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Insights from consumer interactions on a social networking site: Findings from six apparel retail brands

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Abstract

Consumer social interactions on a social networking site have been discussed in the literature as information sources on consumer negative voice, product market research, and trend forecasting. The present study contributes to this line of research by identifying insights that a retail brand can derive from consumer social interactions about a competing retail brand. Based on 2,573,620 consumer social interactions related to six apparel retailers on the social networking site Facebook, this study analyzes the fan number, brand posting and response behavior, and consumer activities. The number of fans correlates with retail sales and the number of stores. However, the fan number is not an indicator of (social) displeasure. Consumer activities such as commenting, liking, and sharing, provide significant indications of these situations. As posting and response behavior reflect central elements of brand strategies on social networking sites, this study proposes a framework for identifying these strategies and the positioning of competing brands. For the six apparel retail brands, we identified a prototypical representative for three of four social interaction strategies.

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Notes

  1. The fiscal year varies for all six companies. Sales are gross, except for Ernsting’s family and Zara who released net sales data.

References

  • Ansari, A., Koenigsberg, O., & Stahl, F. (2011). Modeling multiple relationships in social networks. Journal of Marketing Research, 48(4), 713–728.

    Article  Google Scholar 

  • Bae, S., & Lee, T. (2011). Product type and consumers’ perception of online consumer reviews. Electronic Markets, 21(4), 255–266.

    Article  Google Scholar 

  • Barnes, N. G. (2014). Social commerce emerges as big brands position themselves to turn “follows”, “likes” and “pins” into sales. American Journal of Management, 14(4), 11–18.

    Google Scholar 

  • Belot, H. (2014). Zara lawyers threaten Casey mother's home business. The Canberra Times Retrieved July 1, 2015 http://www.canberratimes.com.au/act-news/zara-lawyers-threaten-casey-mothers-home-business-20140423-373lf.html.

  • Berger, J., Sorensen, A. T., & Rasmussen, S. J. (2010). Positive effects of negative publicity: when negative reviews increase sales. Marketing Science, 29(5), 815–827.

    Article  Google Scholar 

  • Bitter, S., Grabner-Kräuter, S., & Breitenecker, R. J. (2014). Customer engagement behaviour in online social networks – the Facebook perspective. International Journal of Networking and Virtual Organisations, 14(1/2), 197–220.

    Article  Google Scholar 

  • Brodie, R. J., Hollebeek, L. D., Jurić, B., & Ilić, A. (2011). Customer engagement: conceptual domain, fundamental propositions, and implications for research. Journal of Service Research, 14(3), 252–271.

    Article  Google Scholar 

  • Brodie, R. J., Ilic, A., Juric, B., & Hollebeek, L. (2013). Consumer engagement in a virtual brand community: an exploratory analysis. Journal of Business Research, 66(1), 105–114.

    Article  Google Scholar 

  • Bronner, F., & de Hoog, R. (2010). Consumer-generated versus marketer-generated websites in consumer decision making. International Journal of Market Research, 52(2), 231–248.

    Article  Google Scholar 

  • C&A (2012). Press Release. Retrieved July 1, 2015 http://www.c-and-a.com/uk/en/corporate/fileadmin/ templates/master/img/fashion_updates/Pressekonferenz_April_12/PI_Press_Conference_EN.pdf

  • Cao, P., Meister, S., & Klante, O. (2014). How social media influence apparel purchasing behavior. Marketing Review St. Gallen, 31(6), 77–86.

    Article  Google Scholar 

  • Champoux, V., Durgee, J., & McGlynn, L. (2012). Corporate Facebook pages: when “fans” attack. Journal of Business Strategy, 33(2), 22–30.

    Article  Google Scholar 

  • Chatterjee, P. (2011). Drivers of new product recommending and referral behaviour on social network sites. International Journal of Advertising, 30(1), 77–101.

    Article  Google Scholar 

  • Cheung, C., Zheng, X., & Lee, M. (2012). Consumer engagement behaviors in brand communities of social networking sites. Paper presented at the Eighteenth Americas Conference on Information Systems, Seattle, Washington, USA. July 29, 2012. Paper 20.

  • Chevalier, J. A., & Mayzlin, D. (2006). The effect of word of mouth on sales: online book reviews. Journal of Marketing Research, 43(3), 345–354.

    Article  Google Scholar 

  • Cooke, M., & Buckley, N. (2008). Web 2.0, social networks and the future of market research. International Journal of Market Research, 50(2), 267–292.

    Google Scholar 

  • Corstjens, M., & Umblijs, A. (2012). The power of evil: the damage of negative social media strongly outweigh positive contributions. Journal of Advertising Research, 52(4), 433–449.

    Article  Google Scholar 

  • de Vries, L., Gensler, S., & Leeflang, P. S. H. (2012). Popularity of brand posts on brand fan pages: an investigation of the effects of social media marketing. Journal of Interactive Marketing, 26(2), 83–91.

    Article  Google Scholar 

  • Dekay, S. H. (2012). How large companies react to negative facebook comments. Corporate Communications: An International Journal, 17(3), 289–299.

    Article  Google Scholar 

  • Dessart, L., Veloutsou, C., & Morgan-Thomas, A. (2015). Consumer engagement in online brand communities: a social media perspective. The Journal of Product and Brand Management, 24(1), 28–42.

    Article  Google Scholar 

  • Dhar, V., & Chang, E. A. (2009). Does chatter matter? the impact of user-generated content on music sales. Journal of Interactive Marketing, 23(4), 300–307.

    Article  Google Scholar 

  • Ernsting’s family (2013). Zahlen & Fakten. Retrieved March 31, 2015 http://unternehmen.ernstings-family.de/zahlen-fakten/

  • Esprit (2013). Financial Year 20122013 Annual Report English. Retrieved July 1, 2015 http://www.esprit.com/investor_relations/financial_information/annual_interim_reports/

  • Facebook (2015). Facebook Q1 2015 Results & Facebook Q4 2014 Results. Retrieved July 1, 2015 http://investor.fb.com/results.cfm

  • Fulgoni, G. M., & Lipsman, A. (2015). Digital word of mouth and its offline amplification: a holistic approach to leveraging and amplifying all forms of WOM. Journal of Advertising Research, 55(1), 18–21.

    Article  Google Scholar 

  • Gan, D., & Jenkins, L. R. (2015). Social networking privacy—who’s stalking you? Future Internet, 7(1), 67–93.

    Article  Google Scholar 

  • Gensler, S., Völckner, F., Liu-Thompkins, Y., & Wiertz, C. (2013). Managing Brands in the Social Media Environment. Journal of Interactive Marketing, 27(4), 242–256.

  • Goel, S., & Goldstein, D. G. (2013). Predicting individual behavior with social networks. Marketing Science, 33(1), 82–93.

    Article  Google Scholar 

  • Goh, K.-Y., Heng, C.-S., & Lin, Z. (2013). Social media brand community and consumer behavior: quantifying the relative impact of user- and marketer-generated content. Information Systems Research, 24(1), 88–107.

    Article  Google Scholar 

  • Gomez-Arias, J. T., & Genin, L. (2009). Beyond monetization: creating value through online social networks. International Journal of Electronic Business Management, 7(2), 79–85.

    Google Scholar 

  • Gopinath, S., Chintagunta, P. K., & Venkataraman, S. (2013). Blogs, advertising, and local-market movie box office performance. Management Science, 59(12), 2635–2654.

    Article  Google Scholar 

  • Gruhl, D., Guha, R., Kumar, R., Novak, J., & Tomkins, A. (2005). The Predictive Power of Online Chatter. Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining, Chicago, Illinois, USA, 78–87.

  • Gummerus, J., Liljander, V., Weman, E., & Pihlström, M. (2012). Customer engagement in a Facebook brand community. Management Research Review, 35(9), 857–877.

    Article  Google Scholar 

  • H&M (2013). H & M Hennes & Mauritz AB Full-year Report 2013. Retrieved July 1, 2015 http://about.hm.com/content/dam/hm/about/documents/en/cision/2014/01/1280856_en.pdf

  • Hansson, L., Wrangmo, A., Søilen, S., & Klaus (2013). Optimal ways for companies to use Facebook as a marketing channel. Journal of Information, Communication and Ethics in Society, 11(2), 112–126.

    Article  Google Scholar 

  • Hoffman, D. L., & Fodor, M. (2010). Can you measure the roi of your social media marketing? MIT Sloan Management Review, 52(1), 41–49.

    Google Scholar 

  • Hoffman, Donna L., & Novak, Thomas P. (2012). Social media strategy. In V. Shankar & G. S. Carpenter (Eds.), Handbook on Marketing Strategy (pp. 198–216).

  • Hollebeek, L. D., Glynn, M. S., & Brodie, R. J. (2014). Consumer brand engagement in social media: conceptualization, scale development and validation. Journal of Interactive Marketing, 28(2), 149–165.

    Article  Google Scholar 

  • Holsing, C., & Schultz, C. D. (2013). Empirical insights on the effect of user-generated website features on micro-conversions. International Journal of Electronic Business Research, 9(4), 33–46.

    Article  Google Scholar 

  • Hutter, K., Hautz, J., Dennhardt, S., & Füller, J. (2013). The impact of user interactions in social media on brand awareness and purchase intention: the case of MINI on Facebook. The Journal of Product and Brand Management, 22(5/6), 342–351.

    Article  Google Scholar 

  • Ismail, A. R., & Spinelli, G. (2012). Effects of brand love, personality and image on word of mouth. Journal of Fashion Marketing and Management: An International Journal, 16(4), 386–398.

    Article  Google Scholar 

  • Jeong, Y., & Coyle, E. (2014). What are you worrying about on facebook and twitter? an empirical investigation of young social network site users’ privacy perceptions and behaviors. Journal of Interactive Advertising, 14(2), 51–59.

    Article  Google Scholar 

  • Kabadayi, S., & Price, K. (2014). Consumer – brand engagement on facebook: liking and commenting behaviors. Journal of Research in Interactive Marketing, 8(3), 203–223.

    Article  Google Scholar 

  • Kane, G. C., Alavi, M., Labianca, G., & Borgatti, S. P. (2014). What's different about social media networks? a framework and research agenda. MIS Quarterly, 38(1), 275–304.

    Google Scholar 

  • Katona, Z., Zubcsek, P. P., & Sarvary, M. (2011). Network effects and personal influences: the diffusion of an online social network. Journal of Marketing Research, 48(3), 425–443.

    Article  Google Scholar 

  • Kazienko, P., Szozda, N., Filipowski, T., & Blysz, W. (2013). New business client acquisition using social networking sites. Electronic Markets, 23(2), 93–103.

    Article  Google Scholar 

  • Kotler, P., & Armstrong, G. (2014). Principles of marketing (15th ed., ). Boston, MA: Pearson.

    Google Scholar 

  • Külcü, Ö., & Henkoğlu, T. (2014). Privacy in social networks: an analysis of facebook. International Journal of Information Management, 34(6), 761–769.

    Article  Google Scholar 

  • Labrecque, L. I., vor dem Esche, J., Mathwick, C., Novak, T. P., & Hofacker, C. F. (2013). Consumer power: evolution in the digital age. Journal of Interactive Marketing, 27(4), 257–269.

    Article  Google Scholar 

  • Lehmkuhl, Tobias, & Jung, Reinhard. (2013). Value creation potential of WEB 2.0 for SME - insights and lessons learnt from a European Producer of consumer electronics. International Journal of Cooperative Information Systems, 22(3), 1340003–1-1340003-22.

  • Li, Y., Li, Y., Yan, Q., & Deng, R. H. (2015). Privacy leakage analysis in online social networks. Computers & Security, 49, 239–254.

    Article  Google Scholar 

  • Liao, S.-H., Hsian, P.-Y., & Wu, G.-L. (2014). Mining user knowledge for investigating the facebook business model: the case of Taiwan users. Applied Artificial Intelligence, 28(7), 712–736.

    Article  Google Scholar 

  • Lipsman, A., Mud, G., Rich, M., & Bruich, S. (2012). The power of "like": how brands reach (and influence) fans through social-media marketing. Journal of Advertising Research, 52(1), 40–52.

    Article  Google Scholar 

  • Min, J., & Kim, B. (2015). How are people enticed to disclose personal information despite privacy concerns in social network sites? the calculus between benefit and cost. Journal of the Association for Information Science & Technology, 66(4), 839–857.

    Article  Google Scholar 

  • Moe, W. W., & Schweidel, D. A. (2012). Online product opinions: incidence, evaluation, and evolution. Marketing Science, 31(3), 372–386.

    Article  Google Scholar 

  • Moe, W. W., & Trusov, M. (2011). The value of social dynamics in online product ratings forums. Journal of Marketing Research, 48(3), 444–456.

    Article  Google Scholar 

  • Munnukka, J., & Järvi, P. (2014). Perceived risks and risk management of social media in an organizational context. Electronic Markets, 24(3), 219–229.

    Article  Google Scholar 

  • Narayanaswamy, R., & McGrath, L. (2014). a holistic study of privacy in social networking sites. Academy of Information & Management Sciences Journal, 17(1), 71–85.

    Google Scholar 

  • Naylor, R. W., Lamberton, C. P., & West, P. M. (2012). Beyond the “like” button: the impact of mere virtual presence on brand evaluations and purchase intentions in social media settings. Journal of Marketing, 76(6), 105–120.

    Article  Google Scholar 

  • Ng, C. S.-P. (2013). Intention to purchase on social commerce websites across cultures: a cross-regional study. Information Management, 50(8), 609–620.

    Article  Google Scholar 

  • Ngai, E. W. T., Tao, S. S. C., & Moon, K. K. L. (2015). Social media research: theories, constructs, and conceptual frameworks. International Journal of Information Management, 35(1), 33–44.

    Article  Google Scholar 

  • Nosko, A., Wood, E., & Molema, S. (2010). All about me: disclosure in online social networking profiles: the case of facebook. Computers in Human Behavior, 26(3), 406–418.

    Article  Google Scholar 

  • Olbrich, R., & Holsing, C. (2011). Modeling consumer purchasing behavior in social shopping communities with clickstream data. International Journal of Electronic Commerce, 16(2), 15–40.

    Article  Google Scholar 

  • Onishi, H., & Manchanda, P. (2012). Marketing activity, blogging and sales. International Journal of Research in Marketing, 29(3), 221–234.

    Article  Google Scholar 

  • Park, H., & Cho, H. (2012). Social network online communities: information sources for apparel shopping. Journal of Consumer Marketing, 29(6), 400–411.

    Article  Google Scholar 

  • Patsakis, C., Zigomitros, A., Papageorgiou, A., & Galván-López, E. (2014). Distributing privacy policies over multimedia content across multiple online social networks. Computer Networks, 75, Part B, 531–543.

  • Peters, K., Chen, Y., Kaplan, A. M., Ognibeni, B., & Pauwels, K. (2013). Social media metrics – a framework and guidelines for managing social media. Journal of Interactive Marketing, 27(4), 281–298.

    Article  Google Scholar 

  • Phang, C. W., Zhang, C., & Sutanto, J. (2013). The influence of user interaction and participation in social media on the consumption intention of niche products. Information Management, 50(8), 661–672.

    Article  Google Scholar 

  • Primark (2013). Associated British Foods Annual Report and Accounts, 2013 Retrieved July 1, 2015 http://www.abf.co.uk/documents/pdfs/2013/2013_abf_annual_report_and_accounts.pdf.

  • Sashi, C. M. (2012). Customer engagement, buyer-seller relationships, and social media. Management Decision, 50(2), 253–272.

    Article  Google Scholar 

  • Schweidel, D. A., & Moe, W. W. (2014). Listening in on social media: a joint model of sentiment and venue format choice. Journal of Marketing Research, 51(4), 387–402.

    Article  Google Scholar 

  • Stephen, A. T., & Galak, J. (2012). The effects of traditional and social earned media on sales: a study of a microlending marketplace. Journal of Marketing Research, 49(5), 624–639.

    Article  Google Scholar 

  • Stutzman, F., Gross, R., & Acquisti, A. (2012). Silent listeners: the evolution of privacy and disclosure on facebook. Journal of Privacy and Confidentiality, 4(2), Article 2.

  • Tirunillai, S., & Tellis, G. J. (2012). Does chatter really matter? dynamics of user-generated content and stock performance. Marketing Science, 31(2), 198–215.

    Article  Google Scholar 

  • Trusov, M., Bodapati, A. V., & Bucklin, R. E. (2010). Determining influential users in internet social networks. Journal of Marketing Research, 47(4), 643–658.

    Article  Google Scholar 

  • Trusov, M., Bucklin, R. E., & Pauwels, K. (2009). Effects of word-of-mouth versus traditional marketing: findings from an internet social networking site. Journal of Marketing, 73(5), 90–102.

    Article  Google Scholar 

  • Tucker, C. E. (2014). Social networks, personalized advertising, and privacy controls. Journal of Marketing Research, 51(5), 546–562.

    Article  Google Scholar 

  • Tsai, W.-H. S., & Men, L. R. (2013). Motivations and antecedents of consumer engagement with brand pages on social networking sites. Journal of Interactive Advertising, 13(2), 76–87.

    Article  Google Scholar 

  • Verbraken, T., Goethals, F., Verbeke, W., & Baesens, B. (2014). Predicting online channel acceptance with social network data. Decision Support Systems, 63(July), 104–114.

    Article  Google Scholar 

  • Wirtz, J., den Ambtman, A., Bloemer, J., Horváth, C., Ramaseshan, B., van de Klundert, J., Canli, Z. G., & Kandampully, J. (2013). Managing brands and customer engagement in online brand communities. Journal of Service Management, 24(3), 223–244.

    Article  Google Scholar 

  • Yadav, M. S., & Pavlou, P. A. (2014). Marketing in computer-mediated environments: research synthesis and new directions. Journal of Marketing, 78(1), 20–40.

    Article  Google Scholar 

  • Yadav, M. S., de Valck, K., Hennig-Thurau, T., Hoffman, D. L., & Spann, M. (2013). Social commerce: a contingency framework for assessing marketing potential. Journal of Interactive Marketing, 27(4), 311–323.

    Article  Google Scholar 

  • Xu, K., Guo, X., Li, J., Lau, R. Y. K., & Liao, S. S. Y. (2012a). Discovering target groups in social networking sites: an effective method for maximizing joint influential power. Electronic Commerce Research and Applications, 11(4), 318–334.

    Article  Google Scholar 

  • Xu, K., Li, J., & Song, Y. (2012b). Identifying valuable customers on social networking sites for profit maximization. Expert Systems with Applications, 39(17), 13009–13018.

    Article  Google Scholar 

  • Yu, Y., Duan, W., & Cao, Q. (2013). The impact of social and conventional media on firm equity value: a sentiment analysis approach. Decision Support Systems, 55(4), 919–926.

    Article  Google Scholar 

  • Zara (2013). Inditex group annual report 2013. Report and Accounts, 2013 Retrieved July 1, 2015 http://www.inditex.com/documents/10279/18789/Inditex_Group_Annual_Report_2013.pdf/.

  • Zhang, M., Jansen, B. J., & Chowdhury, A. (2011). Business Engagement on Twitter: A Path Analysis. Electronic Markets, 21(3), 161–175.

    Article  Google Scholar 

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The author thanks the editors of the special issue and the two anonymous reviewers for their valuable comments and suggestions.

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Correspondence to Carsten D. Schultz.

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Schultz, C.D. Insights from consumer interactions on a social networking site: Findings from six apparel retail brands. Electron Markets 26, 203–217 (2016). https://doi.org/10.1007/s12525-015-0209-7

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