Netflix seems to know what you might like or not like, but they don't always get it right. A new way for rating Netflix offerings will soon roll-out, offering you an easier way to rate what you have just watched. In turn, this gives Netflix information to use when choosing shows that seem compatible with your previously watched content.
As of right now Netflix uses the five-star Rating System for users, but the new rating system will offer a simple thumbs-up and thumbs-down for their Netflix customers. When the company put this thumbs-up, thumbs-down rating system through a test-market, they found an overall increase of more than 200 percent of viewer engagement with this when this was offered.
Chances are...
Five stars can also be confusing at times, or at least it was when using it on Netflix. Now there are only two different ways to say yea or nay to what you just finished viewing. The five-star rating system is traditionally used to rate the quality of a movie or a show, but that is not how Netflix used the five stars. Netflix used that system for compatibility, the more stars the greater the chances the movie or show would be compatible to the other shows you've watched or compatible with your viewing patterns.
Thumbs-up or thumbs-down
This new system will roll-out in April and instead of just offering up a title to something you might like based on your previous viewing habits, it will give you a report card of sorts.
According to USA Today you can expect to see the thumbs-up and thumbs-down option on Netflix as well as a "percent match."
Report card on compatibility
With each title recommended you will see a percentage attached, like 70%, 80% , 90%, and so on. This offers the chances of you liking what they have picked for you. If you see an 80% attached to a show or movie, this means there is an 80% chance that you will enjoy the suggested pr
This Netflix rating system will make it much easier for the viewer to make a choice of what to watch next. It should also decrease early stops while viewing a show or movie, as this new system intends to more accurately pair viewers with content that they want to watch.
