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Fraud Blocker - Click Fraud Software

Fraud Blocker

Defend your website with intelligent fraud detection.

(15 ratings)

Starts from $33/Month when Billed Yearly

Overview of Fraud Blocker

What is Fraud Blocker ?

Fraud Blocker is advanced click fraud prevention tool announcing a new era of website traffic management. Fraud Blocker uses smart number theory to identify patterns of fraudulent traffic. Its Patent-pending model 'thinks' like fraudulent clickers by overloading the website with ... Read More

API not available

Fraud Blocker Platforms

  • Browser Based (Cloud)

Fraud Blocker Customer Type

  • Large Enterprises
  • Medium Business
  • Small Business

Pricing of Fraud Blocker

Starts from $33 when Billed Yearly

  • Free Trial,
  • Subscription,
  • Quotation Based

Screenshot of the Fraud Blocker Pricing Page (Click on the image to visit Fraud Blocker 's Pricing page)

Disclaimer: Pricing information for Fraud Blocker 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 .

Fraud Blocker Alternatives

Fraud Blocker FAQs

Here's a list of the best alternatives for Fraud Blocker
No, Fraud Blocker doesn't provide API.
No, Fraud Blocker doesn’t provide mobile app.
Fraud Blocker is located in Pasadena, California
Fraud Blocker offers Free Trial, Subscription, Quotation Based pricing models
We don't have information regarding integrations of the Fraud Blocker as of now.

Fraud Blocker Support

Contact

+1 (800) 796-5574

Customer Service

Online

Location

Pasadena, California

Reach out to Fraud Blocker Social channels

Read More about Fraud Blocker

Fraud Blocker is advanced click fraud prevention tool announcing a new era of website traffic management. Fraud Blocker uses smart number theory to identify patterns of fraudulent traffic. Its Patent-pending model 'thinks' like fraudulent clickers by overloading the website with fake IPs, understanding how it impacts the website's performance, and then learns from those patterns to block them in real-time and prevent website from being hacked and defrauded.

Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].

Researched by Rajat Gupta