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TrafficSaviour is an advanced AI-powered solution designed to boost the success of advertising campaigns by employing real-time detection and filtering to identify and eliminate fraudulent traffic. This platform conducts a thorough analysis of multiple elements, including click behavior, device identifiers, IP reliability, geographical data, referral sources, and user activity, enabling it to differentiate between legitimate visitors and suspicious actions. By preventing access from bots, VPNs, proxies, data center traffic, and other potentially harmful entities, TrafficSaviour significantly curtails unnecessary advertising spending for businesses that engage in search, social, native, and display advertising. Furthermore, it integrates effortlessly with platforms like WordPress, PHP, and JavaScript, ensuring rapid and flexible implementation.
Users gain access to tailored filtering options, geographic targeting, device and operating system specifications, and real-time analytics that facilitate effective campaign assessment, along with comprehensive reports that deepen insights into traffic quality. This cutting-edge technology not only allows businesses to concentrate on drawing in genuine visitors but also leads to more informed advertising strategies and improved overall outcomes. Moreover, TrafficSaviour's functionalities guarantee that advertising budgets are spent more wisely, ultimately enhancing the return on investment, while the ongoing updates and support ensure the system remains at the forefront of industry standards.
What is ShieldLabs?
ShieldLabs excels in identifying and preventing fraudulent activities while simultaneously assessing traffic quality through advanced scoring techniques. The company effectively addresses challenges like multi-accounting, account sharing, account takeovers, fake registrations, and advertising fraud.
Utilizing a single JavaScript snippet, ShieldLabs captures over 100 unique signals from devices and networks with every visit, enabling thorough cross-verification that uncovers complex masking strategies and achieves an impressive detection accuracy of up to 99%. It can effortlessly recognize returning users, even when they have cleared their cookies, used incognito modes, or connected via different IP addresses, while also tracking linked users across various accounts and devices.
Instead of merely applying a binary flag, the system categorizes a range of elements such as VPNs, proxies, Tor, Apple Private Relay, datacenter IPs, anti-detect browsers, browser automation tools, bots, and AI agents as distinct signals. Each visitor, user, device, and IP is assigned a unique risk score, with established patterns addressing prevalent fraud scenarios like multi-accounting, account sharing, account takeovers, and impossible travel incidents, and traffic quality is assessed based on its origin, channel, and campaign.
Setting up this solution is a quick process, taking only five minutes and including client and server SDKs, public APIs, and signed webhooks, which makes it an appealing choice for businesses eager to bolster their security quickly. Consequently, organizations can effectively establish strong defenses against fraud while ensuring a smooth and uninterrupted user experience for their customers. Additionally, this comprehensive approach allows businesses to adapt and respond to emerging threats in real time, further enhancing their protective measures.
Media
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Media
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Integrations Supported
Additional information not provided
Integrations Supported
Additional information not provided
API Availability
Has API
API Availability
Has API
Pricing Information
$45/month
Free Version
Free Trial Offered?
Pricing Information
$79/month
Free Version
Free Trial Offered?
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
TrafficSaviour
Date Founded
2026
Company Location
United States
Company Website
trafficsaviour.com
Company Facts
Organization Name
ShieldLabs Inc
Date Founded
2025
Company Location
United States
Company Website
shieldlabs.ai/
Categories and Features
Categories and Features
Fraud Detection
Access Security Management
Check Fraud Monitoring
Custom Fraud Parameters
For Banking
For Crypto
For Insurance Industry
For eCommerce
Internal Fraud Monitoring
Investigator Notes
Pattern Recognition
Transaction Approval