u/Brilliant-Shift4015

I used to treat the background footage in Reddit story videos as basically filler.

I would spend most of my time on the story, hook, voice, and captions, then just put some random satisfying clip or gameplay behind it. My retention usually topped out somewhere around 55–60%, even on videos where I thought the story was pretty good.

Then one day I spent about an hour building an actual library of background clips instead of choosing whatever I could find quickly.

I mostly looked for satisfying worker/process videos and food ASMR. Stuff like cutting, assembling, decorating, cleaning, restoring, cooking, or making something where you can clearly see progress happening.

The next Reddit story video I posted got around 75% retention. That was the highest I had ever gotten by a pretty big margin.

Obviously, one video isn’t enough to prove that the background footage caused it. The story, hook, audience, posting time, and a bunch of other things could have affected it. But the jump was big enough that I stopped thinking of the visuals as something you just throw behind the narration.

A few things I noticed about the clips that seemed to work better:

• You can understand what is happening almost immediately
• There is constant progress instead of someone just talking or holding an object
• The clip creates its own small curiosity loop because you want to see the finished result
• The movement is satisfying without being so distracting that you stop listening to the story
• There aren’t long stretches where nothing changes
• The captions are still easy to read over the footage
• The best part of the clip doesn’t happen within the first two seconds and then become boring afterward

I also think the footage needs to have some kind of visual direction.

For example, watching someone decorate an entire cake gives you a reason to keep looking because you want to see the final result. Watching someone randomly move food around a kitchen doesn’t have the same effect, even though both technically count as food footage.

The same thing applies to worker videos. Cleaning something, restoring something, cutting material into shape, or assembling an object usually has a clear before and after. A clip of someone doing a repetitive task with no visible progress can get boring pretty quickly.

I’ve started sorting clips based on things like:

• Does the action begin immediately?
• Is there a visible end result?
• Is the movement fast or slow? (*usually I put the clips all at like 1.7x speed because tiktok and youtube shorts people have horrible attention spans)
• Can I put captions over it clearly?
• Does it stay interesting for at least part of a full story?
• Is it interesting without competing with the narration?

I’m talking about footage you have permission or a license to use, not just ripping random creators’ videos.

I still need to run a cleaner test where I use the exact same story, voice, captions, and length but change only the background footage. That would make it easier to tell how much of the retention difference actually came from the visuals.

Has anyone here tested different types of background footage with the same story?

What has worked best for you: food ASMR, cleaning, restoration, workers making things, gameplay, or something else?

Also, do you think the jump from below 60% to 75% was probably because of the footage, or could it have just been a lucky upload?

One thing I think a lot of people do wrong with story videos is looking at the final view count and deciding the whole video was either “good” or “bad.”

That doesn’t really tell you what went wrong.

A better way to improve is to open the audience retention graph and match the drops to the actual sentences in your script.

I usually think about it like this:

• If people leave immediately, the hook was probably unclear, too slow, or gave them no reason to care.
• If they stay for the hook but leave during the setup, you probably added too much background information before getting back to the conflict.
• If there is a drop right after the first big reveal, the reveal may have answered the main question without creating another one.
• If the graph slowly declines the entire time, the pacing may be too repetitive. The story is technically moving forward, but every section feels the same.
• If there is a spike or people replay one section, it could mean that moment was really interesting. It can also mean the sentence or visual was confusing, so people had to watch it again.
• If people leave right before the ending, they may have already predicted the payoff.
• If retention stays strong near the end, that usually means viewers still expect an important answer or consequence.

The useful part is matching this to the transcript instead of guessing.

For example, put timestamps next to every sentence:

0:00 - hook
0:04 - context
0:10 - first problem
0:18 - reveal
0:26 - reaction
0:35 - second complication
0:47 - ending

Then look at where the graph changes.

If there is a major drop at 0:10, don’t immediately rewrite the entire story. Look at what happened around that sentence. Did you pause the conflict to explain someone’s job? Did the captions become too long? Did the story answer the only interesting question?

I also think it helps to change one major thing at a time. If you rewrite the hook, change the background footage, replace the voice, and shorten the story all at once, you won’t know which change actually helped.

Has anyone here actually mapped their retention graph back to the script like this? What kind of drop do you see most often: people leaving immediately, during the setup, or right after the first reveal?

I think one of the biggest reasons AI-generated story videos are bad is that people ask the model to do everything at once.

They’ll write:

“Create a viral 90-second Reddit story with a strong hook, drama, good pacing, a twist, and an engaging ending.”

That is asking it to come up with the premise, characters, hook, escalation, dialogue, pacing, twist, and ending at the same time.

It usually gives you the most average version of every one of those things.

I’ve had much better results splitting it into steps.

First I collect transcripts from story videos that performed well. I usually get the captions and keep them together in a Google Drive folder.

Then I ask ChatGPT or Claude to analyze them, but I specifically tell it not to copy the plots. I want it to look for patterns like:

• what information the opening gives away
• what it holds back
• how quickly the conflict starts
• where new information is revealed
• how often the situation changes
• how the story creates another question after answering the previous one
• how the ending creates consequences or debate

I also ask it to identify what the successful stories do that normal AI-generated stories usually miss.

After that, I use a separate process:

1. Generate 20 one-sentence premises
2. Score the premises before writing anything
3. Turn the best premise into a list of story beats
4. Check the outline for plot holes
5. Generate multiple hooks
6. Write the full draft
7. Remove sentences that don’t change anything
8. Run a believability and retention check

The important part is that I don’t let the model immediately commit to the first idea it generates.

Here is a version of the analysis prompt I’ve been using:

“You are analyzing transcripts from high-performing short-form story videos. Do not copy, rewrite, or imitate the plots. Identify the transferable storytelling patterns across the examples.

Look at the hook, pacing, conflict, reveal placement, sentence structure, dialogue, character motivation, specificity, escalation, retention devices, and ending.

Explain what information is shown immediately, what is intentionally delayed, and what question each section gives the viewer a reason to keep watching for.

After analyzing all examples, create a checklist for evaluating an original story. Also identify common AI-writing habits that would make a story feel predictable, fake, or overly polished.”

I’m still adjusting the process, especially the part where I decide whether a premise is actually worth writing.

How do you guys judge an idea before spending time making the full video? Do you have a checklist, or do you mostly go off whether the first sentence sounds interesting?