Cost-per-click pricing for display advertising

Manufacturing and Service Operations Management

Volumn 16, Issue 4, 2014, Pages 482-497

  Najafi Asadolahi, Sami ^a   Fridgeirsdottir, Kristin ^b  

^a SANTA CLARA UNIVERSITY   (United States)

^b LONDON BUSINESS SCHOOL   (United Kingdom)

Author keywords

Cost per click; Markov chains; Online advertising; Pricing; Queueing systems

Indexed keywords

ECONOMICS; MARKETING; MARKOV CHAINS; ONLINE SYSTEMS; QUEUEING NETWORKS; WEBSITES;

BEHAVIOR OF VISITORS; CLICK-THROUGH RATE; CLOSED FORM SOLUTIONS; DISPLAY ADVERTISINGS; ONLINE ADVERTISING; QUEUEING SYSTEM; SERVICE CHANNELS; STEADY STATE PROBABILITIES;

COSTS;

EID: 84908547996     PISSN: 15234614     EISSN: 15265498     Source Type: Journal    
DOI: 10.1287/msom.2014.0491     Document Type: Article

References (51)

1. Akella R, Broder A, Josifovski V (2009) Introduction to computational advertising. Course Lectures, University of California, Santa Cruz.
2. Ala ei S, Arcaute E, Khuller S, Ma W, Malekian A, Tomlin J (2009) Online allocation of display advertisements subject to advanced sales contracts. Proc. Third Internat. Workshop on Data Mining and Audience Intelligence for Advertising (ACM, New York), 69-77.
3. Anandan R (2012) 3 predictions for display ads this year. Bus. Standard (March 7), http://www.business-standard.com/article/management/3-preditions-for-display-Ads-this-year-112030700006-1.html.
4. Araman VF, Fridgeirsdottir K (2011) A uniform allocation mechanism and cost-per-impression pricing for online advertising. Working paper, American University of Beirut, Beirut, Lebanon.
5. Araman VF, Pope scu I (2010) Media revenue management with audience uncertainty: Balancing upfront and spot market sales. Manufacturing Service Oper. Management 12(2):190-212.
6. Ata B (2005) Dynamic power control in a wireless static channel subject to a quality-of-service constraint. Oper. Res. 53(5):842-851.
7. Ata B, Shneorson S (2006) Dynamic control of an m=m=1 service system with adjustable arrival and service rates. Management Sci. 52(11):1778-1791.
8. Balseiro S, Feldman J, Mirrokni V, Muthukrishnan S (2011) Yield optimization of display advertising with ad exchange. Proc. 12th ACM Conf. on Electronic Commerce (ACM, New York), 27-28.
9. Balseiro S, Besbes O, Weintraub GY (2013) Auctions for online display advertising exchanges: Approximations and design. Proc. 14th ACM Conf. on Electronic Commerce (ACM, New York), 53-54.
10. Baye MR, Morgan J (2000) A simple model of advertising and subscription fees. Econom. Lett. 69(3):345-351.
11. Ben L (2013) Facebook CPM vs CPC vs CPA inventory. Accessed March 15, 2014, http://www.blackhatworld.com/.
12. Cao J, Cleveland WS, Lin D, Sun DX (2003) Internet traffic tends toward Poisson and independent as the load increases. Nonlinear Estimation and Classification (Springer, New York), 83-109.
13. Celis LE, Lewis G, Mobius MM, Nazerzadeh H (2012) Buy-it-now or take-A-chance: Price discrimination through randomized auctions. NBER Working Paper w18590, National Bureau of Economic Rese arch, Cambridge, MA.
14. Chen YJ (2011) Optimal dynamic auctions for display advertising. Working paper, University of California, Berkeley, Berkeley.
15. Chickering DM, Heckerman D (2003) T argeted advertising on the web with inventory management . Interfaces 33(5):71-77.
16. Ciocan DF, Farias V (2012) Model predictive control for dynamic resource allocation. Math. Oper. Res. 37(3):501-525.
17. Danaher PJ (2007) Modeling page views across multiple websites with an application to internet reach and frequency prediction. Marketing Sci. 26(3):422-437.
18. Edelman B, Ostrovsky M, Schwar z M (2007) Internet advertising and the generalized second-price auction: Selling billions of dollars worth of keywords. Amer. Econom. Rev. 97(1):242-259.
19. Fjell K (2009) Online advertising: Pay-per-view versus pay-per-click-A comment. J. Revenue and Pricing Management 8(2/3):200-206.
20. Fredricksen C 2011) Online advertising market poised to grow 20% in 2011. eMarketer (June 8 http://emarketer.com/newsroom/index.php/online-Advertising-market-poised-grow-20-2011/.
21. Fridgeirsdottir K, Najafi-Asadolahi S (2013) Cost-per-impression pricing for display advertising. Working paper, London Business School, London.
22. George JM, Harr ison JM (2001) Dynamic control of a queue with adjustable service rate. Oper. Res. 49(5):720-731.
23. Ghosh A, McAfee P, Papineni K, Vassilvitskii S (2009) Bidding for representative allocations fo r display advertising. Internet and Network Economics (Springer, Berlin), 208-219.
24. Gomes R, Immorlica N, Markakis E (2009) Externalities in keyword auctions: An empirical and theoretical assessment. Internet and Network Economics (Springer, Berlin), 172-183.
25. Gross D (1975) Sensitivity of queueing models to the assumption of exponentiality. Naval Res. Logist. Quart. 22(2):271-287.
26. Gros s D, Harris CM (1998) Fundamentals of Queueing Theory (Wiley, New York).
27. Hobokook K (2013) Fb ads-CTR got killed after switch. Warrior Forum (blog) (May 5), http://www.warriorforum.com/.
28. Hoffman D L, Novak TP (2000) Advertising pricing models for the World Wide Web. Internet Publishing and Beyond: The Economics of Digital Information and Intellectual Property (MIT Press, Cambridge, MA).
29. Interactive Advertising Bureau (2011) IAB Internet advertising revenue report: 2011 first six months results. Report, IAB and Price WaterhouseCoopers. http://www.iab.net/media/file/IAB-HY-2011-Report-Final.pdf.
30. Jagerman D L, Bhaskar S (1991) The g=m=1 processor-sharing queue and its heavy traffic analysis. Comm. Statist. Stochastic Models 7(3):379-395.
31. Jeziorski P, Segal IR (2009) What makes them click: Empirical analysis of consumer demand for search advertising. Working paper, Stanford University, Stanford, CA.
32. Jordan B (2011) The ultimate case study: Facebook CPC vs CPM bidding-Identical Facebook ads yield 0.177% vs 0.056% CTR. How? StackThatM oney (blog) (April 13), http://blog .stackthatmoney.com/2011/04/13/the-ultimate-case-study-facebook-cpc-vs-cpm-bidding/.
33. Kumar S, Sethi SP (2009) Dynamic pricing and advertising for web content providers. Eur. J. Oper. Res. 197(3):924-944.
34. Kumar S, Jacob VS, Sriskandarajah C (2006) Scheduling advertisements on a web page to maximize revenue. Eur. J. Oper. Res. 173(3):1067-1089.
35. LaGrange A (20 13) Why does the CTR drop when I change the bidding of my advert from CPC to CPM? Accessed February 20, 2014, https://www.facebook.com/help/community/question/?idD10151886726317577.
36. Lewis RA, Reiley DH (2011) Does retail advertising work? Measuring the effects of advertising on sales via a controlled experiment on Yahoo! CCP Working Paper 11-9, Centre for Competition Policy, Norwich, UK.
37. Mangani A (2004) Online advertising: Pay-per-view versus pay-perclick. J. Revenue Pricing Management 2(4):295-302.
38. McAfee P, Papineni P, Vassilvitskii S (2013) Maximally representative allocations for guaranteed delivery advertising campaigns. Rev. Econom. Design 17(2):83-94.
39. Muthukrishnan S (2009) Ad exchanges: Research issues. Leonardi S, ed. Internet and Network Economics, Lecture Notes in Computer Science, Vol. 5929 (Springer, Berlin), 1-12.
40. Peterson T (2011) Display ad spending to hit 200B, says Google VP. Direct Marketing News (June 9), http://www.dmnews.com/display-Ad-spending-to-hit-200b-says-google-vp/article/204870/.
41. Prasad A, Mahajan V, Bronnenbert B (2003) Advertising versus pay-per-view in electronic media. Internat. J. Res. Marketing 20(1): 13-30.
42. Puha AL,Stolyar AL,Williams RJ 2006 The fluid limit of an overloaded processor sharing queue. Math. Oper. Res. 31, 2, 316-350.
43. Quadlin S (2012) Is CPM bidding a waste of your money? PPC Hero (blog) (November 7), http://www.ppchero.com/is-cpm-bidding-A-waste-of-your-money/.
44. RileyPool (2010) Case study: Facebook ads-CPC versus CPM (2163.08 spent). (blog) (November 17), http://rileypool.com/ppc/case-study-facebook-Ads-cpc-versus-cpm-2163-08-spent.
45. Savin SV, Cohen MA, Gans N, Kata lan Z (2005) Capacity management in rental businesses with two customer bases. Oper. Res. 53(4): 617-631.
46. Talluri K, van Ryzin G (2004) The Theory and Practice of Revenue Management (Kluwer Academ ic Publishers, Norwell, MA).
47. Turner J, Scheller-Wolf A, Tayur S (2011) Scheduling of dynamic in-game advertising. Oper. Res. 59(1):1-16.
48. Van Mieghem JA (2000) Price and service discrimination in queuing systems: Incentive compatibility of Gc. scheduling. Management Sci. 46(9):1249-1267.
49. Vranica S (2013) Automated ad buying surges online. Wall Street Journal (October 13), http://online.wsj.com/.
50. Yang J, Vee E, Vassilvitskii S, Tomlin J, Shanmugasundaraml J, Anastasakos T, Kennedy O (2010) Inventory allocation for online graphica l display advertising. Technical report, Yahoo! Labs, Sunnyvale, CA.
51. Zwart AP, Boxma OJ (2000) Sojourn time asymptotics in the M=G=1 processor sharing queue. Queueing Systems 35(1-4):141-166.