Click fraud occurs in pay per click online advertising when a person, automated script, or computer program imitates a legitimate user of a web browser clicking on an ad, for the purpose of generating an improper charge per click. Click fraud is the subject of some controversy and increasing litigation due to the advertising networks being a key beneficiary of the fraud whether they like it or not.
Use of a computer to commit this type of fraud is a felony in many jurisdictions, for example as covered by Penal code 502 in California and the Computer Misuse Act 1990 in the United Kingdom. There have been arrests relating to click fraud with regard to malicious clicking in order to deplete a competitor's advertising budget.
In 2004, a California man created a software program that he claimed could let spammers defraud Google out of millions of dollars in fraudulent clicks. Authorities said he was arrested while trying to blackmail Google for $150,000 to hand over the program.*
Pay per click advertising or PPC advertising is an arrangement in which webmasters (operators of web sites), acting as publishers, display clickable links from advertisers, in exchange for a charge per click. As this industry evolved, a number of advertising networks developed which acted as middlemen between these two groups (publishers and advertisers). Each time a (believed to be) valid web user clicks on an ad, the advertiser pays the advertising network, who in turn pays the publisher a share of this money. This revenue sharing system is seen as an incentive for click fraud.
The largest of the advertising networks, Google's AdWords/AdSense and Yahoo! Search Marketing, act in a dual role, since they are also publishers themselves (on their search engines). According to critics, this complex relationship may create a conflict of interest. For instance, Google loses money to undetected click fraud when it pays out to the publisher, but it makes money when it collects it from the advertiser. Because of the spread between what Google collects and what Google pays out, click fraud directly and invisibly profits Google.
Advertising networks try to stop fraud by all parties, but often do not know which clicks are legitimate. Unlike fraud committed by the publisher, it is hard to know who should pay when past click fraud is found. Publishers resent having to pay refunds for something that is not their fault. However, advertisers are adamant that they should not have to pay for phony clicks.
Much larger scale fraud also occurs. Those engaged in large scale fraud will often run scripts which simulate a human clicking on ads in web pages. However, huge numbers of clicks appearing to come from just one, or a small number, of computers, or single geographic area, look highly suspicious to the advertising network and advertisers. Clicks coming from a computer known to be that of a publisher also look suspicious to those watching for click fraud. A person attempting large scale fraud, alone in their home, stands a good chance of being caught.
Organized crime can handle this by having many computers with their own internet connections in different geographic locations. Often scripts fail to mimic true human behavior, so organized crime networks use Trojan code to turn the average person's machines into zombie computers and using sporadic redirects or DNS-cache-poisoning to turn the oblivious user's actions into actions generating revenue for the scammer.
Impression fraud is an insidious variant of click fraud in which the advertiser is penalized for having an unacceptably low click-through rate for a given keyword. This involves making numerous searches for a keyword but without clicking of the ad. Such keywords are disabled automatically, enabling a competitor's lower-bid ad for the same keyword to continue while several high bidders (on the first page of the search results) have been eliminated.
It is very difficult for advertisers, advertising networks, and authorities to pursue cases against networks of people spread around multiple countries.
In July of 2005, Yahoo, the company that invented the PPC advertising model, settled a class action lawsuit against it by plaintiffs alleging it did not do enough to prevent click fraud. Yahoo paid $4.5 million in legal bills for the plaintiffs, and agreed to settle advertiser claims dating back to 2004 *.
The pay-per-click industry is lobbying for tighter laws on the issue. Many hope to have laws that will cover those not bound by contracts.
A number of companies are developing viable solutions for click fraud identification and are developing intermediary relationships with advertising networks. Such solutions fall into two categories:
a) Forensic analysis of advertisers' web server log files
This analysis of the advertiser's web server data requires an in-depth look at the source and behavior of the traffic. As industry standard log files are used for the analysis, the data is verifiable by advertising networks.
b) Third-party corroboration
Third parties offer web-based solutions that might involve placement of single-pixel images or Javascript on the advertiser's web pages and suitable tagging of the ads. The visitor may be presented with a cookie. Visitor information is then collected in a third-party data store and made available for download. The better offerings make it easy to highlight suspicious clicks and they show the reasons for such a conclusion. Since an advertiser's log files can be tampered with, their accompaniment with corroborating data from a third party forms a more convincing body of evidence to present to the advertising network.
The open source AdLogger software allows specific IP addresses to be blocked from viewing certain ads, and also allows for the automatic banning of repeat clickers. These methods help a site owner to monitor where their Google AdSense click throughs are coming from on the internet and therefore able to spot patterns that could indicate click-fraud. Once a source of clicks has been identified as potentially fraudulent the software can be used to block the location of those click from continuing.
Internet advertising and promotion | Internet fraud | Electronic commerce | Fraud
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