u/Nearby_Court2448

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anyone who knows how this works please explain ?

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The inconsistency, after 2 years, was seriously getting on my nerves. Not the hooks, not the editing, not the posting schedule - all of which had reached an acceptable point after years of smashing your head against the wall - but too many videos were dead at 200-300 views without me having absolutely any clue why they had failed, and the few winners were just barely keeping the operation running with an abysmal win rate.

What I was too slow to realize, was my entire strategy was based upon what I thought was true, after hundreds of iterated videos, but I was optimizing on what I could see in a primitive analytic tool - and in general analytic tools are seriously lacking information. View watch time, view count, watch engagement...These were just metrics of what happened after the fact, for a dead video in analytic tools the metric of watch time was only the lost opportunity to understand the information you wanted, I started looking at the first 10 seconds specifically and after analyzing frame by frame retention graphs of dead versus successful videos you are able to really see exactly what killed the video. The algorithm really takes anywhere from 5-7 seconds to start truly estimating whether to promote a video, and unless you're above 70% retention in the first few seconds and over 25% watch time with a watch pattern that indicates a watch that had to be more than the hook then the video likely won't be going viral.

For all practical purposes this has taken the guesswork out of determining what is killing my videos. I can now see exactly where and why a user left (""He left at 6 seconds because the video went static for 1.8 seconds"" as opposed to ""He left at 40% watch time"") and it will literally revolutionize every video I ever create in my career.

The improved hit rate is starting to show in month-to-month analytics, not instantly like a magic spell, but with the information available to make better, more informed decisions the most time-consuming and expensive mistakes of my career are no longer going to be nearly as common and the compounding effect of this will be monumental on a daily posting basis.

If you've been doing content creation long enough that you have your editing down to a skill level beyond novice, but your views aren't matching your ability then you likely have an information problem; what your average content creator uses for data gets you the outcome of a video, not necessarily the data that produced it.

EDIT: the app I used was this if anyone was wondering

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"After 2 years this inconsistency was getting on my nerves so bad. Not the hooks, not the editing, not the posting schedule. All of which, were decent after this amount of time beating your head against the wall. But it was too many videos dying out at 200-300 views with me having absolutely no idea why they died out. The few that succeeded kept the whole operation afloat but the win rate was abysmal.

The issue I took too long to figure out was that my entire strategy was based upon what I felt was true, based upon hundreds of iterated videos, but I was optimizing on what I saw in a crude analytic tool and in general those analytic tools have a massive deficit. Watch time, views, engagement – these are metrics for a video after the fact and for a dead video on an analytic tool the metric is just the lost opportunity to understand why.

Thus, I started analyzing what happened in the first 10 seconds of a video specifically. Through frame by frame retention graphs of successful versus dead videos, you are able to identify what killed a video. The algorithm takes around 5-7 seconds to truly begin determining how likely it is to promote your video and if you do not achieve >70% retention in this window and >25% rewatch with a watch pattern indicative of something beyond merely the hook, your video most likely will not go viral.

Practically speaking this means that I'm no longer attempting to guess at what killed the video. I see directly when a user left and why (“He left at 6 seconds because the video went static for 1.8 seconds”) as opposed to (“He left at 40% watch time”). This entirely revolutionizes every video I will ever make again.

This improved hit rate has started showing on a month to month basis; not instantly magically but with information that leads to more informed decisions, the most time-wasting, expensive mistakes of my career are rapidly decreasing in occurrence. This compound effect could prove massive on a daily posting basis.

If you’ve been content creation long enough to get competent editing and your results are not on par with your skill level then you likely have an information deficit issue; what a normal content creator is using gives them the result of a video but not the exact information that led to that result.

EDIT: the app used here was this if anybody was curious"

After two years into it and the inconsistency was gnawing at me. Not the hooks, not the editing, not the posting schedule. Those are all good by now after two years grinding. It was that a lot of my videos were dying at the 200-300 view mark before I even found out what was making them die. I was able to ride some Winners, but I had a low hit rate.

What I was slow to even consider checking was my whole content strategy, based on the whole lot of videos. I felt my strategy was good after hundreds of videos of grinding. But I was optimizing my content strategy based on the basic analytics that I could see. The problem with those is they are always measuring what happened after your video either lived or died. There is always too much of a gap by the time I can pull up a dead video and look at its statistics.

I started to pay attention to just what happened in the first 10 seconds of the video. The frame by frame retention pattern of the Winner videos versus the dying videos. You learn what it looks like to see the patterns. There is a window that the algorithm uses to decide if the video is actually good between about 5 seconds and 7 seconds into the video. I learned that if your watch time is 70%+ through that 5-7 second mark, with 25%+ of people rewinding the video, with consistent rewatch patterns showing the person actually enjoyed it rather than just scrolled by the eye-catching hook-those videos usually go far.

So what really changed for me was that I stopped wondering why my videos died and I started seeing the actual times in the videos that people were leaving at. "People left at 40%" vs. "people left at second 6 because that one part of my video stayed static for 1.8 seconds". Those two statements and how you perceive them change how I make every video.

My hit rate has gone up to a level that shows up in the statistics on a monthly basis rather than day to day, but my decisions I am making when I upload the video now feel like a gamble that is being bet less often. Over two years with my kind of posting schedule it has started to build up.

Basically if your at this long and can edit decently, and still don't feel like your producing at a rate your supposed to-it is probably because you have an information gap. Analytics are good and useful, but most of them show you what happened to your video after it either lived or died; they don't show you the moments it died.

EDIT: the tool I used was this app if anyone was curious