Malicious clicks

Malicious clicks are deliberate, fraudulent interactions with online advertisements or website elements intended to generate fake clicks, drain advertising budgets, or harm business competitors. These clicks are performed by either automated bot traffic or human click farms with the specific purpose of committing ad fraud.

How malicious clicks work

Bad actors use various techniques to generate fake clicks. They might employ automated scripts, bots, or hire low-wage workers to repeatedly click on ads. Some fraudsters use sophisticated methods like proxy servers and VPNs to hide their true location.

The goal is often to deplete a competitor's daily ad budget quickly. When the budget runs out, legitimate customers can't see the ads anymore. This gives the fraudster's own ads more visibility.

Common types of malicious clicking

  • Click farms: Organizations that hire people to manually click ads
  • Bot networks: Automated programs that generate fake clicks at scale
  • Competitor clicking: Businesses clicking rivals' ads to waste their budget
  • Cookie stuffing: Fake clicks used to claim affiliate commissions
  • Ad stacking: Hidden ads placed behind legitimate ads to generate false clicks

Impact on businesses

Malicious clicks can severely damage digital marketing efforts. They waste advertising budgets on fake traffic that will never convert into real customers. This artificial traffic also skews analytics data, making it harder to measure true marketing performance.

Companies often see their cost-per-click rise while conversion rates plummet. Some businesses lose thousands of dollars before detecting the fraud.

How to identify malicious clicks

Several warning signs can indicate malicious clicking activity. Watch for sudden spikes in traffic with very low engagement metrics. Multiple clicks from the same IP addresses or unusual geographic locations are also suspicious.

High bounce rates and zero conversions from certain traffic sources often point to click fraud. Modern click fraud detection tools can identify these patterns automatically.