CPC Fraud Detection & Prevention
CPC Fraud Detection & Prevention icon

CPC Fraud Detection & Prevention

Publisher: Millennium Software Inc
Version: 1.0
License: Shareware
Price: $59.95
Operating Systems: Mac,Other Platform,OS X - Macintosh
System Requirements: any computer with an internet connection
File Size: 1.00 MB
Total Views: 1338
Total Downloads: 0
Rating: CPC Fraud Detection & Prevention not yet rated. [Submit Review] [Award Rating]
Release Date: 10/30/2012
Last Update Date: 10/14/2017
CPC Fraud Detection & Prevention Short Description:
WEB VISITOR ID Deep analysis of each visit to your website
CPC Fraud Detection & Prevention Long Description:
Deep 24/7 analysis of each and every visitors to your website. Prevents CPC click fraud by identifying repeating one click visits to your campaigns.

WV-ID identifies search engines each new visitor uses to arrive at your site.

WV-ID gives you each visitor IP address, location, web site and company name.

WV-ID give you each visitor time on site and number of clicks.

COLLECTS VISITOR INFORMATION NOT AVAILABLE ELSEWHERE

Well beyond Google Analytics and awstats.
Reports search engine, city country, web site, ISP origin and direct referrals.
Identifies spammer visitor IP address and locations.

BLOCK IP ADDRESSES COMMITTING FRAUD ON YOU

For many reasons some people will cause repeated fraudulent clicks to be sent to your CPC campaigns. Competitors, spammers? Who knows YOU WILL!
WV-ID tells you who is repeatedly fraudulently causing one click one second visits.
WV-ID identifies the search engine.
Enter fraudulent visitor IP addresses into IP address exclusion resource in Google Adwords. (Tools > Campaign > IP Exclusion) & block their visits.
Keep blocking fraudulent visit IP addresses to increase your advertising ROI.

DEEP ANALYSIS - CHECK MONITOR EACH AD CAMPAIGN

WV-ID provides a unique tracking code for each campaign landing page.
Each code returns visitor IP address, visit time, clicks, location, web URL.
Know which visitors stayed longest and why (keyword analysis).
Know which visitors returned, how often and how long.
Know which visits are fraudulent.

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