Author(s): Dr. Rashmi Gahlowt, Ms. Saadhya Gupta
The rapid growth of clean-label food brands reflects a broader shift toward transparency, health awareness, and ethical consumption. Because clean-label attributes—natural ingredients, minimal processing, and the absence of artificial additives—are credence qualities that consumers cannot verify independently, trust becomes the central currency of clean-label marketing. Instagram has emerged as a primary channel through which these brands communicate, educate, and build credibility with consumers. This paper condenses a larger dissertation examining which Instagram content formats are most effective for clean-label food brands and how they shape consumer trust and perception. Using a mixed-methods design, the study combines qualitative content analysis of four Indian clean-label brands—Epigamia, Yoga Bar, The Whole Truth, and Slurrp Farm—with a quantitative survey of 301 Instagram users, analysed through descriptive statistics, reliability testing, correlation, and regression in SPSS. The study is grounded in an integrated theoretical framework combining Signaling Theory, Social Proof Theory, Media Representation Theory, and the Theory of Planned Behavior. Findings show that transparency-oriented content is significantly and positively associated with consumer trust (r = .216, p < .01), while engagement metrics such as likes and comments show no significant relationship with trust, and none of the perceptual variables significantly predict purchase intention. Content analysis reveals four distinct trust-building architectures—functional, social, cognitive, and emotional—each aligned with a different content format and theoretical mechanism. The study concludes that Instagram functions less as a sales channel and more as a trust-building ecosystem for clean-label brands, offering theoretical and practical implications for media researchers, marketers, and clean-label entrepreneurs.