Turner Blazes a Trail for Audience Targeting on Television with Operations Research and Advanced Analytics

References

• Araman V, Popescu I (2010) Media revenue management with audience uncertainty: Balancing upfront and spot market sales. Manufacturing Service Oper. Management 2(12):190–212.Link, Google Scholar
• Aversano D (2017) Stop the insanity: Why TV audience targeting matters right now. Adage (October 16), http://adage.com/article/turner-ignite/stop-insanity-tv-audience-targeting-matters/310773/.Google Scholar
• Bai R, Xie J (2006) Heuristic algorithms for simultaneously accepting and scheduling advertisements on broadcast television. J. Inform. Comput. Sci. 1(4):245–251.Google Scholar
• Bates D, Mächler M, Bolker B, Walker S (2015) Fitting linear mixed-effects models using lme4. J. Statist. Software 67(1):1–48.Google Scholar
• Bertsimas D, Tsitsiklis J (1997) Introduction to Linear Optimization (Athena Scientific, Belmont, MA).Google Scholar
• Bollapragada S, Garbiras M (2004) Scheduling commercials on broadcast television. Oper. Res. 52(3):337–345.Link, Google Scholar
• Bollapragada S, Mallik S (2007) Managing on-air ad inventory in broadcast television. IIE Trans. 40(12):1107–1123.Google Scholar
• Bollapragada S, Bussieck M, Mallik S (2004) Scheduling commercial videotapes in broadcast television. Oper. Res. 52(5):679–689.Link, Google Scholar
• Bollapragada S, Cheng H, Phillips M, Scholes M, Gibbs T, Humphreville M (2002) NBC’s optimization systems increase its revenues and productivity. Interfaces 32(1):47–60.Link, Google Scholar
• Brusco MJ (2008) Scheduling advertising slots for television. J. Oper. Res. Soc. 59(10):1363–1372.Google Scholar
• Carbajal JA, Chaar W (2017) Turner optimizes the allocation of audience deficiency units. Interfaces. 47(6):518–536.Link, Google Scholar
• CISION (2011) Bloomberg selects Invision, Inc.’s dealmaker crossroad system. PR Newswire (December 13), https://www.prnewswire.com/news-releases/bloomberg-selects-invision-incs-dealmaker-crossroad-system-135506633.html.Google Scholar
• Colman D (2013) Watch the first commercial ever shown on American TV, 1941. Open Culture (August 2), http://www.openculture.com/2013/08/watch-the-first-commercial-ever-shown-on-american-tv-1941.html.Google Scholar
• Danaher P, Mawhinney D (2001) Optimizing television program schedules using choice modeling. J. Marketing Res. 38(3):298–312.Google Scholar
• Danaher PJ, Dagger TS (2012) Using a nested logit model to forecast television ratings. Internat. J. Forecast. 28(3):607–622.Google Scholar
• Danaher PJ, Dagger TS, Smith MS (2011) Forecasting television ratings. Internat. J. Forecast. 27(4):1215–1240.Google Scholar
• D’Orazio M, Di Zio M, Scanu M (2019) Statistical matching of data from complex sample surveys. Working paper. Available at: https://www.researchgate.net/publication/266889507_Statistical_matching_of_data_from_complex_sample_surveys.Google Scholar
• Encyclopedia Britannica (2018) A.C. Nielsen. Retrieved February 1, 2018, https://www.britannica.com/biography/A-C-Nielsen.Google Scholar
• Gaur DR, Krishnamurti R, Kohli R (2009) Conflict resolution in the scheduling of television commercials. Oper. Res. 57(5):1098–1105.Link, Google Scholar
• Gelman A, Hill J (2006) Data Analysis Using Regression and Multilevel/Hierarchical Models (Cambridge University Press, New York).Google Scholar
• Gensch D, Shaman P (1980) Models of competitive television ratings. J. Marketing Res. 17(3):307–315.Google Scholar
• Giallombardo G, Jiang H, Miglionico G (2016) New formulations for the conflict resolution problem in the scheduling of television commercials. Oper. Res. 64(4):838–848.Link, Google Scholar
• Horen J (1980) Scheduling of network television programs. Management Sci. 26(4):354–370.Link, Google Scholar
• Kimms A, Muller-Bungart M (2007) Revenue management for broadcasting commercials: The channel’s problem of selecting and scheduling the advertisements to be aired. Internat. J. Revenue Management 1(1):28–44.Google Scholar
• Meyer D, Hyndman RJ (2006) The accuracy of television network rating forecasts: The effects of data aggregation and alternative models. Model Assisted Statist. Appl. 1(3):147–155.Google Scholar
• Nielsen (2009) Introduction to Nielsen data fusion. Retrieved February 1, 2018, http://www.nielsen.com/content/dam/corporate/us/en/docs/solutions/Nielsen-Introduction-to-Data-Fusion.pdf.Google Scholar
• Nielsen (2017) TV ratings. Retrieved February 1, 2018, http://www.nielsen.com/us/en/solutions/measurement/television.html.Google Scholar
• Pereira PA, Fontes FA, Fontes DB (2008) A decision support system for planning promotion time slots. Kalcsics J, Nickel S, eds. Operations Research Proceedings 2007 (Springer, Berlin), 147–152.Google Scholar
• Popescu D, Crama P (2015) Ad revenue optimization in live broadcasting. Management Sci. 62(4):1145–1164.Link, Google Scholar
• Popescu D, Seshadri S (2016) Managing revenue from television advertising sales. Working paper, INSEAD, New York.Google Scholar
• Quality Logo Products (2018) History of TV ads. Retrieved February 1, 2018, https://www.qualitylogoproducts.com/promo-university/history-of-tv-ads.html.Google Scholar
• Reddy S, Aronson J, Stam A (1998) SPOT: Scheduling programs optimally for television. Management Sci. 44(1):83–102.Link, Google Scholar
• Slefo G (2017) Desktop and mobile ad revenue surpasses tv for the first time. Adage (April 26), http://adage.com/article/digital/digital-ad-revenue-surpasses-tv-desktop-iab/308808/.Google Scholar
• Spangler T (2010) Invision to resell Turner’s crossroad traffic system. Multichannel (November 5), https://www.multichannel.com/news/invision-resell-turners-crossroad-traffic-system-291051.Google Scholar
• Stephens M (2018) History of television. Retrieved February 1, 2018, https://www.nyu.edu/classes/stephens/History%20of%20Television%20page.htm.Google Scholar
• van der Putten P, Kok JN, Gupta A (2002) Data fusion through statistical matching. Working paper, MIT Sloan, Cambridge, MA.Google Scholar
• Williams HP (2013) Model Building in Mathematical Programming (Wiley, West Sussex, UK).Google Scholar
• Zhang X (2006) Mathematical models for the television advertising allocation problem. Internat. J. Oper. Res. 1(3):302–322.Google Scholar