The outlier method: how to find videos that beat their own account

If you study viral videos by looking at the biggest numbers, you mostly learn which accounts are big. A creator with millions of followers gets views on almost anything. What you want is different: the videos that did far better than that same account usually does. Those are outliers, and they point to a format that worked on its own.

The rule: 3× the account’s own average

An outlier is a reel that got at least three times the average views of the account’s recent reels. The ratio removes the size of the account from the equation. A reel with 175,000 views on an account that usually gets 30,000 is a stronger signal than a reel with 2 million views on an account that usually gets 1.5 million.

Don’t ask “what got the most views?”. Ask “what got more views than it should have?”.

How to run it, step by step

1. List 15 to 30 accounts in your niche, plus a few adjacent ones. Mix sizes: small accounts often have the clearest outliers.
2. Open each account’s Reels tab, where Instagram shows the view count on every reel.
3. Take the last 12 to 18 reels and note their views. Skip pinned reels: they are usually old hits and skew the average.
4. Compute the average, then divide each reel’s views by it.
5. Keep every reel at 3× or more. That is your shortlist.
6. Write down the format, not the topic: the opening line, the beats, the visual style, how it ends. A reel about a TV and a reel about your product can share the exact same structure.

A real scan: 27 US accounts

On November 2, 2026 we ran this method on 27 American accounts across tech, business and science, then on a second batch of US media accounts. We looked at the last 18 reels of each one. Here are some of the outliers it surfaced:

Views as displayed by Instagram on the day of the scan. They keep moving after that.

Notice the 175 k line. On raw views it would never make a “top viral videos” list, yet it did more than five times its account’s usual result. That is exactly the kind of format worth copying, because it didn’t need a huge audience to work.

Does it actually find formats?

We tested it on accounts whose formats we had already studied by hand. A first scan on October 31 covered 19 accounts and re-found 9 formats we had already identified as winners, without being told about them. It also surfaced accounts we had never studied, like the 3.8-million-view TV hack story.

Mistakes to avoid

• Copying the topic instead of the format. The topic was the creator’s. The structure is what transfers.
• Trusting one reel. If a format shows up as an outlier on two different accounts, it is a much safer bet than a single hit.
• Counting pinned reels in the average. They are old hits and inflate it.
• Ignoring news spikes. A reel that rode a breaking story can look like an outlier without the format having anything to do with it.

From outlier to your own video

Once you have the format, the work is to rebuild it around your idea: same kind of opening, same beats, same pacing, your topic. That adaptation is where most people get stuck, and it is what Vimode does for you, starting from formats that went through this filter.