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This study examines the role and effectiveness of non-paid forms of advertising in promoting Kannada movies, with a focus on word-of-mouth, social media buzz, and community-based events. Amidst limited marketing budgets in the Kannada film industry, such organic promotional strategies have gained prominence to enhance audience awareness and engagement. Using a sample of 38 Kannada movie viewers, the research employs quantitative methods including Chi-square tests, Mann-Whitney U tests, and Kruskal-Wallis analyses to explore usage patterns, impact on awareness and viewership, audience engagement, and demographic variations. Findings reveal that word-of-mouth and social media buzz are the most frequently used and most effective non-paid advertising methods, significantly increasing both audience awareness and active participation. Younger and digitally active demographics respond most strongly to these advertising channels. Qualitative insights highlight the perceived authenticity and trustworthiness of non-paid promotions. The study underscores the strategic importance of organic, community-driven marketing approaches for Kannada filmmakers operating within financial constraints and offers practical recommendations to optimise promotional activities in this regional film context.
Keywords:
Non-paid advertisements, audience awareness, movie marketing strategies.
Cite Article:
"Impact of Non-Paid Form of Advertisements- An Empirical Study Concerning the Kannada Movies", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 8, page no.a346-a354, August-2025, Available :http://www.ijrti.org/papers/IJRTI2508042.pdf
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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