Social media

Social media content is information, and so are engagements such as views, likes, demographics, shares, follows, unique visitors, comments, and downloads. So, in regards to social media and Big Data, they are interrelated. At the end of the day, what matters is how your social media-related efforts contribute to business.

One notable example of Big Data possibilities on Facebook is providing insights about consumers lifestyles, search patterns, likes, demographics, purchasing habits, and so on. Facebook stores around 100PBs of data and piles up 500TB of data almost daily. Considering the number of subscribers and data collected, it is expected to be more than 60 zettabytes in the next three years. The more data you have, the more analysis you can have with sophisticated precision approaches for better Return on Investment (ROI). Information fetched from social media is also leveraged when targeting audiences for attractive and profitable ads.

Facebook has a service called Graph Search, which can help you do advanced searches with multiple criteria. For instance, you can search for people of male gender living in Ahmedabad who work with KNOWARTH Technologies. Google also helps you refine the search. Such searches and filters are not limited to these; it might also contain school, political views, age, and name. In the same way, you can also try for hotels, photos, songs, and more. So here, you have the business ROI of the Facebook company, which provides Facebook ad services which can be based on specific criteria such as regions, interests, or other specific features of user data. Google also provides a similar platform called Google AdWords.