ClickSambo is designed to protect your ad spend from a wide spectrum of invalid traffic. We use a multi-layered detection system to identify and block everything from simple automated bots to sophisticated, human-driven fraud.
Here are the primary types of threats we target: 🛡️
What it is: Non-human traffic generated by automated software, scripts, and botnets, which often run on servers in data centers around the world.
How we stop it: By identifying and blacklisting IP addresses from known data centers, recognizing the signatures of headless browsers (browsers run by scripts, not humans), and detecting inhuman click velocities and Browse patterns.
What it is: Non-human traffic generated by automated software, scripts, and botnets, which often run on servers in data centers around the world.
How we stop it: By identifying and blacklisting IP addresses from known data centers, recognizing the signatures of headless browsers (browsers run by scripts, not humans), and detecting inhuman click velocities and Browse patterns.
What it is: Clicks from real people who have fraudulent intent. This includes two main groups:
Competitor Clicks: Rivals who repeatedly click your ads with the sole purpose of exhausting your daily budget and taking you out of the auction.
Click Farms: Organized groups of low-wage workers who are paid to manually click on ads all day with no intention of ever making a purchase.
How we stop it: By analyzing the frequency and timing of clicks from specific IP addresses and Device IDs, we can flag patterns that are inconsistent with genuine customer interest and indicate a deliberate attack.
What it is: Advanced techniques used by fraudsters to mimic legitimate users. This includes using VPNs or residential proxies to fake their location, or using device emulation software to pretend they are on a high-value mobile device.
How we stop it: This is where our multi-layered analysis shines. Our advanced device fingerprinting (Stable Device ID) can identify a single device hiding behind hundreds of rotating IP addresses. We also cross-reference dozens of data points to spot inconsistencies—like a device claiming to be an iPhone but having a technical signature of a Windows PC—that expose these deceptions.
What it is: Clicks that are not necessarily malicious but still provide zero value and waste your money. A common example is repeated accidental clicks from users of poorly designed mobile apps on the Google Display Network.
How we stop it: By analyzing post-click engagement. If traffic from a specific ad placement consistently results in an instant bounce with zero time on page, we can flag it. This allows you to block that low-quality source and reallocate your budget to placements that drive real engagement.
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How does ClickSambo check IP addresses?