Click Fraud Network

The Click Fraud Network is a community of online advertisers, agencies and search providers working together to discuss ideas, share best practices, and work closely to develop industry standards and solutions to the click fraud problem. Click Fraud Network members receive free basic access to Click Forensics click fraud reporting system which provides campaign reports detailing click fraud threat level by keyword and search provider. Additionally, the Click Fraud Network publishes aggregate data using the Click Fraud Index. This information helps members identify trends and communicate with each other about this growing issue. Join today and help us work together to solve the click fraud problem.
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Click Farms

This blog has been bringing you a series of posts which cover the basics of click fraud.  This series is continued with an article on click farms.

What is a click farm?  Basically a click farm is a loosely couple group of people who are paid to click on ads.  Click farms are often called pay to surf schemes and can be camouflaged behind market research, usability test and other nefarious devices to hide the real reason click farms exist; to make money fraudulently.

To break down how the activity is accomplished, the click farmer will broadcast a series of keywords or links he or she wished to be attacked, the farm labourer will then precede to search for these keywords and click on the ad which is targeted.  They will then browse the site, clicking on a number of links.  The farm labourer may even request newsletters via an e-mail sign up; in short, they act like a real user.  This is repeated many times, the farm labourer will then receive a micro payment per ad clicked.

Click farms are used by people committing both Competitor Click Fraud and Publisher Click Fraud.  The publisher, to generate revenue, the competitor to remove competition for keywords and get clicks at a reduced cost.

As mentioned, click farms generate traffic which resembles the profile of a real visitor this makes it very hard for the search engine’s invalid click filters to spot this type of activity.  How do you develop a filter to spot invalid activity which looks exactly like the traffic which generates conversions?

Click farms are loosely coupled groups of people usually working under the banner of a get rich quick, pay while you surf scheme.  The out payments (if they are ever made) are usually very low.  Increasingly people in the developing world are used to provide the farm labour where a few cents per click multiplied over a days work can accumulate to a decent amount of money.

A click farm is made profitable via some simple rules of economics. In the case of publisher click fraud, as long as the out payment from the ad provider is more than the cost per click from a farm labourers, there is money to be made, multiply this up by a number of labourers and there is big money to be made.

The keyword competitors make click farm fraud viable in less tangible method.  High value items costing thousands of dollars make a few hundred dollars of click farm time viable.  The illicit clicking can then be factored into the cost of client acquisition so a profit can be realised.

Click farms represent a real threat to your campaigns, geo-targeting your ads outside of developing countries which present a high risk of click farm activity is one solution along with the click farm detection functionality of Click Forensics.

The next article in this series will discuss what the search engines are doing about click fraud.

Other posts in the series:

Publisher Click Fraud

Competitor Click Fraud

Click Bots

Neil Matthews is an independent click quality consultant; details of his work can be seen at www.clickqualityconsultant.com

Published Friday, April 04, 2008 2:26 PM by Neil Matthews

Comments

 

Click Farms | Click Abusers said:

April 11, 2008 4:05 AM
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About Neil Matthews

I am an independent click fraud consultant with over fifteen years IT experience. For the last six years I have been working on internet facing systems building and maintaining enterprise class web architectures for companies such as Nissan, CSC, and the UK’s National Health Service. More recently I have focused on pay per click marketing and problems with click fraud on my own campaigns and an interest in detecting the fraudsters lead me to a career in click fraud.