Investigating the Impact of Marketing Analytics on Customer Agility and Financial Performance Considering the Moderating Role of Market Turbulence and Data-Driven Culture in a Detergent Company
Keywords:
Marketing Analytics, Customer Agility, Market Volatility, Data-Driven Culture, Financial PerformanceAbstract
Marketing analytics, as a valuable tool, assists businesses in gaining a deeper and more precise understanding of their customers’ needs, preferences, and expectations in dynamic market conditions. Relying on this deep insight, companies can offer high-quality products and services tailored to customer demands, thereby significantly enhancing the customer experience. The aim of this study is to investigate the impact of marketing analytics on customer agility and financial performance, while considering the moderating roles of market turbulence and a data-driven culture within a detergent company. To this end, the required data were collected through a census method using a questionnaire administered to a statistical population of 140 employees of the detergent company. This study is applied in terms of its objective, and from an operational standpoint and in terms of data collection, it is classified as a descriptive survey. For data analysis and hypothesis testing, the PLS (Partial Least Squares) software was employed. The findings of the study indicate that marketing analytics has a positive and significant impact on customer agility and financial performance in the detergent company. Moreover, companies that utilize marketing analytics more effectively are able to achieve superior performance. However, the moderating variables—namely, a data-driven culture and market turbulence—did not significantly influence the relationship between marketing analytics and customer agility.
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References
Ali, N., & Shabn, O. S. (2024). Customer lifetime value (CLV) insights for strategic marketing success and its impact on organizational financial performance. Cogent Business & Management, 11(1), 2361321. https://doi.org/10.1080/23311975.2024.2361321
Branda, A. F., Lala, V., & Gopalakrishna, P. (2018). The marketing analytics orientation (MAO) of firms: identifying factors that create highly analytical marketing practices. Journal of Marketing Analytics, 6(3), 84-94. https://doi.org/10.1057/s41270-018-0036-8
Chaudhuri, R., Chatterjee, S., Vrontis, D., & Thrassou, A. (2021). Adoption of robust business analytics for product innovation and organizational performance: the mediating role of organizational data-driven culture. Ann. Res., 45(8), 1-35.
Dah, H. M., Blomme, R. J., & Kil, A. (2023). Customer Orientation, CRM Organization, and Hotel Financial Performance: The Mediating Role of Customer Satisfaction. Advances in Hospitality and Leisure, 113-135. https://doi.org/10.1108/S1745-354220220000018007
Dehdar, A. (2021). Examining the Impact of Marketing Performance and Marketing Strategy on Financial Performance in Private Medical Clinics in Isfahan. Quarterly Journal of Accounting and Economic Sciences Research, 5(5), 43-50.
Gao, J., Siddik, A. B., Abbas, S. K., Hamayun, M., Masukujjaman, M., & Alam, S. S. (2023). Impact of E-Commerce and Digital Marketing Adoption on the Financial and Sustainability Performance of MSMEs During the COVID-19 Pandemic: An Empirical Study. Sustainability, 15(2), 1594. https://doi.org/10.3390/su15021594
Ghasemaghaei, M., & Calic, G. (2020). Assessing the impact of big data on firm innovation performance: big data is not always better data. J. Bus. Res., 108(2), 147-162. https://doi.org/10.1016/j.jbusres.2019.09.062
Giacosa, E., Culasso, F., & Crocco, E. (2022). Customer agility in the modern automotive sector: how lead management shapes agile digital companies. Technol. Forecast. Soc. Change, 175, 121362. https://doi.org/10.1016/j.techfore.2021.121362
Hadjielias, E., Christofi, M., Christou, P., & Drotarova, M. H. (2022). Digitalization, agility, and customer value in tourism. Technol. Forecast. Soc. Change, 175, 121334. https://doi.org/10.1016/j.techfore.2021.121334
Liang, X., Li, G., Zhang, H., Nolan, E., & Chen, F. (2022). Firm performance and marketing analytics in the Chinese context: a contingency modelJO - J. Bus. Res. 141, 589-599. https://doi.org/10.1016/j.jbusres.2021.11.061
Mikalef, P., Conboy, K., & Krogstie, J. (2021). Artificial intelligence as an enabler of B2B marketing: A dynamic capabilities micro-foundations approach. Ind. Market. Manag., 98, 80-92. https://doi.org/10.1016/j.indmarman.2021.08.003
Mohammadpour, E. (2024). Investigating the impact of relationship marketing methods on the financial and market performance of the company. https://civilica.com/doc/2084333/
Rezaei, R., & Safa, L. (2017). The Impact of Marketing Capabilities on Financial and Customer Performance of Greenhouse Businesses in Jiroft County. Science and Techniques of Greenhouse Cultivation, 8(4), 117-128. https://doi.org/10.29252/ejgcst.8.4.117
Sheng, H., Feng, T., Chen, L., & Chu, D. (2021). Responding to market turbulence by big data analytics and mass customization capability. Ind. Manage. Data Syst., 121(12), 2614-2636. https://doi.org/10.1108/IMDS-03-2021-0160
Woehler, J., & Ernst, C. (2022). The Importance of Marketing Mix Planning and Customer Orientation for Venture Capital–financed Startups: Impacts on Valuation, Performance, and Survival. Journal of Research in Marketing and Entrepreneurship. https://doi.org/10.1108/jrme-08-2021-0098
Wong, D., & Ngai, E. (2023). The effects of analytics capability and sensing capability on operations performance: the moderating role of data-driven culture. Springer nature, Annals of Operations Research. https://doi.org/10.1007/s10479-023-05241-5
Zhou, J., Mavondo, F., & Saunders, S. (2019). The relationship between marketing agility and financial performance under different levels of market turbulence. Industrial Marketing Management. https://doi.org/10.1016/j.indmarman.2018.11.008
Zhou, S., Qiao, Z., Du, Q., Wang, G. A., Fan, W., & Yan, X. (2018). Measuring customer agility from online reviews using big data text analytics. J. Manag. Inf. Syst., 35(2), 510-539. https://doi.org/10.1080/07421222.2018.1451956
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