Click fraud takes many forms — and understanding each one is the first step toward protecting your campaigns. At The Wow Agency, we track six distinct types that threaten advertisers today, ranging from individual competitors to highly organized criminal networks. Here is what each one looks like.
Human-Driven Click Fraud
A single competitor or a group of people directed by one person, instructed to search for a particular ad or keyword and click on it — registering fake conversions and training the algorithm incorrectly.
Hired Bots
Bots that generally run from a server, often hidden behind a VPN, and are given specific instructions about a type of brand, ad, or keyword to click on. These are easier to detect than more advanced methods.
Click Farms
An organized service — usually a physical farm where a team of people or devices is dedicated exclusively to clicking. This can range from individual workers with phones to rooms full of controlled devices.
Programmatic & AI Bots
Sophisticated bots with artificial intelligence designed to evade reCAPTCHA, Cloudflare Turnstile, and other bot-detection mechanisms. They mimic human behavior patterns, making them significantly harder to identify and block.
Residential Proxies (Botnets)
Networks of real devices — phones and computers — that were hacked at some point and are now controlled by a central system. This central system instructs all these devices to click or fill out forms for certain campaigns. Because they use real residential IPs, they appear indistinguishable from genuine users.
Dedicated Hacker
The most dangerous type: a hacker hired specifically to sabotage a business or brand. They can deploy any combination of the above methods — clicking manually, mobilizing their organization, running bots from dedicated servers, or leveraging an entire botnet network. This is a coordinated, targeted attack.
Understanding these six types is only half the battle. At The Wow Agency, we build multi-layer protection against all of them into every campaign from day one — because by the time most agencies notice the problem, significant budget has already been lost.