Nir Weingarten

automated A-B testing.

So it's called reinforcement learning, but it's actually the next iteration of A-B testing.

It's more or less the same thing.

It's like A-B testing that just scales.

And so I think for a lot of marketers, this is a very intuitive concept, both on how it works and the need for it, because people are really waiting a long time for that to happen.

And on the marketer side, basically we try to make the product integrate into the existing workflow that people have.

So, and you want to make this as frictionless as possible.

Nothing is a hundred percent frictionless, but

You don't change your tech stack.

You remain with the same tech stack that you have.

You go about your day the same way.

The minute you hit send to that email campaign or flow, you're going to be prompted by the system.

It's going to create a Slack message.

You're going to get that on Slack saying, hey, here's 20 variations the system created and select the ones that you like the best.

This is what the system recommends.

These are the pieces of candy the baby would like to try out.

And you select the ones you like and then these go out to see how tasty they are.

So it creates another step in your day when you don't just send out an email, you have to select the variations each time.

Thank you.

And basically, we can serve any B2C business and that's large enough to have enough data for the system to learn.