IS Atlas
mksci·2012년 9월 21일

<b>Practice Prize Paper</b>—PROSAD: A Bidding Decision Support System for Profit Optimizing Search Engine Advertising

Bernd Skiera, Nadia Abou Nabout

Marketing Science

46
피인용
6.4
FWCI
9
IS/마케팅/OM 탑저널 피인용
22
IS/마케팅/OM 탑저널 참고문헌
01Abstract

This paper reports on a large-scale implementation of marketing science models to solve the bidding problem in search engine advertising. In cooperation with the online marketing agency SoQuero, we developed a fully automated bidding decision support system, PROSAD (PRofit Optimizing Search engine ADvertising; see http://www.prosad.de), and implemented it through the agency's bid management software. The PROSAD system maximizes an advertiser's profit per keyword without the need for human intervention. A closed-form solution for the optimized bid and a newly developed “costs-per-profit” heuristic enable advertisers to submit good bids even when there is significant noise in the data. A field experiment demonstrates that PROSAD can increase the return on investment by 21 percentage points and improve the yearly profit potential for SoQuero and its clients by €2.7 million.

02연구 흐름

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03비슷한 논문

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04이후 연구

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05선행 연구

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06서지 정보