ClickMoat

ClickMoat

ClickMoat detects and blocks click fraud in Google Ads, protecting your PPC budget from invalid traffic and bots.

Screenshots

ClickMoat screenshot

About ClickMoat

ClickMoat is a dedicated click fraud prevention platform that safeguards Google Ads campaigns from malicious and accidental invalid clicks. By identifying and blocking fake impressions, competitor clicks, bot traffic, and other fraudulent activities, the platform helps advertisers maintain campaign integrity and protect their ad spend. This protection directly improves your Quality Score and reduces wasted budget on non-genuine interactions. The platform provides comprehensive visibility into your traffic quality through an intuitive dashboard displaying blocked clicks, estimated savings, and detailed performance metrics across campaigns, keywords, and geographic regions. Users gain transparent insights into why specific IP addresses are flagged, enabling informed decisions about their advertising environment. Advanced customization options allow manual IP blacklisting and automated VPN blocking to tailor protection rules to your specific needs. ClickMoat empowers advertisers with actionable data when disputes arise. The platform enables users to download complete click reports for manual refund requests to Google, turning fraud evidence into financial recovery. With continuous customer support and multi-platform compatibility beyond Google Ads, ClickMoat delivers a complete fraud prevention solution designed to maximize advertising ROI while maintaining a cleaner, more authentic audience engagement.

Pros

👍 Blocks invalid clicks and bots to improve Quality Score and save budget 👍 Customizable IP blacklisting and automatic VPN detection rules 👍 Detailed analytics and click reports for refund requests to Google 👍 Real-time insights into traffic quality with transparent blocking reasons

Cons

👎 Primary focus on Google Ads limits applicability for multi-platform campaigns 👎 Requires manual refund requests to Google despite fraud detection 👎 Effectiveness depends on accurate configuration and ongoing monitoring