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Rural markets emerging as a crucial area for business growth, especially in the context of India's vast population residing in rural areas, understanding and effectively implementing marketing strategies tailored to these regions becomes paramount. This study delves into the realm of rural marketing strategies, focusing specifically on health care products, through a comparative analysis of two prominent companies: Patanjali and Dabur. The study aims to compare the strategies adopted by Patanjali and Dabur, assess customer satisfaction with their health care products, and analyze factors influencing purchasing decisions in rural areas. Employing a descriptive and analytical research design, data was collected using a mixed sampling technique in Haryana, employing both primary and secondary sources. Statistical analysis using tools such as SPSS facilitated the interpretation of results, including hypothesis testing using techniques like the Krushal Wallis Test and Mann-Whitney U Test. It results indicate that both Patanjali and Dabur have successfully implemented rural marketing strategies, leading to increased sales and consumer satisfaction. Rural consumers demonstrate a preference for high-quality, affordable health care products available locally. This study not only contributes to understanding rural marketing dynamics but also offers insights for companies seeking to optimize their strategies for the burgeoning rural health care product market.
Keywords:
Rural Marketing, Health care products, Marketing strategies, Patanjali, and Dabur
Cite Article:
"RURAL MARKETING STRATEGIES OF HEALTH CARE PRODUCTS: A COMPARATIVE ANALYSIS OF PATANJALI AND DABUR.", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.9, Issue 2, page no.310 - 318, February-2024, Available :http://www.ijrti.org/papers/IJRTI2402048.pdf
Downloads:
000205079
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator