Abstract
This work explores marketing data development beginning with consumer panels and extending into today’s Big Data. Its intent is to overview how Big Data builds on the former and how each possesses uniqueness. For example, a key strength of consumer panel data is its ability to link consumer characteristics with purchase behavior, while Big Data and its lack of structure has concerns with consumer characteristic revelation, yet can provide strong consumer insights. Overall, the study overviews the potential, issues and future of Big Data in the context of marketing.
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References
ABI Research (2013) More than 30 billion devices will wirelessly connect to the internet of everything in 2020. Research Insights, https://www.abiresearch.com/press/more-than-30-billion-devices-will-wirelessly-conne, accessed 1 November 2014.
Allenby, G.M., Bradlow, E.T., George, E.I., Liechty, J. and Mc Culloch, R.E. (2014) Perspectives on Bayesian methods and big data. Customer Needs and Solutions 1 (3): 169–175.
Bass, F.M., Tigert, D.J. and Lonsdale, R.T. (1968) Market segmentation: Group versus individual behavior. Journal of Marketing Research 5 (3): 264–70.
Brown, G.H. (1953) Brand loyalty – Fact or fiction. Advertising Age 24 (4): 75–76.
Crotty, B. (2013) Big data: CRMS’s promised land. BBDO Proximity, http://www.slideshare.net/Briancrotty/bbdo-proximity-bigdata-may-2013, accessed 1 June 2014.
Davenport, T.H. (2013) Analytics 3.0. Harvard Business Review 91 (12): 64–72.
Davenport, T.H. (2014a) Big Data at Work, Cambridge, MA: Harvard Business School Publishing.
Davenport, T.H. (2014b) The analytics of things. Wall Street Journal 29 January, http://blogs.wsj.com/cio/2014/01/29/the-analytics-of-things/, accessed 1 November 2014.
Doyle, G. (2014) Computational linguistics and learning from Big Data. Paper presented at the Sharing What Works and Knowing Why: 25th Annual Advanced Research Techniques Forum; 23 October, Santa Fe, NM, American Marketing Association.
Ehrenberg, A.S.C. (1960) A study of some potential biases in the operation of a consumer panel. Applied Statistics 9 (1): 20–27.
Fix, J. (2014) Using text analysis of unstructured data to navigate a world without questions. Paper presented at the Sharing What Works and Knowing Why: 25th Annual Advanced Research Techniques Forum; 23 October, Santa Fe, NM, American Marketing Association.
Frank, R.E. (1968) Market segmentation research: Findings and implications. In: F.M. Bass, C.W. King and E.A. Pessemier (eds.) The Application of the Sciences in Marketing Management, New York: John Wiley and Sons, pp. 39–68.
Frank, R.E. and Strain, C.E. (1972) A segmentation research design using consumer panel data. Journal of Marketing Research 9 (4): 385–390.
Hoffman, D. (2014) Marketing to the consumer internet of things. Presented at the Immersion 2014 Conference; 19 September, Boston, MA, Marketing Science Institute.
Hu, Y., Du, R. and Damangir, S. (2014) Leveraging trends in online searches for product features in market response modeling. Paper presented at the Sharing What Works and Knowing Why: 25th Annual Advanced Research Techniques Forum; 25 October, Santa Fe, NM, American Marketing Association.
Kannan, P.K. (2014) Attribution modeling: State-of-the-art and beyond. Paper presented at the Sharing What Works and Knowing Why: 25th Annual Advanced Research Techniques Forum; 23 October, Santa Fe, NM, American Marketing Association.
Kolodny, L. (2014) How consumers are using big data. Wall Street Journal: Journal Report, Unleashing Innovation 24 March: R6.
Li, H.(A.) and Kannan, P.K. (2014) Attributing conversions in a multichannel online marketing experiment: An empirical model and a field experiment. Journal of Marketing Research 51 (1): 40–56.
Link, R. (2014) Marketing ROI measurement and big-ish data. Paper presented at the Sharing What Works and Knowing Why: 25th Annual Advanced Research Techniques Forum; 23 October, Santa Fe, NM, American Marketing Association.
Moon, Y. (2000) Interactive technologies and relationship marketing strategies. Harvard Business School Background Note. 9-599-101 Cambridge, MA: Harvard Business Publishing.
NCP (2014) National Consumer Panel: A Nielsen/IRI joint venture. NCP Home, http://ncppanel.com/content/ncp/ncphome.html, accessed 29 October 2014.
Nesterko, S.O., Garratt, M. and Cohen, S. (2014) Visualizations of model output via interactive dashboards. Paper presented at the Sharing What Works and Knowing Why: 25 th Annual Advanced Research Techniques Forum; 24 October, Santa Fe, NM, American Marketing Association.
Pflughoeft, K.A. (2014) Detecting customer experience web comments and their drivers of satisfaction. Paper presented at the Sharing What Works and Knowing Why: 25th Annual Advanced Research Techniques Forum; 23 October, Santa Fe, NM, American Marketing Association.
Rosenbush, S. and Totty, M. (2013) How big data is changing the whole equation for business. Wall Street Journal: Journal Report, Unleashing Innovation, Big Data 11 March: R1–R2.
Ryan, K. (2012) How to mine Nielsen and comScore measurement strengths for maximum performance.http://blog.adap.tv/2012/08/16/how-to-mine-nielsen-and-comscore-measurement–strengths…, The Video Wire, accessed on 3 November 2014.
Scott, S. (2014) Bayes and big data. Paper presented at the Sharing What Works and Knowing Why: 25th Annual Advanced Research Techniques Forum; 23 October, Santa Fe, NM, American Marketing Association.
Sudman, S. (1964) On the accuracy of recording of consumer panels: II. Journal of Marketing Research 1 (3): 69–83.
Survey Monkey (2014) Insights for better directions. Audience, https://www.surveymonkey.com/mp/lp/audience/insights-request/?utm_source=adwork, accessed on 29 October 2014.
Twedt, D.W. (1964) How important to marketing strategy is the heavy user? Journal of Marketing 28 (1): 71–72.
Van Auken, S. (1978) General versus product-specific life style segmentations. Journal of Advertising 7 (4): 31–35.
Wansink, B. and Sudman, S. (2002) Consumer Panels, Chicago, IL: American Marketing Association.
Weinberg, B.D., Davis, L. and Berger, P.D. (2013) Perspectives on big data. Journal of Marketing Analytics 1 (4): 187–201.
Wells, W.D. (1968) Backward segmentation. In: J. Arndt (ed.) Insights into Consumer Behavior, Boston, MA: Allyn and Bacon, pp. 85–100.
Wells, W.D. (1975) Psychographics: A critical review. Journal of Marketing Research 12 (2): 196–213.
Wells, W.D. and Tigert, D.J. (1971) Activities, interests, and opinions. Journal of Advertising Research 11 (4): 27–35.
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Van Auken, S. From consumer panels to big data: An overview on marketing data development. J Market Anal 3, 38–45 (2015). https://doi.org/10.1057/jma.2015.2
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DOI: https://doi.org/10.1057/jma.2015.2