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What Types of Click Fraud Does ClickSambo Prevent?

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 Invalid Traffic.

Here are the primary types of threats we target: 🛡️

Automated Threats (Bots & Data Centers)

Non-human traffic generated by automated software, scripts, and Ad Fraud Botnets, which often run on servers in data centers around the world. These include the notorious Google Click Bot scripts that drain budgets in milliseconds.

We employ advanced Bot Traffic Fraud Protection by identifying and blacklisting IP addresses from known data centers. Our Bot Management Solutions recognize the signatures of headless browsers (browsers run by scripts) and detect inhuman click velocities. This allows us to Block Bot Traffic effectively before it skews your analytics.

Malicious Human Clicks

Clicks from real people who have fraudulent intent. This includes two main groups:

Competitor Clicks: Rivals who engage in Competitor Pay Per Click abuse, repeatedly clicking your ads to exhaust your daily budget and remove you from the auction.

Click Farms: Organized groups of low-wage workers using Click Farm Software to manually click on ads all day with no intention of purchasing. This is often referred to as a Google Ads Click Farm attack.

How we stop it: Our Competitor Click Fraud Protection analyzes the frequency and timing of clicks. By monitoring specific IP addresses and Device IDs, we flag patterns inconsistent with genuine interest, offering robust Ad Fraud Protection against these deliberate attacks.

Sophisticated & Deceptive Fraud

Advanced techniques used by fraudsters to mimic legitimate users. This includes using VPNs for Regional Traffic Fraud Detection evasion or device emulation software to fake a high-value mobile device (a common tactic in Mobile Ad Fraud).

This is where our multi-layered analysis shines. Our Mobile Ad Fraud Detection and device fingerprinting (Stable Device ID) can identify a single device hiding behind hundreds of rotating IP addresses. We cross-reference data points to spot inconsistencies—like a device claiming to be an iPhone but having the technical signature of a Windows PC—that expose these Sophisticated Invalid Traffic sources.

Low-Quality & Wasteful Traffic

Clicks that are not necessarily malicious but still provide zero value. A common example is repeated accidental clicks from users of poorly designed apps

By performing deep Traffic Source Analysis and monitoring post-click engagement. If traffic from a specific placement results in instant bounces, our PPC Optimisation Tool flags it. This allows you to block that source and reallocate your budget to placements that drive real engagement