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CLICK FRAUD Alexander Tuzhilin By Vinny Rey

CLICK FRAUD Alexander Tuzhilin

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CLICK FRAUD Alexander Tuzhilin. By Vinny Rey. Why was the study done?. Google was getting sued by advertisers because of click fraud. Google agreed to have a third party review how they combated click fraud and to determine whether or not Google's methods were reasonable or not. - PowerPoint PPT Presentation

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Page 1: CLICK FRAUD Alexander Tuzhilin

CLICK FRAUD

Alexander Tuzhilin

By Vinny Rey

Page 2: CLICK FRAUD Alexander Tuzhilin

Why was the study done?

• Google was getting sued by advertisers because of click fraud.

• Google agreed to have a third party review how they combated click fraud and to determine whether or not Google's methods were reasonable or not.

Page 3: CLICK FRAUD Alexander Tuzhilin

Development of the Internet

• The Internet was developed a long time ago

• People with strong technical skills used the Internet prior to the 90’s

• WWW is a globally connected network of Web servers and browsers that allows transferring different types of web pages and other types of documents over the Internet.

• The development of the World Wide Web, Web documents and Web browsers for displaying these documents in a user-friendly fashion, made Internet much more user-friendly.

Page 4: CLICK FRAUD Alexander Tuzhilin

Development of the Pay-per-Click Advertising Model

• “Targeted ads”

1. Personal characteristics of a web page visitor known to the party delivering an ad

2. Keywords of a search query launched by the user3. Content of a web page visited by the user

For what exactly should advertisers pay and when?1. When the ad is being shown to the user2. When the ad is being clicked by the user3. When the ad has “influenced” the user in the sense that its presentation

lead to a “conversion event”Conversion event- the actual purchase of the product advertised in the adWhy wouldn’t an advertiser favor number 1?Because the user may not even look at the ad and may simply ignore it.

Page 5: CLICK FRAUD Alexander Tuzhilin

Development of the Pay-per-Click Advertising Model

• Two measures of the effectiveness of an advertisement:• Click-Through Rate (CTR): measures how often visitors click on the

ad. CTR= X/Y• Conversion Rate: gives a sense of how often visitors actually act on

a given ad, which is a better measure of ad’s effectiveness than the CTR measure.

• Cost per Mille-CPM- an advertiser pays for one thousand impressions of the ad

• Cost per Click-CPC- an advertiser pays only when the visitor clicks on the ad

• Cost per action-CPA- an advertiser only pays when a certain conversion action takes place

Page 6: CLICK FRAUD Alexander Tuzhilin

Cost Per Click

• Two problems with the Cost per click model:

• although correlated, good click-through rates are still not indicative of good conversion rates

• It does not offer any “built in” fundamental protection mechanisms against the click fraud

Page 7: CLICK FRAUD Alexander Tuzhilin

Google’s Pay-per-Click Advertising Model

• AdWords-• a program allowing advertisers to purchase CPC-based advertising that targets

the ads based on the keywords specified in the users’ search queries.

• Ad Rank = CPC x QualityScore• QualityScore- a measure identifying the “quality” of the keyword and the ad

combined• The more the advertiser is willing to pay (CPC) and the higher the click through

rate on the ad (CTR), the higher the position of the ad in the listing is. • “The actual amount of money paid when the user clicks on an ad is determined

by the lowest cost needed to maintain the clicked ad’s position on the results page.”

• Why not just bid a whole lot so the other companies will be unable to match the price?

• The advertisers don’t know the amount of money other advertisers are willing to pay

Page 8: CLICK FRAUD Alexander Tuzhilin

Click fraud in AdWords

1. Make the competitor pay more

2. If you’re second, click on the competitor’s advertisement enough so that he will hit his budget for the day

3. If you knock the second guy out, you’ll only have to pay as much as the number three guy

Page 9: CLICK FRAUD Alexander Tuzhilin

The AdSense Program

• AdSense-

• a program for website owners (publishers) to display Google’s ads on their website and earn money from google as well.

• AdSense for Search (AFS): relevant ads are displayed as links sponsored by Google; links are produced using the same method as on Google.com

• AdSense for Content (AFC): ads are based on the content of the visited pages, geographical location and some other factors.

• What is a way that a publisher can cheat through AdSense?• The publisher can continue to click on an advertisement on their site

from Google in order to receive more money from Google. • Unethical users:• AdWords = hurt other advertisers AdSense = enrich themselves

Page 10: CLICK FRAUD Alexander Tuzhilin

The Google Network

• Does most invalid clicking come from direct publishers of online publishers?

• Online publishers

• AdSense for Content (AFC) is most prone to invalid clicking.

Page 11: CLICK FRAUD Alexander Tuzhilin

Data Google Can Collect

• When a user has visited a conversion page

• Google main weakness?

• The inability to get full access to all the clicking activities of the visitors of the advertised website

Page 12: CLICK FRAUD Alexander Tuzhilin

Invalid Clicks and Google’s Definition

• “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”

• Invalid vs. Fraudulent• Publishers subscribing to paid traffic websites that artificially bring extra traffic to the

site, including extra clicking on the ads• a. invalid but not fraudulent b. fraudulent but not invalid• c. both invalid and fraudulent d. neither fraudulent or invalid

• C• Problem with identifying fraudulent clicks:• Was the click generated “artificially” or not and what does exactly “artificial” mean In

this case?

Page 13: CLICK FRAUD Alexander Tuzhilin

Click Quality Team

• The goal of the Click Quality Team is to identify all invalid clicks regardless of its nature and origin and make sure advertisers do not pay for these invalid clicks

Page 14: CLICK FRAUD Alexander Tuzhilin

Operational Definitions of Invalid Clicks

• Anomaly-based (or Deviation-from-the-norm-based): doesn’t look at what defines an invalid click, but rather what defines a “normal” click. Therefore, invalid clicks are those that significantly deviate from the established norms.

• Rule-based: a specified set of rules identifying invalid clicking activities; these experts define what valid and invalid are.

• The main challenge with this approach is to demonstrate that these conditions are “reasonable.”

• Operational Definitions a double edged sword?• They cannot be fully released to the general public because

unethical users will take advantage. However, if the public doesn’t know, how do advertisers know exactly what they are being charged for?

Page 15: CLICK FRAUD Alexander Tuzhilin

Conclusions about Definitions of Invalid Clicks

The Fundament Problem: the Cost per Click model is inherently vulnerable to click fraud, making it impossible to solve.

Possible solutions?

The “trust us” approach

Third Party Auditors