This study was conducted with the aim of modeling digital advertising based on emerging social media in insurance companies. The present study was based on an interpretive philosophy and an inductive approach.A qualitative research design was used to achieve the research objective. The participant population includes management professors and managers of insurance companies. Sampling was carried out by purposive method and theoretical saturation was achieved with 15 people. Semi-structured interviews and a questionnaire based on a decision matrix were used to collect data. The results of the qualitative section coding were validated using the Holst method (0.81) and Cohen's kappa estimate (0.72). The validity of the questionnaire was confirmed by the formal method and the reliability of the questionnaire was also confirmed by estimating the internal correlation coefficient (0.84). The analysis and coding of the interview texts were carried out using thematic analysis method in MaxQDA 20 software. In the second part, the structural-interpretive modeling method and MicMac software were used to determine the relationships between the structures and modeling. Based on the results of the research, it was determined that the components of legal and ethical requirements of insurance advertising and the use of artificial intelligence in insurance advertising affect the components of segmentation and targeting of the digital insurance market and digital analysis of insurance audiences.through innovation in the insurance advertising strategy affect insurance influencer marketing, localization of advertising in emerging social media, and increased interaction and engagement of the insurance audience.