The Ultimate List of Click Fraud & Ad Fraud Statistics 2021

Last Updated 31/03/2021

78%

of marketers cite click fraud as their top concern. (Adweek, 2016)

75%

of desktop clicks on 300 x 600 ad units are fraudulent. (Pixalate, 2017)

50%

of all online ads are never seen by a human. (Google, 2014)

8%

of all impressions have the opportunity to be seen by a real person. (Marketing Daily, 2014)

List of Fraud Statistics 2021

Ad Fraud Statistics

The ad fraud botnet “Chameleon” costs advertisers over $6 million a month.

(Spider.io, 2016)

Global losses from ad fraud in 2020 were $35billion.

(MarTech, 2021)

1 in 5 ad-serving websites are visited exclusively by fraud bots.

(The Verge, 2017)

For every $5 spent on digital ads, fraud takes $1

(Adage.com, 2018)

Levels of fraud are not constant throughout the year. Fraud is invited whenever and wherever digital advertising demand outstrips supply.

(WhiteOps, 2017)

US brands lost $6.5 billion to ad fraud in 2017.

(Marketing Week, 2017)

Display ads examined by Integral Ad Science found 8.3% of all impressions were fraudulent.

(Integral Ad Science, 2016)

Ads with a CPM greater than $10 experience 39% higher bot fraud than lower-valued inventory.

(ANA, 2016)

The industry with the most bot traffic is Finance with over 22% of traffic being registered as fake.

(Bloomberg, 2015)

For every $3 spent on digital ads, fraud takes $1.

(Adage.com, 2015)

Click Fraud Statistics

36% of display ad clicks are fraudulent or invalid.

(PPC Protect, 2021)

Desktop click fraud has risen from 20% to 24% in 2017.

(Pixalate, 2017)

Nearly 20% of total digital ad spend was wasted in 2016.

(CNBC, 2017)

Smartphone click fraud increased 102% from January – April 2017.

(Pixalate, 2017)

1 in 5 pay per clicks were fraudulent in January 2017.

(Pixalate, 2017)

50 percent of ad impressions served on Internet Explorer were to non-human traffic.

(FraudLogix, 2016)

Video click fraud was 26% higher in April 2017 (25.3%) than it was in January 2017 (20.1%).

(Pixalate, 2017)

The click fraud operation Methbot generates $3 to $5 million in fraudulent revenue every day.

(WhiteOps, 2016)

The industry with the most bot traffic is Finance with over 22% of traffic being registered as fake.

(Bloomberg, 2015)

Click fraud is currently growing at 50% per year.

(The Australian)

Levels of fraud are not constant throughout the year. Fraud is invited whenever and wherever digital advertising demand outstrips supply.

(WhiteOps, 2017)

PPC Protect Click Fraud Infographic

Free Resource Download

Click Fraud Reports

An in-depth look at some of the latest click fraud research.

Key Traits of Click Fraud Revisited

2019 (PPC Protect)

Key Traits of Click Fraud

PPC Protect (2018)

What is Click Fraud? Everything you need to know.

PPC Protect (2018)

Livestreaming Ad Fraud

PPC Protect (2018)

How Click-Fraud Malware Transforms Into an Advanced Threat

Cybereason (2017)

How Adform Discovered HyphBot

Adform (2017)

The Lane's Gifts v. Google Report

Pixalate (2017)

Programmatic Click Fraud Benchmarks: January – April 2017

Ana (2017)

WhiteOps 2016 Bot Baseline Report

Ana & White Ops (2017)

WhiteOps 2015 Bot Baseline Report

WhiteOps (2016)

WhiteOps Methbot 2016 Report

WhiteOps (2016)

Eradicating Bot Fraud: The Path To Zero-Tolerance

Videology & WhiteOps (2015)

What Is An Untrustworthy Supply Chain Costing The US Digital Advertising Industry?

IAB US (2015)

WhiteOps 2014 Bot Baseline Report

WhiteOps (2014)

A Game of Clicks: Economic Incentives to Fight Click Fraud in Ad Networks

Lemonia Dritsoula & John Musacchio (2014)

Click Fraud Resistant Methods for Learning Click-Through Rates

Haitao Xu (2014)

Characterizing Large-Scale Click Fraud in ZeroAccess

Paul Pearce (2014)

The Effect of Fraud Investigation Cost on Pay-Per-Click Advertising

Min Chen (2012)

Fighting Online Click-Fraud Using Bluff Ads

Hamed Haddadi (2010)

The Goals and Challenges of Click Fraud Penetration Testing Systems

Carmelo Kintana (2009)

The Anatomy of Clickbot.A

Neil Daswani & Michael Stoppelman (2007)

American Society for Information Science and Technology Click Fraud Report

Brendan Kitts & Benjamin LeBlanc (2005)

Click Fraud Resistant Methods for Learning Click-Through Rates

Nicole Immorlica & Kamal Jain (2005)

The Evolution of the Fileless Click-Fraud Malware Poweliks

Liam O'Murchu & Fred P. Gutierrez (2005)

Click Fraud In The News

Click Fraud Articles

Click Fraud Lawsuits

The Key Traits Of Click Fraud

Free Resource Download

Other Statistics Pages

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