Click fraud

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Click fraud is the act of illegally clicking on pay-per-click (PPC) online advertising to generate fraudulent charges. In Online Advertising, advertisers pay the owners of the website based on how many visitors to the site click on the ads. Fraud occurs when an individual, computer program or generated script exploits online advertisers by repeatedly clicking on a PPC (pay-per-click) advertisement to increase site revenue or to exhaust advertisers' budgets. Since the ads aren't clicked on by people who have a legitimate interest in the target of the ad's link, click fraud boosts advertising costs, lowers conversion rates and misrepresents user data for businesses. Per-per-click online advertising has come under increased scrutiny and litigation due to the practice of click fraud.

[[File:Click.jpg|thumb|300px|Click fraud used to generate revenue for publishers]

PPC Advertising PPC or pay-per-click is a model of internet marketing in which advertisers pay a certain amount every time one of their ads is clicked online. It was meant to replace the practice of display advertising in which advertisers pay money to sites just for showing their ads. Essentially, marketers aren't paying for ad placement but are paying only when their ad is clicked by an online user. Search engine advertising is the most popular method of PPC. Search engines like Google or Bing give advertisers the opportunity to bid for ad placement in the search engine's sponsored links when a person searches for something that is connected to the advertiser's business. This gives advertisers the chance to place their product or service in the sponsored links in the form of an ad that aims at specific keywords.

Types of Click fraud There are two basic types of click fraud in PPC online advertising, "automated and competitor". Automated click fraud is a software or a script that is designed to click on pay-per-click ads for various purposes while the latter of these two is when a competitor or an employee physically clicks on the PPC ads to drain the advertiser's budget. Automated click fraud is more malicious as compared to competitor click fraud because of its efficiency and speed.

Perpetrators Perpetrators of click fraud can be broken down into primary and secondary sources. A primary source is the contracting parties, either the advertiser or the publisher or the customer. The advertiser would want the ad to be clicked as often as possible in order to generate more money and is likely to engage in a click fraud to do so. An advertiser might click on its own ad multiple times to make it look like a click fraud by the marketer to renegade its contract with the marketer. An uncommon primary click fraud is when a customer regularly clicks on paid search advertisements to visit a website and gets paid by the publisher. Secondary sources are non-contract parties who are not involved in the ad contract. Some examples are competitors of advertisers, competitors of publishers and friends of publishers.

Lawsuits Advertisers vs Networks: On March 8, 2006, Lane's Gifts and Collectibles filed a lawsuit on behalf of all Google Advertisers who had used the service since 2002. Google agreed to a $90 million settlement but none of the companies actually received the money. Instead, all the advertisers received reimbursements on their ads that had experienced click fraud.

Advertisers vs Advertisers: In February 2017, a Texas jury ordered Trimax Media, a digital advertising agency specializing in search engine marketing, to pay one of its competitors, Wickfire, $2.3 million for a click fraud scam. Wickfire filed a lawsuit in 2014 claiming that Trimax begab bidding on search terms associated with Wickfire clients and clicking on those ads to drive up the advertising costs.

Clients vs Agencies: Uber has sued its ad agency Fetch Media Ltd for alleged click fraud and deception, claiming that Fetch unfairly billed Uber for fake online ads and downloads it wasn't involved with.

Advertiser's Prevention 1) Exclude Unwanted IP Addresses Fraudulent clicks usually come from a single IP address and once the IP address is located, it can be excluded in order to prevent the IP address from accessing your ad. However, Google Ads data is secures such information so, the IP addresses can't be tracked from the ads account. To spot a pattern and identify an offending IP address, you’ll have to dig into your server’s logs.

2) Ad Targeting Sometimes it might not just be a single IP address that will aim your ads, and in fact, could be a host of different servers accessing it from one geographical location. In this scenario, you can exclude that specific geographical area if you notice a pattern of suspicious clicks from that region.

3) Specialized software Enlisting a specialized software can help you track suspicious activity. These softwares can help you build a fraud report on suspicious activity and that can be used as evidence as well. There are platforms that can help you fight click fraud and tailor campaigns to achieve your campaign objectives. This is done by providing multi-channel campaign strategies including LinkedIn advertising and video advertising.

4) Timestamp: Noticing any similarities in action or time can be an indication of click fraud as bots-based click frauds run repeatedly to attempt clicking on the ads, leaving a timestamp for the click frequency.

Publisher's Solution Google has been fighting click fraud since PPC advertising originated and has created a robust anti-click fraud program. Google is usually the search engine party that acts as the publisher and is using automated filters in its detection system. Advanced algorithms detect and filter out invalid clicks in real-time before charging its advertisers. Google’s Ad Traffic Quality Team also conducts manual, offline analysis and removes any clicks that they deem invalid. Apart from these measures, Google also inspects suspicious activity reported by advertisers and initiates investigations on invalid clicks.

See Also Advertising Ethics Online Location targeted advertising Targeted Advertising (Online)


References