MKTG 345 week 6 You're Probably Already Familiar with Analytics

Analytics is taking data and interpreting what it means. Analytics sounds scary and it can be overwhelming and challenging, but there are things you analyze everyday without even realizing it. An example of this is any time you post something on social media, you get views or likes and that’s a form of analytics, seeing who is interested in the things you post. You also can use this information to compare if you are really as funny as you think you are, based on comparing your expected number of likes with the number of likes you actually got. 

One of the biggest sources of analytics data is SnapChat, you may not even realize it but every interaction that occurs on that platform gives you a little bit different data, and you probably make some conclusions based on what it is telling you without even realizing it. 

Any time you send someone a Snap Chat it tells them what time they received it, and when they view the chat you can see what time they opened it.

Here you an see how many seconds ago the snap was received, which is 19 or 20s. You can also see that one person (the second on the list) opened it just now.

SnapChat also gives you the ability to know how many all-time snaps you have sent as well as received. Here you can see that I have sent 73,107 and have received 67,714 in the total amount of time I have had this app. 

SnapChat has a feature called streaks, this tracks the amount of days in a row you have snapped someone and they have snapped you back. The number to the left of the emoji fire is the amount of 24-hour periods you and someone have gone with at least snapping each other once. 

Another analytics like feature is stories, this is a post any of your friends can see for 24-hours and it tells you a list of the people who saw it in the 24 hour period. This is like being able to see the amount of daily views your website gets. 

A lot of these “metrics” are similar to features on Google Analytics. It is not necessarily the same, and it is not very important information. The purpose of this comparison was to show that analytics is not as scary as it sounds, and just like any platform at first it might be tricky to navigate, but with some practice you can master it.