Social media data refers to information from social networks, which shows users' sharing, comments and interactions with your content and personal data. By analyzing these figures, percentages and statistics, we can better formulate social media strategies.
The raw data of social media include: sharing, liking, mentioning, displaying, tagging, webpage clicking, keyword analysis, new fans and comments. These are not comprehensive, but they can greatly optimize social media strategies.
Once social media data is collected, it can be evaluated or analyzed to determine which strategies are effective. Social media data can be regarded as raw data when mining and analyzing social networks. Once you have the data, you can build a social media analysis system to improve the processing of the original data.
If social media data is compared to the ingredients of a meal, how to analyze these data is equivalent to a recipe. Without a recipe, you can't start cooking. When you have a lot of data, you can make more informed decisions.
Marketers and advertisers sometimes come up with many ideas to run their social media, hoping that some methods will work, but this is obviously not scientific enough. In contrast, the effective collection and evaluation of data can more accurately grasp the market demand.