This is when you'll need to formulate a hypothesis, such as: "I'm more likely to finish the marathon in under two hours if I maintain a time of 5 minutes and 39 seconds for each mile I run." Similarly, in the planning phase in the company, we suggest you start from a hypothesis or an element that you want to demonstrate during the testing phase. In this scenario, the hypothesis might be: “My Facebook followers are more likely to have a higher average spend.
At my restaurants than those who don't follow me.” If you haven't yet formulated a hypothesis, below I offer you some food for thought for analyzing social media data: Have there been any changes social Job Function Email List metrics? Which social media channels allow you to get the most clicks? In what percentage do these clicks convert into product sales? Have you noticed different usage or engagement patterns based on geographic location.
Are customers in certain regions more active on Twitter than Facebook? Are there frequent cases in which a younger audience is more likely to make purchases on Instagram than an older audience? If you collaborate with an influencer, do your posts record higher engagement metrics? Are there exceptions or unique elements in social media posts? Even if your hypothesis turns out not to be correct, don't despair.