Influence of Personalized Advertising towards Consumer Loyalty: The Mediating Effect of Satisfaction and Moderating Effect of Perceived Quality
This study examines the relationship between personalized advertising and consumer loyalty, with a focus on the mediating role of satisfaction and the moderating effects of perceived quality on social media platforms. A quantitative research design was employed, which collected data from 385 respondents in Lanao del Norte, Northern Mindanao, Philippines. Partial Least Squares Structural Equation Modeling (PLS-SEM) was used to analyze the relationships between personalized advertising, perceived quality, satisfaction, and consumer loyalty. Results indicate that personalized advertising significantly enhances consumer satisfaction, a key driver of loyalty. Respondents exposed to personalized advertisements were more likely to develop stronger brand attachment, with perceived quality as a catalyst in its mediating role. However, perceived quality did not moderate the relationship between personalized advertising and loyalty, suggesting a more direct influence than previously established. The study further highlights that consumer satisfaction is essential for building loyalty, which emphasizes the importance of delivering relevant, high-quality advertisements. These findings highlight the strategic value of personalized advertising in digital marketing. Businesses can use these insights to refine their advertising strategies, enhance customer engagement, and build long-term brand loyalty. Future research should explore the sustained effects of personalized advertising and its impact across different demographic segments.
Authors
- Carlos Demerutis Peña
- Jupert Jasser G. Abellana (ORCID: https://orcid.org/0009-0007-6201-6867)
- Shiny Rose N. Narit
- Shulamite Ongue
- Arneene Stella Redo
Institutions
- Mindanao State University – Iligan Institute of Technology (PH)
Publication Details
- Journal
- International Review of Management and Marketing
- Published
- 2025-10-13
- DOI
- https://doi.org/10.32479/irmm.19308
- Primary Topic
- Technology and Data Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00