Designing a Content Marketing Template to Increase Purchase Intention in Digital Marketing

Content marketing is one of the newest marketing strategies that attracts and retains customers by producing valuable, relevant, and credible content. This study aims to design a content marketing model to increase purchase intention in digital marketing. 

From a philosophical point of view, this study is empirical research done applying a deductive-inductive approach. Considering the applied method and data collection, it is cross-sectional research. Due to the qualitative and quantitative methods used, this is a mixed research study. Its statistical population in the qualitative content analysis stage and the structural-interpretive modeling included 10 professors and experienced marketing experts, selected using the purposive sampling method. In this paper, qualitative content analysis method was used to identify the underlying categories of content marketing, and the structural-interpretive modeling method was used to identify the causal relationships between the identified indicators. Qualitative data analysis was performed by MaxQDA software and quantitative data analysis was performed by MicMac software.   

The findings of the qualitative section led to the identification of the main and sub-indicators of the content marketing model to increase the purchase intention in digital marketing. After confirming the validity and reliability, the research model was presented in the quantitative section. 

The derived results showed that digital marketing strategies are the major underlying factors of a model that affects content marketing. Also, content marketing strategy affects the knowledge management of consumers and the quality of service delivery and development. It ultimately leads to consumer engagement. Finally, by creating brand value and increasing its competitiveness, consumers' intention to buy can be increased.