If you're seeing this video then your FYP is probably plagued by endless YouTube automation gurus preaching how easy it is to print money with faceless YouTube shorts.

Well, I want to find out if what they're preaching is true, so I've been trying it and today I'll show you the results. Welcome back to the YouTube automation series where I try and launch my own YouTube automation channel from scratch, all on my own with minimal financial investment to see if it really is possible. If you haven't seen the other episodes, then head over to my page to catch up, but today, I'll be showing you the results from the first few videos that we posted to the channel. So, first up, here's the views and as you can see, some did better than others. Interestingly, the one with a mix of normal video and AI generated video seemed to do the best. Next up we have the views vs engaged views; which is important, because only the engaged views count towards monetisation. Basically all this means is people that stayed to watch vs people that swiped away within the first few seconds; and if this number is low then it's usually a problem with your hooks. As you can see, we have an average of about 70% that stayed to watch. But apparently this is about the lowest that you want, aiming for about 85-90% as the goal; which tells me that we could improve our hooks. But now, we'll look at the really important part that will help us improve our videos going forward. That is retention graphs. Now you want these graphs to be as flat as possible, and just to prove my point, you can see that the video that performed the worst in views also had the steepest retention graph. Most of the graphs started off super strong, sometimes as high as 140 percent; and that's because I used a technique that seamlessly looped the end of the video back to the beginning, here's an example: But maybe the better question is, why are we so morbidly curious to ask questions like, What does HUMAN taste like? We had some drop-off during the videos, usually in places where I went slightly off the main topic, but the most notable drop-offs are actually at the end of the videos; and this could be for a few reasons. Either it's too obvious that the videos are ending and people are swiping away to the next video once they feel like they've seen enough. Or, the videos are just too long and people are getting bored. Someone actually pointed this out in a comment on the last episode, and I think they might be right. According to some research I've seen; shorts that are between 13 to 60 seconds seem to perform the best. So, some things we did well and some things we can improve; But that's exactly why I started this series. I'm not trying to sell you anything, and I don't really know what I'm doing, BUT, I'll learn along the way and this series will document EVERYTHING that I learn so that you can learn along with me. So if that sounds like something you'd like to see, then drop a like and comment for the algorithm and press the follow button to follow along with the journey. In the next episode, we'll discuss how we plan to move forward with future videos, and discuss some potential problems that have been on my mind recently... See you there.