Sean Cannell

He's about to hit like 12 plus.

And so-

The thing that's interesting, though, is as he's moving into content, he's like, okay, what are people searching for?

Even if that's not as much how YouTube works, the term still matters, even if it's going to be suggested in the algorithm.

So it's not that they would type this out, but what's their intent?

What are they looking for?

So on the one hand, it's like, okay, roofers.

That's sort of a bucket that's part of his keyword universe.

Another one would be...

service would be construction workers.

Another ones would be contractors.

And so you go on down the list and by the time you build out your keyword universe, there's probably going to be 30 super relevant terms.

another 30 that would be interesting to play in, and then probably 100, depending on what industry you're in.

These are like little angles on it, which way, and then it's sort of an extension of what would the problem specifically be that people are trying to solve for.

Right.

You know, so it's just kind of like layers of depth.

And then as a result, we got a little bit, that's a little bit gangster.

Like we went kind of deep there.

It's a little bit advanced, but it's like, then you take that all the way back to just reverse engineer research

That then would become a part of your process.