Journal of Management Research and Review (JMRR)

The Role of Digital Marketing Analytics in Consumer Behavior Prediction: A Study of Indian Retail Sector

Dr. Mohammad Faizi

8 July 2025 · Vol. 1, Issue 1, pp. 7-10

DOI: 10.65150/EP-jmrr/V1E1/2025-A003

Abstract

In the era of digital disruption, marketing strategies are rapidly evolving with the help of analytics. This study explores the strategic role of digital marketing analytics in predicting consumer behavior in the Indian retail sector. Through case studies and data from leading Indian retailers, the paper examines how tools like predictive modeling, customer segmentation, and real-time data tracking are being used to personalize marketing and improve customer engagement. The findings indicate that the adoption of digital marketing analytics leads to measurable improvements in customer acquisition, retention, and sales growth. The study also addresses challenges in adoption and offers practical recommendations.

Keywords: Digital Marketing Analytics, Consumer Behavior, Retail Strategy, Predictive Analytics, India, E-commerce, Consumer Engagement

Read the full text on Journal of Management Research and Review →The full peer-reviewed article and PDF are hosted on the journal's site (the version of record).

Dr. Mohammad Faizi (2025). The Role of Digital Marketing Analytics in Consumer Behavior Prediction: A Study of Indian Retail Sector. Journal of Management Research and Review, 1(1), 7-10. https://doi.org/10.65150/EP-jmrr/V1E1/2025-A003

@article{Dr2025,
  title   = {The Role of Digital Marketing Analytics in Consumer Behavior Prediction: A Study of Indian Retail Sector},
  author  = {Dr. Mohammad Faizi},
  journal = {Journal of Management Research and Review},
  year    = {2025},
  volume  = {1},
  number  = {1},
  pages   = {7-10},
  doi     = {10.65150/EP-jmrr/V1E1/2025-A003},
  url     = {https://doi.org/10.65150/EP-jmrr/V1E1/2025-A003}
}

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