Fraud Blocker provides an all-in-one solution that improves ad performance by analyzing, detecting, and preventing ad fraud.
Today, the company protects over 4,000 websites and analyzes 500,000 IP addresses per day to ensure advertisers are not wasting their ad spend on fraudulent and invalid ad traffic such as from bots, competitors, accidental clicks and more. The company has also received numerous awards from software review company G2 including “High Performer” (Fall 2023) and “Momentum Leader” (Fall 2023), among others.
For more information about Fraud Blocker or to schedule a demo, visit fraudblocker.com.
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After conducting thorough research and a rigorous evaluation process, we have determined whether this software includes the top 5 essential features.
Fraud Blocker stands out in the realm of online advertising protection with its user-friendly interface, affordable pricing, and comprehensive features designed to automatically block fraud in Google Ads campaigns. The platform has been recognized with numerous awards, reflecting its effectiveness and value to users. It also offers a generous 14-day free trial, giving users ample time to assess its capabilities. However, it falls short in offering fully automated protection for Microsoft Ads, requiring manual intervention, and does not currently support Meta Ads campaigns, though this feature is reportedly in development. Despite not offering a whitelabel platform for agencies, Fraud Blocker distinguishes itself with unique features such as fraud detection and protection, customizable rules, geo-location protection, and advanced traffic reporting and analysis, making it a robust solution for safeguarding online advertising investments.
No. Fraud Blocker does not require any contracts or long-term commitments in order to use the service. They are month-to-month and can be canceled anytime.
Fraud Blocker’s software analyzes, detects and prevents ads from appearing on websites and sources that they determine are invalid or fraudulent. They do this by monitoring your ad traffic and looking for irregular clicking behaviors and source data that indicates it's from a bot, non-human source, competitor, etc. They review dozens of indicators such as IP-to-device ratios, click frequency, VPNs/proxies, headless browsers and more.
A recent study done by Juniper Research found that 22% of ad spend is lost to ad fraud in 2023 alone, and $172 billion in ad spend will be lost to fraud by 2028.