks Google catches are general invalid traffic: the simple, list-based kind.
  • Automated reviews and investigations cover the past 60 days of traffic, and credits come "when appropriate and possible".
  • Google's new Invalid Activity Credit Report covers Search and Performance Max only, not Display, Video or Demand Gen.
  • The MRC accreditation of Google's click measurement covers Search only. YouTube is accredited for video impressions and views, not clicks.
  • Microsoft says "it is unlikely that all invalid click activity can be identified and excluded from the reported results."
From our data

1 in 78 paid clicks still reached advertisers' sites straight from a cloud data centre, the easiest kind of invalid traffic to spot. Google may have refunded some of them later. We can't see which, and neither can most advertisers.

The two kinds of invalid traffic

As defined by the MRC invalid traffic standard and its 2024 update
GIVTGeneral invalid traffic: caught with lists and routine checks

Examples: Known bots, spiders and crawlers, known data centre traffic

SIVTSophisticated invalid traffic: needs deeper analysis to detect

Examples: Hijacked devices, residential proxies, incentivised clicks, bots built to look human

See how ClickGuardian compares with Google's filtering
Wider data

The wider picture

Market and platform figures for context. None comes from a company that sells fraud detection.

Why there's no global "cost of click fraud" figure here

You'll see big numbers for worldwide ad fraud losses quoted everywhere. We traced every recent headline estimate we could find. Each one was produced with, or paid for by, a company that sells fraud protection.

We couldn't find an independently funded estimate, so we don't quote one. That's why this page leads with data we measured ourselves.

£17.9bn

spent on search ads in the UK in 2025, 44% of a £40.5bn digital ad market.

Search reached £9.1bn in the first half of 2026 (IAB UK, September 2026).

IAB UK, Digital Adspend 2025 ↗
$114.2bn

US search ad revenue in 2025, out of $294.6bn spent on internet advertising.

IAB and PwC, Internet Advertising Revenue Report FY2025 ↗
$9.87

typical cost per click for legal services on Google Ads in the US, and $131.63 per lead.

Home improvement $8.33, dental $8.00, all industries $5.42. 13,474 US search campaigns, April 2025 to March 2026.

WordStream, 2026 Google Ads Benchmarks ↗
80%

of the invalid clicks Google catches are the simple, list-based kind. Google doesn't publish totals.

That implies about 1 in 5 of the invalid clicks Google catches is the harder, sophisticated kind.

Google Ads Help, Description of methodology ↗
Ad spend calculator

How much is click fraud costing you?

Start from our benchmark, or set your own rate. Either way, the numbers might surprise you.

$
$

Approx. across all industries: US average, WordStream 2026. Change it if you know yours.

9%

Drag to set your own rate, or pick an industry above.

Across all industries, 9% of paid clicks showed warning signs in our October 2026 benchmark.

Without protection, you spend

$180/mo

on clicks with warning signs. About 33 clicks a month, or $2,160 a year.

You vs other advertisers, at your spend
You, at 9% $180
Typical, 8% $160
Worst 1 in 10, 14%+ $280+

With ClickGuardian

ClickGuardian Starter plan $49/mo
Potential saving $131/mo

3.7x your plan cost. Plan matched to your spend; figures are before any refunds from Google or Microsoft.

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Checklist

Click fraud protection checklist

8 things every PPC advertiser should do, based on what we found. Share it with your team or agency.

  1. 1 Add the invalid clicks columnIn Google Ads, add "Invalid clicks" to your campaigns table. In Microsoft Ads, look for "Low quality clicks". Watch the trend, not just the total.
  2. 2 Check leads, not just clicksBots fill in forms too. Only send real enquiries back to Google as conversions, or Smart Bidding will chase more of the same.
  3. 3 Use "Presence" location targetingSo your ads show to people actually in your area. For UK advertisers, clicks from abroad were about 5 times as likely to be high risk.
  4. 4 Look for repeat clickers1 in 6 paid clicks came from an IP address that had already clicked that day. Bursts from one address are the classic sign of a bot or a rival.
  5. 5 Review Microsoft Ads on its ownIts clicks were almost twice as likely to be high risk in our data, so don't judge it by your Google numbers.
  6. 6 Cap the channels that don't convertUse Google's channel controls to limit search partners and Display if they don't bring you leads.
  7. 7 Report what Google misses within 60 daysGoogle only investigates the past 60 days of traffic. Keep your own click records so you have evidence.
  8. 8 Add independent monitoringPlatform filtering catches a lot but not everything. An independent check shows you what still gets through.
FAQ

Frequently asked questions

What is click fraud?

Click fraud is any click on your paid ads that comes from something other than a real potential customer: bots, scripts running on cloud servers, click farms, competitors, or people clicking again and again. You pay for the click and get nothing back. Google calls these invalid clicks.

How common is click fraud in 2026?

In our October 2026 benchmark of 2,334,216 paid clicks, almost 1 in 10 (9.1%) showed at least one warning sign of invalid traffic, and 1 in 24 (4.1%) were high risk: cloud servers, commercial VPNs or proxies, Tor or automation. It varies a lot between advertisers. The typical advertiser saw 7.8% with warning signs, but for 1 in 10 advertisers it was 14% or more.

Does Google Ads refund invalid clicks?

Yes, for the ones it catches. Google filters many invalid clicks before you are billed and credits others later, "when appropriate and possible". But its reviews and investigations only cover the past 60 days, its new Invalid Activity Credit Report covers Search and Performance Max only, and it does not publish how many invalid clicks it misses.

Is click fraud worse on Microsoft Ads than Google Ads?

In our data, yes. 7.7% of Microsoft Ads clicks were high risk against 3.9% on Google Ads, almost twice the rate. Among advertisers running both with enough clicks to compare, Microsoft was worse for more than 8 in 10. Most of the gap was VPN and proxy traffic rather than data centres.

What is invalid traffic (IVT), GIVT and SIVT?

Invalid traffic is the industry term for activity that does not come from genuine human interest, as defined by the Media Rating Council (MRC). General invalid traffic (GIVT) is the easy kind, caught with lists and routine checks, such as known bots and data centre traffic. Sophisticated invalid traffic (SIVT) needs deeper analysis: hijacked devices, residential proxies and bots built to look human. Google says about 80% of the invalid clicks it catches are GIVT.

Are AI agents clicking my ads?

Hardly any that admit it. Self-declared AI agents made about 1 in 50,000 paid clicks over 91 days, on the accounts where our tracking can spot them. The catch is that most agents do not declare themselves: a Cambridge and MIT study found 21 of 30 had no documented disclosure that they are AI. Google has not said how it bills their clicks.

Can competitors click my ads?

Yes, and it is hard to stop through the courts. In the US Motogolf case a computer misuse claim against a rival accused of clicking ads was dismissed because the ads were public. In our data, 1.1% of paid clicks came from an IP address that clicked the same advertiser five or more times in one day. Excluding repeat clickers and reporting them to Google within 60 days is the practical route.

How much does click fraud cost?

For your account, multiply your spend by your rate. On £5,000 a month at the typical advertiser's 7.8%, about £390 a month goes on clicks showing warning signs. Globally, we could not find an independently funded estimate: every recent headline figure we traced was produced with, or paid for by, a company that sells fraud protection, so we do not quote one.

How did ClickGuardian measure these statistics?

We took a 91-day snapshot, 22 July to 20 October 2026, and analysed every paid click on Google Ads and Microsoft Advertising from the advertisers whose clicks we tracked in that window: 2,334,216 clicks, each counted once by its click ID. A click is high risk when it came from a cloud data centre, a commercial VPN or proxy, or Tor, or showed clear signs of automation. Privacy tools such as iCloud Private Relay are not counted. The full method is on this page.
Sources

Sources and how we chose them

Our sourcing rule

Apart from our own data, we only cite Google and Microsoft, standards bodies (MRC, IAB), courts, universities, and benchmarks from companies that don't sell fraud detection. We don't use figures from companies that sell click fraud or ad fraud detection, or from studies they paid for. That rules out most of the big numbers quoted elsewhere.

Benchmark re-run quarterly 39 external sources cited Last review: October 2026

Our data

Google and Microsoft

Standards bodies and market data

Research and courts

Earlier edition: industry reports

Cited in the March 2026 edition of this page. The figures above don’t rely on them.

Corrections: If you spot an error or have a more up-to-date source, email support@clickguardian.ai.

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