Applying the Elaboration Likelihood Model to Understand How Visual Means Shape Consumer Purchase Intention

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Authors: Jiarui Yu
Cited by: 0

Abstract

In today's consumer market, visual elements play a crucial role in consumer cognition and decision-making processes. This paper explores the impact of visual cues on consumer purchasing decisions through the lens of the Elaboration Likelihood Model (ELM). The research indicates that visual information operates simultaneously through both the central and peripheral routes, each serving different functions. Furthermore, the ELM theoretical model reveals that the central route primarily utilizes a greater volume of information and more comprehensive functional visual elements, including comparative charts and technical diagrams, which facilitate rational consumer thinking. In contrast, the peripheral route is influenced by aesthetic, emotional, and heuristic cues such as color, patterns, and design, which evoke consumers' emotional choices. Additionally, factors such as product type, cognitive load, and cultural background also moderate the effectiveness of visual persuasion. The study further suggests that dynamic contextual elements can trigger transitions between processing routes. This research provides constructive advice for sales personnel. By optimizing strategies for visual design, it aims to stand out in an increasingly digital retail environment. Simultaneously, both the government and industry levels should formulate and enforce ethical guidelines for visual marketing. The study emphasizes the importance of aligning visual marketing strategies with consumer processing mechanisms to enhance engagement and drive purchasing behavior. Ultimately, this research contributes to a deeper understanding of the theoretical and practical aspects of the visual impact on consumer behavior within the ELM framework.

Fields of Study & Subjects

Consumer Retail Behavior Studies Consumer Behavior and Marketing Influence Consumer Packaging Perceptions and Trends

Publication details

Journal / source
Journal of innovation and development
Volume
14
Issue
2
Pages
112–117
Publication date
9 February 2026
Language
EN