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Marketing Science News, September 1, 2016 Press Release Accepted Papers Call for Papers: Special Issues Agenda for MSFTC Conference Press Release Consumers may search online for 30 days, but they buy close to what they searched and found on the first day CATONSVILLE, MD, September 1, 2016 – Given the ease of online search, consumers can explore and discover hundreds of available items in any category. Retailers and advertisers are keen to influence the search and final purchase through better product recommendations and targeted advertising. A forthcoming article in the INFORMS journal Marketing Science studies online search and purchase behavior of consumers in the digital camera category and finds that even though consumers may search for extended periods of time, what they purchase tends to be remarkably close to items they searched and found in their very first search. The study conducted by Bart Bronnenberg of Tilburg University, Jun Kim of the Hong Kong University of Science and Technology, and Carl Mela of Duke University combine detailed consumer online browsing and purchase data for digital cameras from the online measurement firm comScore, with scraped camera product pages from the three largest online retailers (Amazon, Best Buy, and Walmart) to uncover a variety of insights about online consumer search behavior. From the browsing and purchase history of over two million consumers, they used a sample of more than 1,000 digital camera purchases with full browsing histories over a threemonth period. “People differ in their search behavior a lot; some make up their mind right away but others search for long periods—often up to a month and review many products.” said Mela. The study finds that about 25 percent of consumers search and purchase in just one online session, the average purchase takes much longer – around 15 days and over six sessions. The vast majority of purchases happen in under a month. Further, about 40 percent of consumers search only one brand and 20 percent only one model, while the average consumer will search about three brands and six models. For marketers, a long period of search can be a great opportunity to influence the exploration and discovery of new products during search and purchase. But as Bronnenberg notes, “What surprised us was that consumers don’t explore anywhere close to full range of products and attributes in the category. The final product they purchase is very close in terms of the attributes to the products they discovered on the first day.” This suggests that consumers have a rough idea of the quality and type of features they want as they begin search. The search helps them merely to refine the right combination of features within the narrow range of features of the products they found on the first day. On first glance, this finding might mean that retailers and advertisers can do little to influence the final purchase. But Kim cautions that would be the wrong conclusion. He notes, “In fact, the exact model with the right combination of features that the consumer will ultimately purchase can still be influenced up until the moment of purchase. The fact that what people buy is close to what they initially found means that ad targeting and product recommendations can use this information effectively and recommend close variants of what the consumer initially searched and found.” Concludes Mela: “Overall, we think the whole exploration and discovery angle when searching for online purchases may be overstated,” but then cautions that “it is also possible, that the limited exploration we find may be due to widespread availability of online reviews for digital cameras.” Reviews may have informed the consumers exploration and discovery and the initial search outside of the search and purchase behavior that the study observes. Discovery may then be still important in categories where such reviews are less available. To cite this study: Bart J. Bronnenberg, Jun B. Kim, and Carl F. Mela (2016). “Zooming in on Choice: How do Consumers Search for Cameras Online?” forthcoming at Marketing Science. http://pubsonline.informs.org/doi/abs/10.1287/mksc.2016.0977 About INFORMS With nearly 12,000 members from across the globe, INFORMS is the leading international association for professionals in operations research and analytics. More information about INFORMS is available at www.informs.org or @informs. Bart Bronnenberg Tilburg University Jun B. Kim HKUST Carl Mela Duke University *********************************************************************** The press release is an attempt to make Marketing Science more accessible to the public through general media. For each issue, the Editor-In-Chief of Marketing Science, currently K. Sudhir, selects a couple of papers for the press release. He then works with the authors, Gerry Tellis, a member of the Marketing Science Media Committee and INFORMS to prepare the press release. INFORMS issues the press release. *********************************************************************** Accepted Papers Below is the list of papers accepted during the period from July 16 to August 31, 2016: “Dyadic Compromise Effect,” by Lin Bao Boldt and Neeraj Arora. “Behavioral Price Discrimination in the Presence of Switching Costs,” by Seethu Seetharaman, Koray Cosguner, and Tat Chan. “Competition in Corruptible Markets,” by Shubhranshu Ranjan Singh. “Ten Million Readers Can’t Be Wrong!”, or Can They? On the Role of Information about Adoption Stock in New Product Trial,” by Coby Morvinsky, On Amir, and Eitan Muller. “Match Your Own Price? Self-Matching as a Retailer's Multichannel Pricing Strategy,” by Pavel Kireyev, Vineet Kumar, and Elie Ofek. “Promotion Spillovers: Drug Detailing in Combination Therapy,” by Hongju Liu, Qiang Liu, and Pradeep K. Chintagunta. “Signaling Virtue: Charitable Behavior under Consumer Elective Pricing,” by Minah Jung, Leif D. Nelson, Ayelet Gneezy, and Uri Gneezy. “Entry of Copycats of Luxury Brands,” by Sarah Yini Gao, Wei Shi Lim, and Christopher Tang. “A Cross-Cohort Changepoint Model for Customer-Base Analysis,” by Arun Gopalakrishnan, Eric T. Bradlow, and Peter Fader. “First-Mover Advantage through Distribution: A Decomposition Approach,” by Mitsukuni Nishida. Here is the link to the abstracts: https://yale.box.com/s/dshqk3vd2pu8x42s9pit9vwxm51kdb5j CFP for Four Special Issues of Marketing Science Marketing Science is now calling for submissions to four special issues coming up in the areas of Mobile Technologies, Health, Consumer Protection and Field Experiments. We also have two associated conferences for health and consumer protection. Mobile Technologies: http://pubsonline.informs.org/page/mksc/mobiletechnologies Health: http://pubsonline.informs.org/page/mksc/health Consumer Protection: http://pubsonline.informs.org/page/mksc/consumerprotection Field Experiments: http://pubsonline.informs.org/page/mksc/fieldexperiments Agenda for the Marketing Science-FTC Conference on Marketing and Consumer Protection September 16, 2016 at the Federal Trade Commission, Washington, DC Thank you for your interest in the Marketing Science-Federal Trade Commission Economic Conference on Marketing and Consumer Protection which will be held on September 16, 2016. You may find the agenda for the conference here: https://yale.app.box.com/s/linuvqs9bxkj34x4ii18zckom7qbj7cu. If you are aware of any colleagues or friends who may be interested in attending the conference, please share with them. About ISMS Marketing Science News *********************************************************************** This ISMS News is approved by Marketing Science Editor-in-Chief, currently K. Sudhir. The VP for Communications of ISMS, currently Xueming Luo, sends the news out. *********************************************************************** To unsubscribe and stop receiving ISMS Newsletter, please click here