THE ROI REVOLUTION: MOVING BEYOND VANITY METRICS TO MANAGE WHAT TRULY MATTERS
DOI:
10.54443/morfai.v6i1.4829Published:
2025-12-23Downloads
Abstract
The digital marketing era ushered in an unprecedented volume of data, yet many organizations remain mired in measuring superficial engagement metrics that fail to correlate with business value. This study examines the critical shift from vanity metrics to a value-centric measurement framework that accurately captures marketing's contribution to financial outcomes. The objective is to identify the key components, implementation challenges, and organizational impacts of a true Return on Investment (ROI) management system. Employing a mixed-methods approach, the research analyzed financial and marketing data from 12 companies alongside in-depth interviews with 30 CFOs, CMOs, and marketing analysts. The results reveal that companies implementing value-based metrics achieved a 28% improvement in marketing efficiency and stronger alignment between marketing and finance. The discussion centers on the evolution from last-click attribution to unified measurement models, the cultural shift required to deprioritize vanity metrics, and the role of predictive analytics. It is concluded that a revolution in marketing measurement is essential, moving beyond clicks and likes to manage metrics that directly influence customer lifetime value and profit, thereby securing marketing's strategic role.
Keywords:
marketing ROI , vanity metrics customer lifetime valueReferences
Beck, B. B., Petersen, J. A., & Venkatesan, R. (2021). Multichannel Data-Driven Attribution Models: A Review and Research Agenda. In Review of Marketing Research (pp. 153–189). Emerald Publishing Limited. https://doi.org/10.1108/s1548-643520210000018007
Belk, R. (2020a). Resurrecting marketing. AMS Review, 10(3–4), 168–171. https://doi.org/10.1007/s13162-020-00182-9
Blut, M., Kulikovskaja, V., Hubert, M., Brock, C., & Grewal, D. (2023). Effectiveness of engagement initiatives across engagement platforms: A meta-analysis. Journal of the Academy of Marketing Science, 51(5), 941–965. https://doi.org/10.1007/s11747-023-00925-7
Cappa, F., Oriani, R., Peruffo, E., & McCarthy, I. (2020). Big Data for Creating and Capturing Value in the Digitalized Environment: Unpacking the Effects of Volume, Variety, and Veracity on Firm Performance*. Journal of Product Innovation Management, 38(1), 49–67. https://doi.org/10.1111/jpim.12545
de Oliveira Santini, F., Ladeira, W. J., Pinto, D. C., Herter, M. M., Sampaio, C. H., & Babin, B. J. (2020). Customer engagement in social media: a framework and meta-analysis. Journal of the Academy of Marketing Science, 48(6), 1211–1228. https://doi.org/10.1007/s11747-020-00731-5
Deshpande, V. S. (2024a). Evolving Attribution Models in Digital Advertising: Balancing Clicks, Views and Customer Journeys. Journal of Artificial Intelligence & Cloud Computing. https://doi.org/10.47363/jaicc/2024(3)e190
Deshpande, V. S. (2024b). Evolving Attribution Models in Digital Advertising: Balancing Clicks, Views and Customer Journeys. Journal of Artificial Intelligence & Cloud Computing. https://doi.org/10.47363/jaicc/2024(3)e190
Du, R. Y., Netzer, O., Schweidel, D. A., & Mitra, D. (2020a). Capturing Marketing Information to Fuel Growth. Journal of Marketing, 85(1), 163–183. https://doi.org/10.1177/0022242920969198
Hair Jr., J. F., & Sarstedt, M. (2021a). Data, measurement, and causal inferences in machine learning: opportunities and challenges for marketing. Journal of Marketing Theory and Practice, 29(1), 65–77. https://doi.org/10.1080/10696679.2020.1860683
Hollebeek, L. D., & Macky, K. (2019). Digital Content Marketing’s Role in Fostering Consumer Engagement, Trust, and Value: Framework, Fundamental Propositions, and Implications. Journal of Interactive Marketing, 45(1), 27–41. https://doi.org/10.1016/j.intmar.2018.07.003
Homburg, C., & Wielgos, D. M. (2022). The value relevance of digital marketing capabilities to firm performance. Journal of the Academy of Marketing Science, 50(4), 666–688. https://doi.org/10.1007/s11747-022-00858-7
Katsikeas, C., Leonidou, L., & Zeriti, A. (2019). Revisiting international marketing strategy in a digital era. International Marketing Review, 37(3), 405–424. https://doi.org/10.1108/imr-02-2019-0080
Kingsnorth, S. (2021). In a data-rich world, which metrics should digital marketers focus on? Applied Marketing Analytics: The Peer-Reviewed Journal, 6(4), 359. https://doi.org/10.69554/imrl3695
Lo Russo, E. (2023). Knowing the levers to pull to measure and optimise digital marketing performance. Applied Marketing Analytics: The Peer-Reviewed Journal, 8(3), 271. https://doi.org/10.69554/ysaa8358
Meire, M., Hewett, K., Ballings, M., Kumar, V., & Van den Poel, D. (2019). The Role of Marketer-Generated Content in Customer Engagement Marketing. Journal of Marketing, 83(6), 21–42. https://doi.org/10.1177/0022242919873903
Mintz, O., Bart, Y., Lenk, P., & Reibstein, D. (2019a). Drowning in Metrics: How Managers Select and Trade-off Metrics for Making Marketing Budgetary Decisions. Social Science Research Network. https://doi.org/10.2139/ssrn.3502600
Moorman, C., van Heerde, H. J., Moreau, C. P., & Palmatier, R. W. (2019a). Challenging the Boundaries of Marketing. Journal of Marketing, 83(5), 1–4. https://doi.org/10.1177/0022242919867086
Nguyen, H.-D., Ngo, T., Le, T. D., Ho, H., & Nguyen, H. T. H. (2019). The Role of Knowledge in Sustainable Agriculture: Evidence from Rice Farms’ Technical Efficiency in Hanoi, Vietnam. Sustainability, 11(9), 2472. https://doi.org/10.3390/su11092472
Oloyede, M. (2022). Attribution done right: How to prove the real value of marketing. Applied Marketing Analytics: The Peer-Reviewed Journal, 8(2), 160. https://doi.org/10.69554/utov3033
Pritchard, M. (2020). Commentary: “Half My Digital Advertising Is Wasted….” Journal of Marketing, 85(1), 26–29. https://doi.org/10.1177/0022242920971195
Rangaswamy, A., Moch, N., Felten, C., Bruggen, G. V. van, Wieringa, J., & Wirtz, J. (2020). The Role of Marketing in Digital Business Platforms. Journal of Interactive Marketing. https://doi.org/10.1016/j.intmar.2020.04.006
Raudino, S. (2019). The Tyranny of Metrics. The European Legacy, 24(7–8), 880–882. https://doi.org/10.1080/10848770.2019.1598145
Russo, E. Lo. (2023). Knowing the levers to pull to measure and optimise digital marketing performance. Applied Marketing Analytics. https://doi.org/10.69554/ysaa8358
Shah, D., & Murthi, B. P. S. (2021a). Marketing in a data-driven digital world: Implications for the role and scope of marketing. Journal of Business Research, 125, 772–779. https://doi.org/10.1016/j.jbusres.2020.06.062
Slijper, T., Urquhart, J., Poortvliet, P. M., Soriano, B., & Meuwissen, M. P. M. (2022). Exploring how social capital and learning are related to the resilience of Dutch arable farmers. Agricultural Systems, 198, 103385. https://doi.org/10.1016/j.agsy.2022.103385
Vollrath, M., & Villegas, S. G. (2021a). Avoiding digital marketing analytics myopia: revisiting the customer decision journey as a strategic marketing framework. Journal of Marketing Analytics. https://doi.org/10.1057/s41270-020-00098-0
Zahay, D. (2021a). Advancing research in digital and social media marketing. https://doi.org/10.1080/10696679.2021.1882865
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