Optimizing positive goal framing in advertising: differential consumer responses to new product categories

Purpose: This research delves into the nuanced effects of positive goal framing quantity in advertising on consumer reactions towards new products, categorizing them into incrementally new products (INPs) and really new products (RNPs). It moves beyond the traditional binary evaluation of advertising effectiveness, offering a more intricate analysis of consumer engagement based on product novelty. Design/methodology/approach: Employing a comprehensive dataset encompassing 461 digital video advertisements from six leading technology-centric firms, this study employs content analysis alongside hierarchical polynomial regression to dissect the dynamics between the volume of positive goal framings and consumer engagements. This examination is contextualized within the spectrum of product innovation, offering insights into the differential consumer behaviors elicited by INPs and RNPs. Findings: The investigation uncovers a non-linear, inverted U-shaped correlation between the volume of positive goal framings and consumer responses. This relationship exhibits variability in its intensity between INPs and RNPs, with INPs demonstrating a more pronounced response variability around a higher inflection point on the curve. This pattern underscores the complex interplay between goal framing and product novelty in shaping consumer perceptions and actions. Originality/value: This study pioneers the exploration of goal framing within the realm of product advertising, shifting the analytical lens from its traditional roots in health and medicine to the intricacies of consumer behavior in response to advertising. By introducing a distinctive classification of product newness through INPs and RNPs, the research augments current understanding of effective advertising strategies, delivering profound insights for marketers and advertisers in tailoring their campaigns to align with consumer expectations and product characteristics.