Click Fraud Statistics 2024
Global stats that show the effects of click fraud on advertising budget and performance
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Click fraud stats across every industry
global ad spend
was lost due to ad fraud in 2023
(Juniper Research)
organic and direct traffic
consists of bots and fake users
(Imperva)
of marketing budget
is lost to ad fraud for every $3 spent
(Adage.com)
of digital traffic is not human
(Adobe)
Ad fraud cost is forecast to grow from $19 billion in 2018 to $100 billion by 2023
(Statista)
is the overall average rate of invalid traffic across all digital advertising
(ANA/Bot Baseline Report)
Mobile App Ad Fraud Statistics
On paid search campaigns, an average of 14% of all clicks are from non-genuine sources.
Bots are responsible for approximately 24% of all clicks, contributing significantly to click fraud.
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Small businesses are especially vulnerable, with click fraud eating up as much as 30% of their advertising budget.
Bot networks are responsible for nearly 40% of click fraud, utilising large collections of devices to generate fake clicks.
Up to 20% of clicks on paid search campaigns are estimated to be fraudulent or invalid.
Click fraud rates in search campaigns can range between 14% to 22%, depending on industry and geographic location.
Did you know... 👀
Did you know the cost of click fraud is forecast to grow from $19 billion in 2018 to $100 billion by 2024? Click fraud is a massive problem, and the proof is in the numbers. Don’t take our word for it - try the IVT calculator and see the effects advertising fraud is having on your marketing success.
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Affiliate Fraud Statistics
Fraudulent clicks accounted for 17% of 2022's affiliate traffic, and cost companies an estimated $3.4 billion.
Sub-ID manipulation or fraud accounts for approximately 8% to 12% of affiliate fraud incidents.
Mobile affiliate fraud rates can be up to 50% higher compared to desktop due to vulnerabilities in mobile tracking.
An estimated 25% of leads generated through affiliate marketing campaigns can be fake or of poor quality.
Cookie stuffing schemes affect around 5% to 10% of affiliate marketing transactions, artificially attributing sales to affiliates.
Bots contribute to approximately 24% of all affiliate marketing traffic, generating fraudulent clicks and transactions.
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