TrustedClicks
AI-powered IP scoring to block fraud & bot traffic
What is TrustedClicks? Complete Overview
TrustedClicks is an AI-powered IP scoring software designed to protect businesses from online threats like click fraud, bot traffic, and invalid clicks. By analyzing visitor IPs in real-time, it assigns risk scores to detect and block fraudulent activity, ensuring only genuine traffic interacts with your digital assets. The tool solves critical pain points including ad fraud prevention, malicious bot detection, and proxy/VPN identification. It serves e-commerce platforms, digital advertisers, financial services, and any business vulnerable to fraudulent web traffic. Implementation has proven to significantly reduce fraudulent activities while enhancing operational efficiency, as demonstrated by Nodemaven's security improvements.
TrustedClicks Interface & Screenshots
TrustedClicks Official screenshot of the tool interface
What Can TrustedClicks Do? Key Features
Real-Time IP Scoring
Analyzes visitor IP addresses in real-time to assign fraud risk scores (0-100) based on behavior patterns, geolocation anomalies, and historical threat data. Scores update dynamically during sessions to detect emerging threats.
Bot Traffic Detection
Identifies automated bot clicks with 98.7% accuracy using machine learning models trained on 50M+ known bot patterns. Prevents Google Ads click fraud and e-commerce inventory scraping.
Proxy/VPN Detection
Flags connections from anonymous proxies and high-risk VPNs with granular classification (corporate VPNs vs. TOR nodes). Maintains updated database of 8,000+ risky exit nodes.
Industry-Specific Protection
Custom threat models for finance (loan application fraud), legal services (scraping prevention), and digital advertising (invalid click filtering). Reduces false positives through contextual analysis.
Automated Mitigation
Configurable rules automatically block/scramble content for high-risk IPs (score >80). Provides CAPTCHA challenges for medium-risk traffic (score 50-80) without disrupting legitimate users.
Best TrustedClicks Use Cases & Applications
Google Ads Protection
Eliminates invalid clicks from competitors and click farms by blocking IPs with high fraud scores before they trigger ad charges. One SaaS company reduced wasted ad spend by 63%.
E-Commerce Fraud Prevention
Stops fake account creation and checkout fraud by identifying proxy/VPN users. A retailer decreased fraudulent chargebacks by 41% while maintaining 99.2% legitimate checkout completion.
Financial Services Security
Detects loan application fraudsters hiding behind residential proxies. A fintech firm improved fraud detection by 37% without adding verification friction for real customers.
How to Use TrustedClicks: Step-by-Step Guide
Sign up for a Free or Paid plan via the dashboard. No credit card required for the Free tier (5,000 monthly lookups).
Install the lightweight JavaScript snippet or API integration (supports WordPress, Shopify, and custom platforms).
Configure risk thresholds in the dashboard. Set score thresholds for blocking (default: >80) and monitoring alerts (default: >60).
Monitor real-time traffic analysis via the dashboard's threat visualization tools, with drill-down capabilities for suspicious IPs.
Export reports showing fraud patterns by geography, time, and attack type. API available for SIEM integration.
TrustedClicks Pros and Cons: Honest Review
Pros
Considerations
Is TrustedClicks Worth It? FAQ & Reviews
Our models achieve 93-97% accuracy depending on traffic type, validated against known fraud datasets. False positive rates are kept below 0.8% through continuous learning.
Yes - we provide a direct Shopify app integration that installs in minutes. The same applies to WordPress (plugin) and most major platforms via JavaScript snippet.
No. We process IPs ephemerally for scoring and only retain anonymized threat intelligence data in compliance with GDPR/CCPA. Full privacy policy available on our site.
Median response time is 28ms globally through our Anycast network. The JavaScript solution adds <5ms of page load impact when properly implemented.