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Welcome to CaveBits, your source for the latest insights in website behavior analytics, brought to you by Mouseflow. In this episode, we'll talk about how to run an A B test in YouTube Analytics. Let's get started. The competition for producing great quality and engaging content is as steep as ever with many creators turning to videos to give their brands an edge at driving traffic and viewer engagement. Nowadays, everyone is uploading videos in YouTube by the thousands and making the most of its free online sharing platform. A bevy of videos make it to the trending list daily while racking millions of viewers and subscribers, but for anyone eager to get to the top and be part of the select few have made it to the trending lists, finding new strategies to market their videos effectively is crucial. Many brands have opted to bring on the big guns by using site analytics and other third-party tools to better understand user engagement and drive more traffic to their channels. The competition is high, and many creators have started talking about the need to use A-B testing on their videos to measure the effectiveness of their uploads, and make the right timely adjustments without having to wait for negative feedback when the video goes live. So, what exactly is A B testing and how does it make any difference in making YouTube analytics more effective? A B testing is the process of testing two variants of the same thing. In video marketing, this involves comparing two different versions of a particular video to gauge which one does a better job at attracting more YouTube views or engaging an audience. Videomakers need to understand that nowadays, it is no longer just about putting out great content, but being able to market it effectively enough to continue organic growth over time. On top of having great quality content, video thumbnails, tags, and descriptions contribute to driving traffic as well. Oftentimes, having great content with poor video descriptions or thumbnails can spell the difference between getting more YouTube views or not. And that's not the only factor. Having the ability to do an A B test on videos prior to publishing them live to check which version and setups work better for their audience is essential to success. What A B testing for YouTube can look like. A B testing can be in the form of the following Video thumbnail A versus thumbnail B. Since thumbnails are the first thing people see when seeing videos for the first time, choosing the right thumbnail for your video is an important factor to consider. Creators need to make sure thumbnails are interesting enough to get people to actually click on the play button. With A B testing, creators can easily make two variants of a particular video that uses different thumbnails to check which one does better at driving views and playtime. Video titles, tags, and descriptions. A B testing can help creators test which title, tags, and descriptions work best for the video at giving viewers what they need to get more traffic. As simple as having the wrong description can turn people away without watching the content entirely. Having the ability to test this with two video variants ensures the video has all the right qualities to perform better. A and B video uploads. Through A and B testing, video creators can upload two different video variants and test which one may be more engaging to viewers before making it the final version. Rather than wait for feedback when videos become live, A B testing allows them to test which works better so they can make the necessary adjustment to their editing and message delivery for their product or brand. Sadly, YouTube does not offer a feature for A-B testing as of yet for its videos. Brands and companies who are serious about getting their videos to outperform and outlast their competition need to make the most of third-party tools that offer this feature. TubeBuddy, a YouTube analytics company that offers tools to measure key metrics, site analytics, keyword optimization, and competitor tracking has made ways for creating an A-B testing tool that allows creators to check what type of images and keywords are able to drive more traffic to their videos. The A-B testing tool is free and a convenient and helpful tool which can be used by creators to come up with their own experiments around the uploading of test videos to check on performance or engagement factors. Creators can now easily come up with two videos to check which title, description, thumbnails, and tags will work best for SEO purposes in their final video release. These are then tested by TubeBuddy once a day for a particular time period. The results are then tracked and provided to video creators so they can check how these variants measure up against their original video. When all testing is done, a report is made which offers important data on key performance indicators such as views, likes, dislikes, shares, and subscribers. The A B test runs for a minimum of two weeks with seven days for each video variant. This gives each video enough time to get around and for TubeBuddy to obtain enough data to give video creators the means to decide what variant they'll stick with for the final release. In essence, A-B testing gives creators actual insight based on collected data to make better decisions on which thumbnails, tags, and descriptions work best at driving traffic to their content. This goes a long way at ensuring only the best videos make it live, which helps them save on costs and time as well. In conclusion, with the emergence of video as a new powerhouse in online marketing and the rising cost of video creation and production, banking on your videos' potential to generate user engagement and traffic is easier when you have analytics and A-B testing tools to ensure you are in the right track to success. New and changing trends in the market, which include the surge of different SEO strategies, means that getting your videos to the top has evolved and now goes beyond just producing great content. Video creators need to learn to think of the bigger picture and find the means to understand what their audience is looking for in terms of engagement and getting more traffic.com