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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM52351
Volume:
9 |
8 |
Aug 2025
Pages:
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.
In today’s digital world, businesses must use data to make smarter marketing decisions. With growing online competition, it has become important for companies to understand how customers react to emails, blogs, and online content. This project focuses on Big Basket, a popular online grocery platform in India, and explores how it uses email and content analytics to strengthen its brand and connect with customers more effectively. The study uses a case study approach and relies fully on secondary data such as research papers, case studies, social media posts, blogs, and campaign results. We examined Big Basket’s marketing activities and how tools like email open rates, click-through rates (CTR), and content engagement helped them understand customer behavior and improve communication. The findings show that Big Basket’s use of interactive and personalized emails led to higher response and conversion rates. At the same time, the brand’s SEO blogs, recipe content, and product pages helped improve its visibility on search engines and built customer trust. These content strategies increased the time users spent on the site and supported long-term brand loyalty. By combining both email and content analytics, Big Basket was able to create personalized, consistent, and targeted marketing campaigns. This helped them retain customers, increase engagement, and grow digitally. The project concludes that data-driven strategies are key for any e-commerce business looking to improve customer relationships and brand success in the competitive online space.
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Publication Date
1/8/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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