Impacto del Marketing Predictivo Basado en Inteligencia Artificial
Transformando estrategias de comunicación y ventas en pymes y startups
DOI:
https://doi.org/10.62161/revvisual.v17.5394Palabras clave:
Marketing predictivo, Inteligencia Artificial, Startups, Pymes, Estrategias de comunicación, VentasResumen
Este artículo analiza el impacto del marketing predictivo basado en Inteligencia Artificial (IA) en startups y pymes, enfatizando su papel en la optimización de estrategias de comunicación y ventas. Mediante un enfoque metodológico mixto que incluye entrevistas semi-estructuradas y cuestionarios, se identifican mejoras significativas en la personalización de las interacciones con los clientes, así como un incremento promedio del 25,4% en las tasas de conversión. Los resultados indican que las empresas que adoptan IA no solo optimizan recursos y refuerzan su capacidad estratégica, sino que también logran una ventaja competitiva en un entorno digital en constante evolución. A pesar de los beneficios, se presentan desafíos éticos y organizacionales, como la falta de personal capacitado y la gestión de datos, lo que requiere soluciones que promuevan una implementación ética y efectiva.
Descargas
Citas
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology. 3. 77-101. https://doi.org/10.1191/1478088706qp063oa DOI: https://doi.org/10.1191/1478088706qp063oa
Brynjolfsson, E., & McAfee, A. (2017). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. W.W. Norton & Company.
Caliskan, A., Bryson, J. J., & Narayanan, A. (2017). Semantics derived automatically from language corpora contain human-like biases. Science, 356(6334), 183–186. https://doi.org/10.1126/science.aal4230 DOI: https://doi.org/10.1126/science.aal4230
Chaffey, D., & Ellis-Chadwick, F. (2019). Digital marketing: Strategy, implementation and practice. Pearson.
Chatterjee, S., Chaudhuri, R., Vrontis, D., Thrassou, A., & Ghosh, S. K. (2021). Adoption of artificial intelligence-integrated CRM systems in agile organizations in India. Technological Forecasting and Social Change, 168, 120783, https://doi.org/10.1016/j.techfore.2021.120783 DOI: https://doi.org/10.1016/j.techfore.2021.120783
Chintalapati, S., & Pandey, S. (2021). Artificial intelligence in marketing: A systematic literature review. International Journal of Market Research. 64. 147078532110184. https://doi.org/10.1177/14707853211018428 DOI: https://doi.org/10.1177/14707853211018428
Creswell, J. W., & Creswell, J. D. (2017). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). SAGE Publications.
Creswell, J. W., & Plano Clark, V. L. (2011). Designing and conducting mixed methods research. SAGE Publications.
Davenport, T., Guha, A., Grewal, D., & Bressgott, T. (2020). How artificial intelligence will change the future of marketing. J. of the Acad. Mark. Sci. 48, 24–42. https://doi.org/10.1007/s11747-019-00696-0 DOI: https://doi.org/10.1007/s11747-019-00696-0
Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108-116. https://www.bizjournals.com/boston/news/2018/01/09/hbr-artificial-intelligence-for-the-real-world.html
Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J., Eirug, A., Galanos, V., Ilavarasan, P. V., Janssen, M., Jones, P., Kar, A. K., Kizgin, H., Kronemann, B., Lal, B., Lucini, B., Medaglia, R., Le Meunier-FitzHugh, K., Le Meunier-FitzHugh, L. C., Misra, S., Mogaji, E., Sharma, S. K., Singh, J. B., Raghavan, V., Raman, R., Rana, N. P., Samothrakis, S., Spencer, J., Tamilmani, K., Tubadji, A., Walton, P., Williams, M. D., & ... (2021). Artificial intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57, 101994. https://doi.org/10.1016/j.ijinfomgt.2019.08.002 DOI: https://doi.org/10.1016/j.ijinfomgt.2019.08.002
Field, A. (2018). Discovering statistics using IBM SPSS statistics (5th ed.). SAGE Publications.
Floridi, L. (2019). The ethics of artificial intelligence: Principles, Challenges, and Opportunities. Oxford University Press.
Gartner, Inc. (2019). Magic quadrant for data management solutions for analytics. Retrieved from https://www.gartner.com/en/documents/3898487
Haenlein, M., & Kaplan, A. (2019). A Brief History of Artificial Intelligence: On the Past, Present, and Future of Artificial Intelligence. California Management Review. 61. 000812561986492. http://doi.org/10.1177/0008125619864925 DOI: https://doi.org/10.1177/0008125619864925
Hair, J. F., Page, M., & Brunsveld, N. (2019). Essentials of business research methods (4th ed.). Routledge. https://doi.org/10.4324/9780429203374 DOI: https://doi.org/10.4324/9780429203374
Islam, J. U., Hollebeek, L. D., Rahman, Z., Khan, I., & Rasool, A. (2019). Customer engagement in the service context: An empirical investigation of the construct, its antecedents and consequences. Journal of Retailing and Consumer Services, 50, 277-285. https://doi.org/10.1016/j.jretconser.2019.05.018 DOI: https://doi.org/10.1016/j.jretconser.2019.05.018
Jarek, K., & Mazurek, G. (2019). Marketing and Artificial Intelligence. Central European Business Review. 8. 46-55. https://doi.org/10.18267/j.cebr.213 DOI: https://doi.org/10.18267/j.cebr.213
King, N. (2004). Using interviews in qualitative research. In C. Cassell & G. Symon (Eds.), Essential guide to qualitative methods in organizational research (pp. 11-22). SAGE Publications. DOI: https://doi.org/10.4135/9781446280119.n2
Lashitew, A. A. (2021). Corporate uptake of artificial intelligence and its societal impacts: A cross-country comparison. SSRN. https://doi.org/10.2139/ssrn.3789574 DOI: https://doi.org/10.2139/ssrn.3789574
Lilien, G. L., & Rangaswamy, A. (2001). Marketing engineering: Computer-assisted marketing analysis and planning. Prentice Hall.
McKinsey & Company. (2021). The state of AI in 2021. Retrieved from https://www.mckinsey.com/ capabilities/quantumblack/our-insights/global-survey-the-state-of-ai-in-2021
Miles, M. B., Huberman, A. M., & Saldaña, J. (2014). Qualitative data analysis: A methods sourcebook (3rd ed.). SAGE Publications.
Mittelstadt, B. D., Allo, P., Taddeo, M., Wachter, S., & Floridi, L. (2016). The ethics of algorithms: Mapping the debate. Big Data & Society, 3(2), 1-21. https://doi.org/10.1177/205395171667967 DOI: https://doi.org/10.1177/2053951716679679
O'Neil, C. (2017). Cathy O´Neil. Weapons of math destruction: How big data increases inequality and threatens democracy. Crown Publishing Group. https://doi.org/10.5860/crl.78.3.403 DOI: https://doi.org/10.5860/crl.78.3.403
Peralta, C. (2024). Big data analysis and its impact on the marketing industry: a systematic review. Indonesian Journal of Electrical Engineering and Computer Science. 35. 1032. https://doi.org/10.11591/ijeecs.v35.i2.pp1032-1040 DOI: https://doi.org/10.11591/ijeecs.v35.i2.pp1032-1040
Robson, C., & McCartan, K. (2017). Real World Research, 4th Edition.
Rust, Roland & Huang, Ming-Hui. (2014). The Service Revolution and the Transformation of Marketing Science. Marketing Science. 33. 206-221. https://doi.org/10.1287/mksc.2013.0836 DOI: https://doi.org/10.1287/mksc.2013.0836
Singh, M. (2024). Machine Learning in Marketing Analytics. International Journal of Enhanced Research in Management & Computer Applications, 13, 2319-7471.2319-7471. https://doi.org/10.55948/ IJERMCA.2024.0410
Syam, N., & Sharma, A. (2018). Waiting for a sales renaissance in the fourth industrial revolution: Machine learning and artificial intelligence in sales research and practice. Industrial Marketing Management, 69, 135-146. https://doi.org/10.1016/j.indmarman.2017.12.019 DOI: https://doi.org/10.1016/j.indmarman.2017.12.019
Tene, O., & Polonetsky, J. (2012). Privacy in the age of big data: A time for big decisions. Stanford Law Review Online, 64(63), 63-69.
Venkatesan, R., Petersen, J., & Guissoni, L. (2018). Measuring and managing customer engagement value through the customer journey. In Handbook of customer engagement (pp. 59–83). https://doi.org/10.1007/978-3-319-61985-9_3 DOI: https://doi.org/10.1007/978-3-319-61985-9_3
Descargas
Publicado
Cómo citar
Número
Sección
Licencia
Aquellos autores/as que publiquen con esta revista, aceptan los términos siguientes:
- Los autores/as conservarán los derechos morales sobre la obra y cederán a la revista los derechos comerciales.