Assistant Professor (
This research investigates the impact of various advertising elements on participant responses through a robust analysis of variance (ANOVA) and regression analysis. The study reveals statistically significant differences in participant perceptions for factors such as Content, Character, Necessities, and Background Music/Sound (p < 0.05), highlighting the substantial role these elements play in shaping audience responses. The regression model, with an explanatory power of 21.1% (R Square = .211), is deemed statistically significant (F = 2.380, p = 0.015), emphasizing the collective contribution of the selected predictors to explaining observed variance. Gender-specific responses unveil variations, with females generally expressing slightly higher favourability across factors like Content, Character, and Verbal Communication. These insights provide marketers with clear guidance for developing campaigns that resonate more deeply and authentically with their target audience. By thoroughly understanding the specific impacts of advertising elements and gender dynamics, marketers can create strategies that ensure a clearer and more meaningful connection with consumers.
Advertising Elements, Perceptions, Marketing, Communications, Content