Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM.GSTCOS092
Volume:
10 |
7 |
Jul 2026
Pages:
1-8
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Student of MBA,
CMR institute of Technology, Hyderabad, Telangana, India.
Associate Professor of MBA,
CMR institute of Technology, Hyderabad, Telangana, India.
As digital technologies and data-driven practices become standard in marketing, organizations are relying more heavily on analytics to guide decisions. This study examines whether that reliance pays off — specifically, how marketing analytics affects brand performance and customer satisfaction, and how the two outcomes relate to each other. It also looks at how data-driven marketing strategies shape customer perception and engagement. The research used a descriptive, quantitative design. Primary data came from 112 respondents through a structured questionnaire, while secondary data was drawn from books, journals, research articles, and online sources to ground the study in existing literature. Data was analyzed using frequency, percentage, correlation, and regression analysis, run through Microsoft Excel and SPSS. The findings show that marketing analytics has a significant positive impact on both brand performance and customer satisfaction. Personalized marketing and data-informed decisions consistently improve customer experiences, strengthen brand image, and build greater loyalty and engagement. The relationship holds across the data — analytics isn't just associated with better outcomes, it measurably contributes to them. Taken together, these results suggest that organizations using marketing analytics effectively are better positioned for sustainable growth and a stronger competitive position in a market that keeps shifting.
KEYWORDS
Marketing analytics influences brand performance in ways that go beyond awareness metrics. When organizations use customer data to inform their strategies, they build stronger brand images, earn greater loyalty, and position themselves more competitively. The effect isn't automatic — it depends on how well the data is interpreted and acted on — but the relationship is consistent and statistically significant. The impact on customer satisfaction is equally clear. Personalized recommendations, tailored communication, and data-informed interactions make customers feel understood rather than targeted. That distinction matters. Customers who feel understood are more likely to trust a brand, return to it, and recommend it. The study's loyalty and word-of-mouth findings reflect exactly that pattern. The correlation and regression results tie these threads together. Marketing analytics doesn't just affect brand outcomes and customer outcomes separately — it drives both through the same underlying mechanism: knowing your customer well enough to give them something relevant, at the right time, in the right way.
1. Kotler, P., & Keller, K. L. (2006). Marketing management (12th ed.). Pearson Prentice Hall. 2. Mittal, V., Anderson, E. W., Sayrak, A., & Tadikamalla, P. (2023). Dual emphasis and the long-term financial impact of customer satisfaction. Marketing Science, 24(4), 544–555. 3. Usha, K. (2020). A systematic review of marketing analytics: Trends and future directions. Journal of Marketing Analytics, 8(2), 45–62.
Publication Date
7/5/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
1
Total views since publication
PDF Downloads
2
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...