References
- Agostini, J. M. (1961). How to estimate unduplicated audiences. Journal of Advertising Research, 1(3), 11–14.
- Barwise, P. (1995). Good empirical generalizations. Marketing Science, 14(3), G29–G35. https://doi.org/10.1287/mksc.14.3.G29
- Beal, V. (2002). How has uk television viewing behaviour changed since the 1980s? Insights for the australian market [ Paper presentation]. Australian and New Zealand marketing academy conference, Melbourne.
- Beal, V., Hartnett, N., & Collins, M. (2011). Quantifying freeview’s effect on tv advertising campaign delivery in australia [ Paper presentation]. ANZMAC, Perth.
- Berkovich, P., & Wood, L. (2016). Using single-sourced data to measure advertising effectiveness. Nielsen Journal of Measurement, 1(2), 1–11. https://www.nielsen.com/us/en/insights/report/2016/using-single-source-data-to-measure-advertising-effectiveness/
- Boyd, M. M., & Leckenby, J. D. (1985). Random duplication in reach/frequency estimation. Current Issues and Research in Advertising, 8(1), 95–114. https://doi.org/10.1080/01633392.1985.10505375
- Caffyn, J. M., & Sagovsky, M. (1963). Net audiences of British newspapers: A comparison of Agostini and Sainsbury methods. Journal of Advertising Research, 3(1), 21–25.
- Caruso, W., Corsi, A. M., Bogolovema, S., Cohen, J., Sharp, A., Lockshin, L., & Tan, P. J. (2018). The real estate value of supermarket endcaps: Why location in-store matters. Journal of Advertising Research, 58(2), 177–188. https://doi.org/10.2501/JAR-2018-026
- Cha, J. (2013). Do online video platforms cannibalize television? How viewers are moving from old screens to new ones. Journal of Advertising Research, 53(1), 71–82. https://doi.org/10.2501/JAR-53-1-071-082
- Choong-Ryun, K. (2002). Identifying viewer segments for television programs. Journal of Advertising Research, 42(1), 51–66. https://doi.org/10.2501/JAR-42-1-51-66
- Claycamp, H. J., & McClelland, C. W. (1966). Estimating reach and the magic of k1. Journal of Advertising, 8(2), 44–51.
- Danaher, P. J. (1988). A log-linear model for predicting magazine audiences. Journal of Marketing Research, 25(4), 356–362. https://doi.org/10.1177/002224378802500403
- Danaher, P. J. (1989). An approximate log-linear model for predicting magazine audiences. Journal of Marketing Research, 26(4), 473–479. https://doi.org/10.1177/002224378902600409
- Danaher, P. J. (1991). A canonical expansion model for mulivariate media exposure distributions: A generalization of the “duplication of viewing law”. Journal of Marketing Reserch, 28(August), 361–367. https://doi.org/10.1177/002224379102800311
- Danaher, P. J. (1992). A markov-chain model for multivariate magazine-exposure distributions. Journal of Business and Economic Statistics, 10(4), 401–407. https://doi.org/10.1080/07350015.1992.10509915
- Danaher, P. J. (2007). Modeling page views across multiple websites with an application to internet reach and frequency prediction. Marketing Science, 26(3), 422–437. https://doi.org/10.1287/mksc.1060.0226
- Danaher, P. J., & Dagger, T. S. (2013). Comparing the relative effectiveness of advertising channels: A case study of a multimedia blitz campaign. Journal of Marketing Research, 50(4), 517–534. https://doi.org/10.1509/jmr.12.0241
- Dawes, J., Kennedy, R., Green, K., & Sharp, B. (2018). Forecasting advertising and media effects on sales: Econometrics and alternatives. International Journal of Marketing Research, 60(6), 611–620. https://doi.org/10.1177/1470785318782871
- Dickson, V., Tanusondjaja, A., & Nguyen, C. (2016). Should marketers advertise in a targeted magazine or television program? Comparing user profiles across competing media vehicles. ANZMAC (pp. 1–10). Auckland, New Zealand.
- Ehrenberg, A., Barnard, N. R., & Sharp, B. (2000). Decision models or descriptive models? International Journal of Research in Marketing, 17(2–3), 147–158. https://doi.org/10.1016/S0167-8116(00)00018-5
- Ehrenberg, A., & Goodhardt, G. (1969). Practical applications of the duplication of viewing law. Journal of the Market Research Society, 11(1), 6–24.
- Enoch, G., & Johnson, K. (2010). Cracking the cross-media code: How to use single-source measures to examine media cannibalization and convergence. Journal of Advertising Research, 50(2), 125–136. https://doi.org/10.2501/S0021849910091294
- Ephron, E. (1998). The case of the near-sighted bombardier: A general inquiry into the value of targeting in tv [ Paper presentation], Amsterdam, The Netherlands. ESOMAR.
- Ephron, E., & Heath, M. (2001). Once may not be enough, but it’s the best we can do. Admap, 36(10), 44–46. https://www.warc.com/content/article/admap/once-may-not-be-enough-but-its-the-best-we-can-do/71576
- Greene, J. D. (1970). Personal media probabilities. Journal of Advertising Research, 10(5), 12–18.
- Hammett, E. (2019, June 17). P&G puts focus on reach: It’s a more important measure than spend. Marketing Week. https://www.marketingweek.com/pg-reach-ad-spend/
- Hammond, K., Ehrenberg, A., & Goodhardt, G. J. (1996). Market segmentation for competitive brands. European Journal of Marketing, 30(12), 39–49. https://doi.org/10.1108/03090569610153291
- Headen, R. S., Klompmaker, J. E., & Rust, R. T. (1979). The duplication of viewing law and television media schedule evaluation. Journal of Marketing Research, 16(3), 333–340. https://doi.org/10.1177/002224377901600305
- Headen, R. S., Klompmaker, J. E., & Teel, J. E. J. (1977). Predicting audience exposure to spot tv advertising schedules. Journal of Marketing Research, 14(1), 1–9. https://doi.org/10.1177/002224377701400101
- Hofmans, P. (1966). Measuring the cumulative net coverage of any combination of media. Journal of Marketing Research, 3(3), 269–278. https://doi.org/10.1177/002224376600300307
- Huang, C.-Y., & Lin, C.-S. (2006). Modeling the audience’s banner ad exposure for internet advertising planning. Journal of Advertising, 35(2), 123–136. https://doi.org/10.1080/00913367.2006.10639236
- Ieva, M., Ziliani, C., Gázquez-Abad, J. C., & D’Attoma, I. (2018). Online versus offline promotional communication: Evaluating the effect of medium on customer response. Journal of Advertising Research, 58(3), 338–348. https://doi.org/10.2501/JAR-2017-040
- Jones, J. P. (1995). When ads work: New proof that advertising triggers sales. Lexington Books.
- Jones, J. P. (2006). When ads work: New proof that advertising triggers sales. M.E. Sharpe, Inc.
- Kite, J. (2001, June). Mixed media campaigns: Can we fix it? Yes we can! Admap, 48–50.
- Klein, C., & Wood, L. (2013). Cross platform sales impact: Cracking the code on single source. https://pdfs.semanticscholar.org/a4cf/17b6ce891b62fe0cd0a50fa3d809a932a9c1.pdf?_ga=2.153532920.1336311661.1594945518-120425923.1594945518
- Koslow, S., & Tellis, G. J. (2011). What scanner-panel data tell us about advertising: A detective story with a dark twist. Journal of Advertising Research, 51(1), 87–100. https://doi.org/10.2501/JAR-51-1-087-100
- Labsag. (2016). Media strategy and exposure estimation.
- Leckenby, J. D., & Boyd, M. M. (1984). How media directors view reach/frequency model evaluation standards. Journal of Advertising Research, 24(5), 43–52.
- Leckenby, J. D., & Kim, H. (1994). How media directors view research/frequency estimation: Now and a decade ago. Journal of Advertising Research, 34(5), 9–24. https://www.warc.com/content/article/A6302_How_Media_Directors_View_Research2f_Frequency_Estimation_Now_and_A_Decade_Ago/6302
- Leckenby, J. D., & Kishi, S. (1982). Performance of four exposure distribution models. Journal of Advertising Research, 22, 35–46.
- Lees, G., & Wright, M. (2013). Does the duplication of viewing law apply to radio listening? European Journal of Marketing, 47(3/4), 674–685. https://doi.org/10.1108/03090561311297535
- Longman, K. A. (1997, July-August 4). If not effective frequency, then what? Journal of Advertising Research, 37. https://www.warc.com/SubscriberContent/article/jar/if_not_effective_frequency_then_what/9062
- Ludwichowska, G., Romaniuk, J., & Nenycz-Thiel, M. (2017). Systematic response errors in self-reported category buying frequencies. European Journal of Marketing, 51(7/8), 1440–1459. https://doi.org/10.1108/EJM-07-2016-0408
- McDonald, C. (1970, November). What is the short-term effect of advertising? Admap, 350–366.
- McDonald, C. (2004). Advertising reach and frequency. Admap, (452), 13–14.
- Mehta, N., Chen, X., & Narasimhan, O. (2008). Informing, transforming, and persuading: Disentangling the multiple effects of advertising on brand choice decisions. Marketing Science, 27(3), 334–355. https://doi.org/10.1287/mksc.1070.0310
- Metheringham, R. A. (1964). Measuring the net cumulative coverage of a print campaign. Journal of Advertising Research, 4(4), 23–28.
- Nelson-Field, K., & Riebe, E. (2011). The impact of media fragmentation on audience targeting: An empirical generalisation approach. Journal of Marketing Communications, 17(1), 51–67. https://doi.org/10.1080/13527266.2010.484573
- Nielsen. (2019). The nielsen total audience report q1 2019.
- Nikkei Advertising Research Institute. (2009). The Japanese cross-media launch campaign of the Toyota crown.
- Norwood, F. B., & Lusk, J. L. (2011). Social desirability bias in real, hypothetical, and inferred valuation experiments. American Journal of Agricultural Economics, 93(2), 528–534. https://doi.org/10.1093/ajae/aaq142
- Out of Home Advertising Association of America. (2019). Ooh growth continues amid traditional media declines.
- Reeves, R. (1961). Reality in advertising. Knopf, Alfred A Inc.
- Rideout, V. (2016). Measuring time spent with media: The common sense census of media use by us 8-to 18-year-olds. Journal of Children and Media, 10(1), 138–144. https://doi.org/10.1080/17482798.2016.1129808
- Roberts, A. (1999, February). Recency, frequency and the sales effects of TV advertising. Admap, 40–44.
- Romaniuk, J., Beal, V., & Uncles, M. (2013). Achieving reach in a multi-media environment: How a marketer’s first step provides the direction for the second. Journal of Advertising Research, 53(2), 221–230. https://doi.org/10.2501/JAR-53-2-221-230
- Roncallo-Dow, S., & Arango-Forero, G. (2017). Introducing three dimensions of audience fragmentation. Sign and Thought, 36(70), 74–90. https://doi.org/10.11144/Javeriana.syp36-70.idaf
- Roy Morgan. (2016). How we collect and process single source data in Australia.
- Roy Morgan. (2019). Web audience measure: Shaping the future for australian internet users. Roy Morgan. http://www.roymorgan.com/services/online-research/wam
- Royne, M. B. (2018). Why we need more replication studies to keep empirical knowledge in check: How reliable is truth in advertising research? Journal of Advertising Research, 58(1), 3–7. https://doi.org/10.2501/JAR-2018-007
- Sharp, B., Newstead, K., Beal, V., Tanusondjaja, A., & Kennedy, R. (2014). Ehrenberg-bass institute key media principles. Australia, U. O. S.
- Sissors, J. Z. & Baron, R. B. (2002). Advertising media planning. McGraw-HIll.
- Soong, R., & De Montigny, M. (2002, June). The contribution of magazines in mixed tv-print schedules [ Paper presentation]. ESOMAR, print audience measurement, Cannes.
- Southgate, D. (2017). The emergence of generation z and its impact in advertising. Journal of Advertising Research, 57(2), 227–235. https://doi.org/10.2501/JAR-2017-028
- Statista. (2017). Daily time spent with select media in australia from 2007 to 2013 (in hours). https://www.statista.com/statistics/361207/time-spent-media-australia/
- Taylor, J., Kennedy, R., McDonald, C., Larguinat, L., El Ouarzazi, Y., & Haddad, N. (2013). Is the multi-platform whole more powerful than its separate parts? Measuring the sales effects of cross-media advertising. Journal of Advertising Research, 53(2), 200–211. https://doi.org/10.2501/JAR-53-2-200-211
- Taylor, J., Kennedy, R., & Sharp, B. (2009). Is once really enough? Making generalizations about advertising’s convex sales response function. Journal of Advertising Research, 49(2), 198–200. https://doi.org/10.2501/S002184990909028X
- Think Box. (2015). The truth about youth: Media and advertising.
- Uncles, M. D., & Kwok, S. (2013). Designing research with in-built differentiated replication. Journal of Business Research, 66(9), 1398–1405. https://doi.org/10.1016/j.jbusres.2012.05.005
- Voorveld, H. A. M., Smit, E. G., Neijens, P. C., & Bronner, A. E. F. (2016). Consumers’ cross-channel use in online and offline purchases. Journal of Advertising Research, 56(4), 385–400. https://doi.org/10.2501/JAR-2016-044
- Webster, J. G., & Ksiazek, T. B. (2012). The dynamics of audience fragmentation: Public attention in an age of digital media. Journal of Communication, 62(1), 39–56. https://doi.org/10.1111/j.1460-2466.2011.01616.x
- Wells, W., Spence-Stone, R., Crawford, R., Moriarty, S., & Mitchell, N. (2011). Media strategy, planning and buying, advertising: Principles and practice. Pearson Australia.
- White, R. (2007, May). Managing seasonality of communications. Warc Best Practice.
- Winchester, M., & Lees, G. (2013). Do radio stations in new zealand target successfully? Australasian Marketing Journal, 21(1), 52–58. https://doi.org/10.1016/j.ausmj.2012.08.002
- Winchester, M., & Lees, G. (2016). An investigation of the success of targeting newspapers and efficiency of advertising in ireland. Journal of Promotion Management, 22(5), 620–636. https://doi.org/10.1080/10496491.2016.1185490
- Wind, J., & Sharp, B. (2009). Advertising empirical generalizations: Implications for research and action. Journal of Advertising Research, 49(2), 246–252. https://doi.org/10.2501/S0021849909090369
- Wood, L. (2009). Short-term effects of advertising: Some well-established empirical law-like patterns. Journal of Advertising Research, 49(2), 186–192. https://doi.org/10.2501/S0021849909090266
- Wood, L. (2015, February). Marketing attribution: TV and online video measurement for a beverage brand. Admap, 36–38.
- Wood, L., & Gloecker, D. C. (2007). Project apollo: Consumer centric insights - The dawn of a new era of advertising research. ESOMAR (pp. 423–443). Dublin: ESOMAR.
- Wood, L., & Poltrack, D. (2015). Measuring the long-term effects of television advertising: Nielsen-cbs study uses single-source data to reassess the “two-times” multiplier. Journal of Advertising Research, 55(2), 123–131. https://doi.org/10.2501/JAR-55-2-123-131