THE IMPACT OF ADVANCED ANALYTICS AND AI-DRIVEN INSIGHTS ON DATA-DRIVEN DECISION-MAKING IN MARKETING
Keywords:
Advanced Analytics Platforms, AI-Driven Marketing Insights, Data-Driven Decision-Making, Predictive Audience Targeting, Real-Time Marketing OptimizationAbstract
This article explores the transformative impact of advanced analytics platforms and AI-driven insights on data-driven decision-making in marketing. It examines how cutting-edge technologies like Google Analytics 4 and Adobe Experience Platform are revolutionizing customer behavior analysis, audience targeting, and campaign performance measurement. The article delves into the capabilities of these platforms, including real-time behavior tracking, predictive modeling, and personalization at scale. It discusses how AI-powered insights are accelerating decision-making processes and enabling more agile marketing strategies. The research also addresses the optimization of marketing strategies through data-informed budget allocation, AI-based content optimization, and real-time data utilization. While highlighting the immense potential of these technologies, the article acknowledges challenges such as data privacy concerns, skills gaps in analytics interpretation, and the need to balance automation with human intuition. Looking ahead, the paper considers emerging trends in marketing analytics, potential advancements in AI-driven insights, and the integration of analytics with other marketing technologies. Through a comprehensive examination of current practices, challenges, and future directions, this article provides a thorough understanding of how advanced analytics and AI are reshaping the landscape of marketing decision-making and strategy formulation.
References
S. Ransbotham, D. Kiron, and P. K. Prentice, "Beyond the Hype: The Hard Work Behind Analytics Success," MIT Sloan Management Review, vol. 57, no. 3, pp. 1-16, 2016. [Online]. Available: https://sloanreview.mit.edu/projects/the-hard-work-behind-data-analytics-strategy/
D. Chaffey and F. Ellis-Chadwick, "Digital marketing: Strategy, implementation and practice," 6th ed. Pearson, 2019. [Online]. Available: https://www.pearson.com/en-gb/subject-catalog/p/digital-marketing/P200000011368/9781292243917
Li, Alice & Kannan, P. K. (2014). Attributing Conversions in a Multichannel Online Marketing Environment: An Empirical Model and a Field Experiment. Journal of Marketing Research. 51. 40-56. 10.1509/jmr.13.0050. [Online]. Available: https://journals.sagepub.com/doi/10.1509/jmr.13.0050
P. C. Verhoef, E. C. Malthouse, and P. S. H. Leeflang, "Digital Marketing and Business Models," in The Routledge Companion to the Future of Marketing, L. Moutinho and C. Chien, Eds. Routledge, 2020, pp. 249-266. [Online]. Available: https://www.amazon.in/Routledge-Companion-Companions-Management-Accounting/dp/0415625920
K. N. Lemon and P. C. Verhoef, "Understanding Customer Experience Throughout the Customer Journey," Journal of Marketing, vol. 80, no. 6, pp. 69-96, 2016. [Online]. Available: https://journals.sagepub.com/doi/10.1509/jm.15.0420
Nisar, Tahir & Yeung, Man. (2017). Attribution Modeling In Digital Advertising: An Empirical Investigation Of the Impact of Digital Sales Channels. Journal of Advertising Research. 58. JAR-2017. 10.2501/JAR-2017-055. [Online]. Available: https://www.journalofadvertisingresearch.com/content/58/4/399
A. Hanssens and D. A. Pauwels, "Demonstrating the Value of Marketing," Journal of Marketing, vol. 80, no. 6, pp. 173-190, 2016. [Online]. Available: https://journals.sagepub.com/doi/10.1509/jm.15.0417
S. Erevelles, N. Fukawa, and L. Swayne, "Big Data consumer analytics and the transformation of marketing," Journal of Business Research, vol. 69, no. 2, pp. 897-904, 2016. [Online]. Available: https://www.sciencedirect.com/science/article/abs/pii/S0148296315002842
V. Kumar, J. Zhang, and A. Luo, "Modeling Customer Opt-In and Opt-Out in a Permission-Based Marketing Context," Journal of Marketing Research, vol. 51, no. 4, pp. 403-419, 2014. [Online]. Available: https://journals.sagepub.com/doi/10.1509/jmr.13.0169
A. Acquisti, L. Brandimarte, and G. Loewenstein, "Privacy and human behavior in the age of information," Science, vol. 347, no. 6221, pp. 509-514, 2015. [Online]. Available: https://science.sciencemag.org/content/347/6221/509
