The effect of visual marketing on customer attention and revisit intentions at coffee shops in popular tourist destinations in Vietnam

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Type of the article: Research Article

Abstract
Visual marketing encompasses elements that affect how customers perceive visuals and influence their behavior. It significantly enhances customer experience, particularly in visually-driven sectors like tourism. However, there has not been much research on the impact of visual elements on customer behavior at tourist destinations, so this research was conducted to examine the impact of visual marketing on the revisit intentions of customers in coffee shops located in popular tourist destinations across Vietnam. A survey was conducted using popular social media platforms in Vietnam to collect the data of 455 participants during the second half of 2024. The findings suggest that visual marketing elements, such as layout, color, and interior design, significantly and strongly impact customers’ attention located in a coffee shop at a tourist destination, these elements positively influence customers’ intentions to revisit the coffee shop, albeit to a lesser degree. While location does not affect the relationship between visual marketing and customer attention, it plays a significant role in moderating the impact of visual marketing on customers’ intentions to return. The study offered potential solutions to improve visual marketing strategies for coffee shops located in popular tourist destinations, ensuring their continued success in Vietnam’s rapidly changing tourism industry. Future research directions include examining how the popularity of destinations and the online image management of tourism sites impact visual marketing.

Acknowledgment
The authors wish to express deep gratitude to all survey participants for taking the time to share their information, significantly contributing to the success of this study.

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    • Figure 1. Proposed research model
    • Figure 2. Structural Equation Model (SEM)
    • Table 1. Total variance explained
    • Table 2. Factor loadings, Cronbach’s alpha
    • Table 3. CR and AVE results
    • Table 4. Model fit indices
    • Table 5. Results of the mediation model for the involvement factor
    • Table 6. Hypothesis results
    • Table 7. Model summary of the moderation model
    • Table 8. Results of the moderation model for location factor
    • Conceptualization
      Thuy Dao Cam
    • Funding acquisition
      Thuy Dao Cam, Chi Le Truc, Cuong Nguyen Thai, Huyen Tran Thanh
    • Methodology
      Thuy Dao Cam
    • Project administration
      Thuy Dao Cam, Chi Nguyen Thi Mai
    • Resources
      Thuy Dao Cam, Cuong Nguyen Thai, Huyen Tran Thanh, Chi Nguyen Thi Mai, Tung Tran Hoang
    • Supervision
      Thuy Dao Cam
    • Writing – original draft
      Thuy Dao Cam, Chi Le Truc, Cuong Nguyen Thai, Huyen Tran Thanh, Chi Nguyen Thi Mai, Tung Tran Hoang
    • Writing – review & editing
      Thuy Dao Cam
    • Formal Analysis
      Chi Le Truc, Chi Nguyen Thi Mai
    • Investigation
      Chi Le Truc, Huyen Tran Thanh
    • Visualization
      Chi Le Truc, Chi Nguyen Thi Mai
    • Data curation
      Cuong Nguyen Thai, Huyen Tran Thanh, Tung Tran Hoang
    • Validation
      Cuong Nguyen Thai, Tung Tran Hoang
    • Software
      Tung Tran Hoang