Click fraud statistics for 2026

How much does click fraud actually cost? The honest answer is: a lot, and nobody can give you a single precise figure. Ad-fraud estimates run into the tens of billions of dollars a year globally, and independent measurement vendors commonly find that 10–20% or more of paid clicks show signs of being invalid. But every number in this space carries wide error bars, because researchers disagree on what counts as “fraud” versus ordinary “invalid traffic.” This article rounds up the figures that matter — and is careful to tell you how much to trust each one.

The headline numbers

• Tens of billions lost per year. Juniper Research, a widely-cited analyst firm, has estimated global advertiser losses to ad fraud in the range of roughly $80–100 billion in recent years.
• ~$172 billion by 2028. Juniper has projected ad-fraud losses to climb toward that figure by 2028 as spend shifts to harder-to-verify channels.
• 10–20%+ of paid clicks flagged as invalid. Across published analyses from invalid-traffic measurement vendors, the share of paid-search clicks showing fraud or invalidity signals commonly lands in this band — with plenty of campaigns running higher.
• Mobile and CTV fraud growing fastest. App-install fraud and connected-TV inventory are the segments most analysts flag as accelerating.

Sources: Juniper Research ad-fraud estimates and projections, plus aggregated reporting from independent invalid-traffic measurement vendors. Figures are estimates; see the methodology note at the end.

How much money is lost to ad fraud?

The most quoted global figure comes from Juniper Research, which has put advertiser losses to ad fraud in the tens of billions of dollars annually and projected continued growth toward roughly $172 billion by 2028. To put that in context, global digital ad spend now runs in the hundreds of billions of dollars a year — so even a single-digit-percentage fraud rate represents an enormous absolute loss.

Why so much variation between sources? Because “ad fraud” bundles together several different things: click fraud on search, impression fraud on display, bot traffic, app-install fraud, and made-for-advertising sites. A report that counts impressions will produce a very different number from one that counts only billed clicks.

What percentage of clicks are fraudulent?

This is the question advertisers most want answered, and it’s the one with the least consensus. Published analyses from invalid-traffic measurement firms have reported invalid-click shares ranging from roughly 10% to north of 20% on paid search, with some niches far higher. The honest framing is a range, not a point estimate:

Ranges are synthesized from multiple vendor analyses and vary by methodology. Treat them as directional bands, not official rates.

Which industries are hit hardest?

Fraud follows the money. The verticals with the highest cost-per-click are the most attractive targets, because each wasted click costs the advertiser more — and because competition is fierce enough that click-bombing a rival is a tempting tactic. The usual suspects:

• Legal services — among the highest CPCs in all of search; a prime target.
• Insurance & financial services — high value per conversion, intense competition.
• Home services (HVAC, plumbing, locksmith, garage doors) — heavy competitor click-bombing on local campaigns with tight daily budgets.
• Medical & addiction treatment — extreme CPCs and aggressive lead competition.
• B2B SaaS — expensive keywords and rivals who know exactly which terms you bid on.

Where the trend is heading

Three forces are pushing fraud up and making it harder to detect:

1. Residential proxies have commoditized IP rotation. Anyone can now route fraud through millions of real consumer IP addresses for a few dollars, which neutralizes IP-based blocklists.
2. Channels are getting more opaque. Mobile in-app and connected-TV inventory are harder to verify than desktop search, and that’s exactly where spend — and fraud — is growing.
3. Automation is cheaper and more human-like. Off-the-shelf bot frameworks now simulate cursor movement, scrolling, and dwell time, defeating naive “is this a bot?” heuristics.

How to measure click fraud on your own traffic

Industry averages are useful for context, but your number is the only one that should drive decisions. To find it:

• Compare click-through rate against conversion rate, segment by source, and flag any source with lots of clicks and almost no conversions.
• Look for clusters: many clicks from one ISP, region, or time-of-day pattern; repeat visits from the same fingerprint; sessions with near-zero time on page.
• Instrument the site with a detection tool that classifies each click and keeps evidence (session recordings, device signals) so you can verify what you’re seeing.

AdProtektor reports your real invalid-traffic rate on your actual campaigns, usually within the first day. You can start a free trial and replace the industry average with your own number. For the how-to on acting on it, see how to stop click fraud on Google Ads.

Methodology & caveats

We’ve deliberately quoted ranges and named the source category for each figure rather than inventing precise statistics. Ad-fraud measurement is genuinely contested: definitions of “invalid” differ, vendors have commercial incentives, and the fraud itself evolves to evade measurement. Use these numbers to understand scale and direction. When you need a number to act on — to justify a budget, set a target, or prove ROI — measure it on your own traffic. That figure is both more accurate and more persuasive than any industry average.