This project helps in identifying the most important factors that the consumers look out for in a travel blog or post created by the social media influencers, identifying these factors will help the travel bloggers and travel industries invest more money and time on the content that interests the consumer rather than what the consumers are least interested in and gains consumer interest and loyalty towards travelling more, this research can also be an opening to machine learning in creating contents for motivating the consumers to travel more and help the tourism industry gain insights on what makes their consumers travel more. The quantitative research method will be applied to gather the inputs for this project, there will be two recruitment process taking place in this research, firstly, the selection of social media influencers based of the content and niche they share (e.g., travel bloggers, travel vloggers, travel experience reviewers, travel photographers). They will be asked for voluntary participation in this research with the benefits of gaining the overall result of this research to amplify their content further. The followers of the social media influencers will also be recruited for this research for voluntary participation, social media influencers can request online feedback through the survey that will be filled out by the participants which would engage them for about 5 – 10 minutes (Mugenda, 1999; Evans and Mathur, 2005). Also, a lucky draw contest will be conducted for the participants who completed the online feedback with rewards on travel packages, to encourage participation. The data collected will then be tested for correlation with the consumer's interest to understands the factors in the content that interests the consumer the most.
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