Average Ratings 2 Ratings
Average Ratings 0 Ratings
Description
ClickGuard is an AI-driven click fraud prevention platform built to help businesses maximize the effectiveness of their pay-per-click advertising campaigns by eliminating fraudulent traffic. The software monitors advertising activity across platforms like Google Ads, Meta Ads, and Microsoft Ads to detect invalid clicks generated by bots, click farms, competitor attacks, and low-quality traffic sources. Using advanced real-time analytics and fraud detection systems, ClickGuard helps businesses protect their ad budgets while improving campaign targeting, lead quality, and conversion performance. The platform offers tools for click forensics, traffic validation, data accuracy monitoring, threat analytics, and automated fraud blocking to give advertisers more confidence in their campaign results. Businesses can analyze suspicious traffic patterns, monitor campaign health, and recover wasted advertising spend with detailed reporting and transparent click audits. ClickGuard also integrates with marketing and e-commerce platforms such as Shopify and HubSpot, allowing teams to manage campaign data more efficiently across their existing technology stack. The solution is designed for both technical and non-technical teams, featuring an intuitive dashboard and streamlined onboarding experience that makes implementation simple. By filtering out fake clicks and low-intent traffic, the platform helps businesses improve ROAS and make smarter advertising decisions. Companies using ClickGuard can focus more of their budgets on reaching real customers instead of losing money to fraudulent activity.
Description
Identify Mobile Ad Fraud with mFaaS, which utilizes advanced machine learning algorithms to detect fraudulent activities in real-time across more than 15 distinct reason codes. Gain a comprehensive snapshot of your mobile traffic along with potential sources of fraud through outstanding behavioral analysis and pattern recognition features. The platform offers customizable dashboards and detailed visual representations for critical insights that can drive action. Supported by over seven patent applications, our foundational technology guarantees thorough quality assessments across various campaigns, ensuring effective fraud detection. mFaaS stands as a robust mobile ad fraud detection solution, adept at recognizing various types of fraudulent traffic instantly. With mFaaS, your mobile advertising efforts can be more secure and efficient than ever before.
API Access
Has API
No
API Access
Has API
No
Integrations
ClickFunnels
Yes
HubSpot Marketing Hub
Yes
Shopify
Yes
Unbounce
Yes
Weebly
Yes
Wix
Yes
WordPress
Yes
Integrations
ClickFunnels
No
HubSpot Marketing Hub
No
Shopify
No
Unbounce
No
Weebly
No
Wix
No
WordPress
No
Pricing Details
$89/month
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
Yes
iPad App
Yes
Android App
Yes
Windows
Yes
Mac
Yes
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
ClickGuard
Founded
2016
Country
United States
Website
www.clickguard.com
Vendor Details
Company Name
mTraction
Founded
2018
Country
India
Website
mfaas.com
Product Features
Click Fraud
Account Alerts
Yes
Activity Monitoring
Yes
IP Address Monitoring
Yes
IP Blocking
Yes
Keyword Tracking
Yes
Refund Management
Yes
Risk Assessment
Yes
Time on Site Tracking
Yes
Product Features
Click Fraud
Account Alerts
No
Activity Monitoring
No
IP Address Monitoring
No
IP Blocking
No
Keyword Tracking
No
Refund Management
No
Risk Assessment
No
Time on Site Tracking
No