Resumen
Durante la pandemia mundial, muchas empresas iniciaron o aumentaron significativamente su presencia online en las principales plataformas de comercio electrónico, ya sea como vendedores o como comerciantes. Estas pequeñas y medianas empresas necesitan comprender qué nivel de apoyo publicitario necesitan, si es que lo necesitan, y cómo puede repercutir en sus objetivos de rendimiento. Este trabajo investiga cómo influye la publicidad en las reseñas de los clientes online tras la introducción de un producto en un importante minorista con presencia, tanto en tiendas físicas como en el comercio electrónico, abierto tanto a vendedores como a empresas de diversos tamaños. El tiempo de alcance de las reseñas de los clientes es un indicador de la aceptación del producto por parte de los clientes, por lo que es necesario saber el rol de la publicidad en las reseñas de los clientes introducidas en las plataformas de ecommerce. Este trabajo demuestra que, sin apoyo publicitario, el tiempo necesario para alcanzar diez reseñas de clientes aumenta en un 46%.
Citas
Acker, T. (2019) Best Practices for Launching a New Product on Amazon. AdCon. https://tinyurl.com/4ztnzu82
Archak, N., Ghose, A., & Ipeirotis, P. G. (2011). Deriving the pricing power of product attributes by mining consumer reviews. Management Science, 57(8), 1485–1509.
Arens, Z. & Hamilton, R. (2016) Why Focusing on the Similarity of Substitutes Leaves a Lot to Be Desired. Journal of Consumer Research, 43(3), 448-459. https://tinyurl.com/6xfus4hb
Babić Rosario, A., Sotgiu, F., & De Valck, K. (2020). Conceptualizing the electronic word-of-mouth process: What we know and need to know about eWOM creation, exposure, and evaluation. Journal of the Academy of Marketing Science, 48, 422-448.
Bucklin, R. & Bagheri, S. (2020) Visual Notes MSI State of Marketing Science Summit: Marketing in Disruption https://tinyurl.com/8xjvfcfv
Du, R. Y., Netzer, O., Schweidel, D.A., & Mitra, D. (2021) Capturing Marketing Information to Fuel Growth. Journal of Marketing, 85(1), 163–183. https://doi.org/10.1177/0022242920969198
Feng, J., & Papatla, P. (2012) Is Online Word of Mouth Higher for New Models or Redesigns? An Investigation of the Automobile Industry. Journal of Interactive Marketing, 26 (2), 92-101 https://tinyurl.com/t3r3ara8
Golder, P. N., & Tellis, G. J. (1997). Will it ever fly? Modeling the takeoff of really new consumer durables. Marketing Science, 16(3), 256-270.
Hanssens, D. M., & Pauwels, K. H. (2016). Demonstrating the value of marketing. Journal of Marketing, 80(6), 173-190.
Hollenbeck, B., Moorthy, S., & Proserpio, D. (2019). Advertising strategy in the presence of reviews: An empirical analysis. Marketing Science, 38(5), 793-811.
Hulland, J., & Houston, M.B. Why systematic review papers and meta-analyses matter: an introduction to the special issue on generalizations in marketing. Journal of the Academy of Marketing Science, 48, 351–359 (2020). https://doi.org/10.1007/s11747-020-00721-7
Lavidge, R.J. & Steiner G.A. (1961). A model for predictive measurements of advertising effectiveness, Journal of Marketing, 25 (October), 59-62.
Layugan, S. (2020). How to plan a new product launch with digital marketing, ThomasNet, June 30. https://tinyurl.com/4bcex2bz
Lu S., Wu J., & Tseng S-L-A. (2018) How Online Reviews Become Helpful: A Dynamic Perspective. Journal of Interactive Marketing, 44, 17-28. https://tinyurl.com/hn3wxvmk
Ma, J., & Du, B. (2018). Digital advertising and company value: Implications of reallocating advertising expenditures. Journal of Advertising Research, 58(3), 326-337.
Maslowska, E., Malthouse, E. C., & Viswanathan, V. (2017). Do customer reviews drive purchase decisions? The moderating roles of review exposure and price. Decision Support Systems, 98, 1-9.
Matz S. C. & Netzer O. (2017) Using Big Data as a window into consumers’ psychology. Current Opinion in Behavioral Sciences, 18, 7-12. https://tinyurl.com/nnps7cuc
Park, K. M., Chintagunta, P. K., & Suk, I. (2019). Capital market returns to new product development success: Informational effects on product market advertising. Journal of Marketing Research, 56(1), 37-56.
Pauwels, K., & van Ewijk, B. (2020) Enduring Attitudes and Contextual Interest: When and Why Attitude Surveys Still Matter in the Online Consumer Decision Journey. Journal of Interactive Marketing 52, 20-34.
Pauwels, K. (2020), Partner presentation session in Machine Learning & AI Anwendungen im Marketing, Marketing Analytics Summit, 16.-17. November. https://tinyurl.com/98skvye5
Schoenmueller, V., Netzer O., & Stahl F. (2020) The Polarity of Online Reviews: Prevalence, Drivers and Implications. Journal of Marketing Research 57, no. 5, 853-877.
Srinivasan, S., Pauwels, K., Silva-Risso, J., & Hanssens. D. M. (2009) Product innovations, advertising, and stock returns. Journal of Marketing 73(1), 24-43.
Srivastava, R. K., Shervani, T. A., & Fahey, L. (1998). Market-based assets and shareholder value: A framework for analysis. Journal of marketing, 62(1), 2-18.
Tellis, G. J. (2005). Advertising's role in capitalist markets: What do we kn10ow and where do we go from here?. Journal of Advertising Research, 45(2), 162-170.
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