Richard Purcell

So to date, we've been revenue-backed, but we're in the process of raising our first venture round.

Yeah, like bootstrap.

So we were using revenue that we're getting from our customers to maintain the business.

So we're primarily working with B2C organizations.

And the biggest problem that we're seeing is that leading brands want to be able to measure their business, their customers, and campaigns on LTV.

Because if they know exactly how much a customer is going to spend in the future, it'll inform their marketing investments, forecasting, and general health of the business.

But the biggest problem is they don't have the data and past purchase data alone does not predict the future.

And third-party data has always been unreliable and it will soon cease to exist with all the changes and rules and regulations.

And so what Ocreate does is we bring in external privacy first data on every adult American's in-depth behaviors and attitudes.

And when we match this database with a brand's customer data, the outcome is a 90% plus accurate LTV prediction at the individual level, which helps brands make the right investments and the right customers throughout all phases of the lifecycle.

Yeah.

So we're primarily working with mid-sized direct-to-consumer brands between $10 million to $500 million in revenue.

And the way that we price is based on the size of the database.

And that's between $6,000 to $10,000 a month.

By number of leads, existing customers, and lapsed customers.

Yeah, it's either like number of customers in the database.

And we hope to grow as the companies grow.

But also, you know, we're working with a publicly traded company where one of their divisions, we're predicting their LTV at the individual level.

And now we're going to expand to other divisions as well.

Yeah, so the backstory is the company was spun out of a previous company called PredictWise.