Revolutionary Anomaly Detection
Starts from $97/Month
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AdTector is an online fraud detection and mitigation solution that actively screens web traffic for malicious activity. By comparing a website's incoming click traffic to the performance level of its actual advertising, AdTector stops bad actors from stealing online advertisers' ... Read More
Starts from $97
Yearly plans
Show all features
Basic
$97
/Month
Up to 1,000 Clicks / Month
Up to 5 Domains
Detailed Daily Reports
Comprehensive Traffic Analysis
24/7/365 System Monitoring
Automatic IP Filtering & Blocking
Automatic Refund Claims
Dedicated Support
Pro
$247
/Month
Up to 10,000 Clicks / Month
Up to 20 Domains
AdTector Global Coverage
Detailed Daily Reports
Comprehensive Traffic Analysis
24/7/365 System Monitoring
Automatic IP Filtering & Blocking
Automatic Refund Claims
Enterprise
$447
/Month
Unlimited Clicks / Month
Unlimited Domains
AdTector Global Coverage
Detailed Daily Reports
Comprehensive Traffic Analysis
24/7/365 System Monitoring
Automatic IP Filtering & Blocking
Automatic Refund Claims
Screenshot of the AdTector Pricing Page (Click on the image to visit AdTector 's Pricing page)
Disclaimer: Pricing information for AdTector is provided by the software vendor or sourced from publicly accessible materials. Final cost negotiations and purchasing must be handled directly with the seller. For the latest information on pricing, visit website. Pricing information was last updated on .
Customer Service
Online
Location
Los Angeles, California
AdTector is an online fraud detection and mitigation solution that actively screens web traffic for malicious activity. By comparing a website's incoming click traffic to the performance level of its actual advertising, AdTector stops bad actors from stealing online advertisers' money by delivering fake clicks from their ad networks. Using AdTector will ensure website's advertiser's pay for real visitors, not bogus ones.
Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].
Researched by Rajat Gupta