The marketing possibilities on the Internet is growing and so are social media marketing. The budget devoted for marketing activities on social media is constantly increasining every year and the time users are spending on social media is also increasing. Among the increasing activities comes a vast amount of data which create endless of opportunities for companies to optimize their marketing activities. In marketing the most important has always been to know your customers and how to reach out to them. The Internet and data that comes with it has made it possible for companies to get to know their customers even better and to reach them with more precision if data is correctly used. A gap was identified from the litterature search which showed that it is not always clear how to utilize social media for marketing and it is not easy to analyze and interpret the data derived from social media. This has lead to a lack of knowledge on how data can be used for social media activities. From the identified gap regarding data usage in social media marketing, a research question was formulated: “How is data used in brand’s strategies for social media?” A qualitative research design conducting semi-structured interviews was used to examine the research question. A purposeful sample of eleven respondents, defined as experts within the research field, from ten different companies was selected. A pilot study was carried out to get insights in the identified gap, to set a base for the theoretical framework, and to optimize the interview questions. All respondents represented agencies except for the respondent in the pilot study. Academics and business communities are interested in how data is used in marketing purposes and therefore it was elaborated further in this thesis to how data can be used in social media activities. Branding activities are becoming more engaged with its customers, thus marketers need to keep up to date with the new and emerging trends. Furthermore, the aim was to explore how data is used in social media marketing and how data affect decisions in social media strategies. The results found in this study shows that data is used to define audiences on social media and to enable a greater reach of the messages for the audiences. The audience is defined by data analysis mostly based on consumer behavior in social media. To achive reach marketers use programmatic buying tools, which are based on data and ultimatley enables conversions among the audience. Data is also analyzed by opinion mining where data insights can show what topics customers are engaged in. Data insights can further give direction on how content can encourage engagement among the targeted audience. Lastly, the result shows that it is important to have knowledge about how to analyze, interpret, and use data insights in order to create successful social media activites.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:umu-139211 |
| Date | January 2017 |
| Creators | Grönlund, Sophie, Schytt, Tommy |
| Publisher | Umeå universitet, Företagsekonomi, Umeå universitet, Företagsekonomi |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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