Paul Lappas

They, they, they, they experience a lot of pain and we're, we're there to help them help them make that transition away from the traditional data warehouses like Oracle and Teradata.

And so we've been really excited to find that niche for ourselves because obviously there's a much higher ACV customers and a much better market segment for us.

Um, we, we do, um, our, our CAC at this point, um, is, you know, South of 10, um, of 10 K. Um, our, you know, the, the nice thing about our business is that we can sell it over the phone, um,

Typically customers will make a decision.

There's a free trial and they'll make a decision in about two weeks, two to three weeks of whether to buy us.

So our end to end sales cycle is south of two months at this stage, even for the larger customers.

We constantly want to try to increase prices, but you always want to make sure

With those economics, we're really confident that we're at a good spot for additional venture rounds and it's healthy business.

Yeah, we're always trying to get the CAC up.

the cackdown.

The way that we find customers is in two ways.

One is they find us through content.

We publish a lot of content about data lakes, performance monitoring, visibility through a blog post or a white paper that we've written.

And then we're also reaching out to customers that we know are using Amazon Redshift.

How do you know that?

That's a really good question, Nathan.

So

it turns out the word redshift is pretty not common in job descriptions.

And so if you scrape indeed, for example, you can kind of figure out which companies are using it.

So you have scrapers that go out to job boards and then they collect company names.