The Race for Sponsored Links: Bidding Patterns for Search Advertising

نویسندگان

  • Zsolt Katona
  • Miklos Sarvary
چکیده

Paid placements on search engines reached sales of over $10 billion in the U.S. last year and represent the most rapidly growing form of online advertising today. In its classic form, a search engine sets up an auction for each search word in which competing web sites bid for their sponsored links to be displayed next to the search results. We model this advertising market focusing on two of its key characteristics: (i) the interaction between the list of search results and the list of sponsored links on the search page and, (ii) the inherent differences in click-through rates between sites. We find that both of these special aspects of search advertising have a significant effect on sites’ bidding behavior and the equilibrium prices of sponsored links. In three extensions, we also explore (i) heterogenous valuations across bidding sites, (ii) the endogenous choice of the number of sponsored links that the search engine sells, and (iii) a dynamic model where web sites’ bidding behavior is a function of their previous positions on the sponsored list. Our results shed light on the seemingly random order of sites on search engines’ list of sponsored links and their variation over time. They also provide normative insights for both buyers and sellers of search advertising.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Advertising Keyword Suggestion Using Relevance-Based Language Models from Wikipedia Rich Articles

When emerging technologies such as Search Engine Marketing (SEM) face tasks that require human level intelligence, it is inevitable to use the knowledge repositories to endow the machine with the breadth of knowledge available to humans. Keyword suggestion for search engine advertising is an important problem for sponsored search and SEM that requires a goldmine repository of knowledge. A recen...

متن کامل

Deep Reinforcement Learning for Sponsored Search Real-time Bidding

Bidding optimization is one of the most critical problems in online advertising. Sponsored search (SS) auction, due to the randomness of user query behavior and platform nature, usually adopts keyword-level bidding strategies. In contrast, the display advertising (DA), as a relatively simpler scenario for auction, has taken advantage of real-time bidding (RTB) to boost the performance for adver...

متن کامل

To Sponsor or Not to Sponsor: Sponsored Search Auctions with Organic Links

In 2010 sponsored search advertisements generated over $12 billion in revenue for search engines in the US market and accounted for 46% of online advertising revenue. A substantial portion of this revenue was generated by the sale of search keywords using an auction mechanism. We analyze a game-theoretic model to understand the interplay between organic and sponsored links in keyword auctions. ...

متن کامل

Buying and Selling Traffic: The Internet as an Advertising Medium

The Internet is rapidly growing as a marketing medium. This year online advertising expenditures will reach approximately $20 billion in the US alone. Two formats dominate online advertising: (i) Web sites buying advertising links from each other and (ii) search engines selling sponsored links on their results pages. The first part of the dissertation studies the former advertising model and in...

متن کامل

Optimal Reserve Price for the Generalized Second-price Auction in Sponsored Search Advertising

In sponsored search advertising advertisers bid ad links pertaining to a keyword from search engines. This paper presents a pricing model for sponsored search advertising in a dynamic framework. It focuses on the generalized second-price auction, which is widely used by major search engines including Google and Yahoo!. Unlike the assertion in the literature that the number of advertisers and th...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Marketing Science

دوره 29  شماره 

صفحات  -

تاریخ انتشار 2010