Brian Ley

And you're looking at a pattern.

So in retail, it'd be like who buys shoes after who with the dating app, it would be who opens Bumble after who, right?

So you open Bumble, then I open Bumble and we live in the same city.

And then you open Bumble, then I open Bumble.

And then you open Bumble, then I open Bumble.

You could say, hey, maybe this isn't random.

Maybe these guys are looking at Bumble together.

So how that applies to B2B is it could be very similar.

We actually haven't ran tests on it.

I spoke at the Customer Success Summit last week, and it was my first sort of experience sharing this with people in the B2B space.

But I completely...

have absolute 100% faith that someone will figure out the data set.

Here's the limiting factor, the data set to figure out how to map networks and B2B.

It could be a data co-op, it could be someone that already has the data like Salesforce, but in essence, you can't track this sort of influence directly.

That's why you use the historical timestamp data.

So we can't track exactly how people are talking about Zappos shoes in the bathroom.

But we could look at Zappos' data and track how they're spending it and what the order they're buying it in.

What?

Uh, so Donald Trump is, is memetically hacking and there's, I posted a blog, blog article on this.

He's memetically hacking people's brains, right?