How does A/B Testing work?

    When trying to get your content out to the public, there is always the question. What is the best way to get my content the most views or engagements? One of the best way to figure that out is something called A/B testing.  

    A/B testing is something that you can do for anything. It can be something where you post two different platforms with the same article, but this gives you the opportunity to see which one is getting you the most engagements. An example of this would be posting your product with an ad on Twitter, and then posting the same product on Instagram, and then checking out the sales that were bought using each link. This is a very important test to people who are trying to find the best platform to use.

    When using A/B testing, something that is very important is the headline. If your headline is something that isn't going to catch the attention of the consumer or audience, it is going to get less clicks. Making sure that there is a strong headline is going to help you find out which is going to be more popular. 

    An example of A/B testing that is very popular and continually gives strong data results is Electronic Arts which is a video game company. What they do is they will post a game on their marketplace, and then give you the option to buy different versions of the game. An example of this is NHL 21. When they post the game, they will give you the option to buy the regular game for $79.99, or buy a different version of the game with a couple extra ad ons, for $99.99. By doing this, it will give them the information for future games on whether or not people will purchase the game extras, or just like the buy the regular version. Another example will be if you pre-order the game, it will give you a 20% off. This will help them find out if people have interest in the future games, along with give them the opportunity to get data on it. 

    A/B is a very strong way to gather data without doing a whole lot. For any company that is interesting in finding better ways to calculate their engagements and data this is a great way to do it!