Viral marketing

As viral marketing as a factor influencing customer behavior is a new tool that encourages people to comment on companies' products or services online and brand promotion is also one of the most important strategic growth strategies for companies, always at the center of attention so The purpose of the study was to investigate the role of viral marketing on behavioral intentions considering brand equity as a mediating variable; this study was conducted in two parts durable and nondurable goods. Confirmatory factor analysis test (LISREL) and Cronbach alpha were used to assess the validity of the questionnaire. Results showed the validity and reliability of the questionnaires. The results of the LISREL structural equation show that brand equity is viewed as a mediator in the relationship between viral marketing and behavioral intentions. On the other hand, viral marketing has a positive influence on word of mouth marketing and intention to buy and a negative influence on brand change. It turns out that the most influential marketers in the lives of consumers are those who are known and trusted by their consumers. Nowadays consumers usually suffer from a massive influx of information and go through expensive advertising so people decide through word of mouth marketing for shopping. There should also be a major investment in brand building, investing in brand’s special value contributes to brand reputation among customers as well as non-customers.

The current research deals with the modeling of value creation process by using viral marketing in line with branding in the banking industry (case study: Tejarat Bank). This research has a mixed approach based on thematic analysis method and is based on the research objective of exploratory type and the method of collecting information from library and field type. The statistical population for conducting semi-structured interviews included professors, policy makers and marketing managers. Sampling was done by snowball method and data analysis was done using MAXQDA software, in total 69 basic themes and 5 organizing themes were extracted. At the technology level, there are six categories of using appropriate tools, channels and technologies, the type of social network and being popular, advertising campaigns, ease of message transmission, message sharing mechanisms, and at the level of message content, there are five categories of message content: creating a positive attitude in the audience, comprehensibility, Innovation in the message, specialization of the message, non-repetition of the message and the quality level of advertisements, six categories of up-to-date information, comprehensiveness and inclusiveness of advertisements, personalization of the message, usefulness of information, value of the message, accuracy of information and the level of credibility, which include the categories of source reputation, expression Making the product is the functionality of the product. In the quantitative section that was done using Smart pls software, the results showed that among the identified components, the correct targeting component with a path coefficient of 0.557 had the highest path coefficient.