An advertising network (also called an online advertising network or ad network) is a collection of (often unrelated) online advertising inventory.

Online advertising inventory comes in many different forms. This inventory can be found on websites, in instant messaging applications, in adware, in e-mails, and on other sources. Some examples of advertising inventory include: banner ads, rich media, text links, and e-mails. (This is not an exhaustive list.)

Large publishers often sell only their remnant inventory through ad networks. While not commonly known, even among many large publishers remnant inventory can exceed 50% of total inventory, although this is not always the case. Typical numbers range from 10% to 60% of total inventory being remnant and sold through advertising networks.

Smaller publishers often sell all of their inventory through ad networks. One type of ad network, know as the blind network, is such that advertisers place ads, but do not know the exact places where their ads are being placed.

In most cases, ad networks deliver their content through the use of a central ad server.

Large ad networks include a mixture of search engines, media companies, and technology vendors.

This article is licensed under the GNU Free Documentation License. It uses material from the Wikipedia.

Litigation

Disputes over the issue have resulted in a number of lawsuits. In one case, Google (acting as both an advertiser and advertising network) won a lawsuit against a Texas company called Auction Experts (acting as a publisher), which Google accused of paying people to click on ads that appeared on Auction Experts’ site, costing advertisers $50,000[1]. Despite networks’ efforts to stop it, publishers are suspicious of the motives of the advertising networks, because the advertising network receives money for each click, even if it is fraudulent.

Solutions

Proving click fraud can be very difficult, since it is hard to know who is behind a computer and what their intentions are. Often, the best an advertising network can do is to identify which clicks are most likely fraudulent, and not charge the account of the advertiser. Ever more sophisticated means of detection are used, but none are foolproof.

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.

This guide is licensed under the GNU Free Documentation License. It uses material from the Wikipedia.

Click fraud can be as simple as one person starting a small web site, becoming a publisher of ads, and clicking on those ads to generate revenue. Oftentimes, the number of clicks, and their value, is so small, that the fraud goes undetected. Oftentimes publishers will claim small amounts of such clicking is an accident, which is often the case.

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 connection, 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 where 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.

This guide is licensed under the GNU Free Documentation License. It uses material from the Wikipedia.

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.

Links

• “Web start-ups vie to detect ‘click fraud’.” Wall Street Journal Online. Retrieved June 10, 2005.
• “Vendors release click-fraud detection tools.” eWeek. Retrieved March 4, 2005.
• “Click fraud roils search advertisers.” C|Net News.com. Retrieved March 4, 2005.
• “Mice Attack: Internet scammers steal money with ‘click fraud’.” Newsweek. Retrieved January 18, 2005.
• “Google CFO: Fraud a Big Threat.” CNN Money. Retrieved December 2, 2004.
• “Click fraud threatens web.” Wired News. Retrieved October 13, 2004.
• “How Click Fraud Could Swallow the Internet.” Wired Magazine, issue 14.01 (January 2006). Retrieved December 29, 2005.
• “Click fraud fears growing for online advertisers.” Times Online. Retrieved February 2006

This guide is licensed under the GNU Free Documentation License. It uses material from the Wikipedia.

Pay per click, or PPC, is an advertising technique used on websites, advertising networks, and search engines.

With search engines, pay per click advertisements are usually text ads placed near search results; when a site visitor clicks on the advertisement, the advertiser is charged a small amount. Variants include pay for placement and pay for ranking. Pay per click is also sometimes known as Cost Per Click (CPC).

While many companies exist in this space, Google Adwords and Yahoo! Search Marketing, which was formerly Overture, are the largest network operators as of 2006. MSN has started beta testing with their own PPC services MSN adCenter. Depending on the search engine, minimum prices per click start at US$0.01 (up to US$0.50). Very popular search terms can cost much more on popular engines. Abuse of the pay per click model can result in click fraud. Click fraud is usually not detected very well by smaller PPC engines.

Categories

PPC engines can be categorized in “Keyword”, “Product”, “Service” engines. However, a number of companies may fall in two or more categories. More models are continually being developed.

Keyword PPCs

Advertisers using these bid on “keywords”, which can be words or phrases, and can include product model numbers. When a user searches for a particular word or phrase, the list of advertiser links appears in order of bidding.

As of 2005, notable PPC Keyword search engines include: Google AdWords, Yahoo! Search Marketing, GaZabo.com, Miva, which was formerly FindWhat, SearchFeed, Enhance (formerly Ah-Ha), GoClick, 7Search, Kanoodle, ePilot, Search123, Kazazz, Pricethat, Search FAST and others.

An industry of professional services firms that can assist advertisers in marketing their products and services on search engines has also developed. Many of these firms will be members of various trade bodies such as IABUK, SMA-UK and SEMPO, while other reputable firms have chosen to avoid these bodies, as many of them remain heavily biased toward the firms that first got together and founded them.

Product PPCs

“Product” engines let advertisers provide “feeds” of their product databases and when users search for a product, the links to the different advertisers for that particular product appear, giving more prominence to advertisers who pay more, but letting the user sort by price to see the lowest priced product and then click on it to buy. These engines are also called Product comparison engines or Price comparison engines.

Some of the PPC Product search engines are: BizRate, NexTag, PriceGrabber, Pricescan, Pricethat, Pricewatch, PriceLeap, Shopping.com

Service PPCs

“Service” engines let advertisers provide feeds of their service databases and when users search for a service offering links to advertisers for that particular service appear, giving prominence to advertisers who pay more, but letting users sort their results by price or other methods. Some Product PPCs have expanded into the service space while other service engines operate in specific verticals.

Examples of PPC services include NexTag, Pricethat SideStep, and TripAdvisor.

Pay per Call

Similar to pay per click, pay per call is a business model for ad listings in search engines and directories that allows publishers to charge local advertisers on a per-call basis for each lead (call) they generate. The term “pay per call” is sometimes confused with “click to call”[1]. Click-to-call, along with call tracking, is a technology that enables the “pay-per-call” business model.

According to the Kelsey Group, the pay-per-phone-call market is expected to reach US$3.7 billion by 2010.

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Cost Per Click or CPC (as it is often initialized to) is a phrase often used in online advertising and online marketing circles.

With many advertising networks and websites, the advertiser is charged for advertising their ad (on the advertising network or website) only when a user clicks on their ad. How much they pay (for that click) is called their Cost Per Click or CPC.

The CPC can be determined by different factors, depending on which advertising network or website the advertiser is advertising on.

Other common forms, of charging for advertising, include:

• CPM
• CPA
• CPT

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Billboards and street advertising in Shinjuku, Tokyo, Japan, (2005)

Generally speaking, advertising is the promotion of goods, services, companies and ideas, usually by an identified sponsor. Marketers see advertising as part of an overall promotional strategy. Other components of the promotional mix include publicity, public relations, personal selling and sales promotion.

Online advertising is advertising on the Internet. This particular form of advertising is a source of revenue for an increasing number of websites and companies.

There are two sides to online advertising, a legitimate one and an illegitimate one. The legitimate side of online advertising includes search engine advertising, advertising networks and opt-in e-mail advertising. The illegitimate side is dominated by spamming.

Though the range of advertising options has expanded since in the commercialization of the Internet, the use of rich media and static images is extremely popular. The ever-increasing audience of online users will likely continue to be a major advertising market.

This guide is licensed under the GNU Free Documentation License. It uses material from the Wikipedia.