Data sourced from Joe, the private fund performance platform powered by Dakota. Learn More | Request Access
In our last post, we walked through why private fund performance databases cost what they cost: manual verification, broad coverage economics, expensive enterprise sales motions, bundling, switching costs, and a market that's historically had little price competition. None of that is going away industry-wide.
But it doesn't apply the same way to Dakota. And that's not a marketing claim: it's a structural fact about how our business is built.
In this article, we're breaking down why Joe doesn't carry that same cost structure, and how Dakota's pricing actually works. By the end, you'll know why $9,500 isn't a discount, it's a different starting point.
Most Providers Have One Business to Fund One Dataset
Legacy fund performance platforms typically have a single revenue line: the database itself. Every dollar of research, verification, sourcing, and infrastructure has to be recovered from the price they charge for that one product. There's no other revenue stream absorbing the fixed cost, so the price has to carry the full weight of the operation, plus margin, plus the enterprise sales apparatus needed to close six-figure contracts.
That's the economics behind the $30,000-for-three-seats pricing we've talked about before.
Dakota's Cost Structure Is Different
Dakota Marketplace, our core LP database used by fundraisers across every institutional and wealth channel, globally, already funds the infrastructure that makes rigorous private markets data possible: the research team, the daily curation and update workflows, the sourcing relationships, the verification standards. That infrastructure exists and is paid for because Marketplace has been generating revenue from fundraisers for years.
Joe, Powered by Dakota, was built on top of that same infrastructure. We didn't stand up a second data operation from scratch and try to make a brand-new product cover its own fully-loaded cost from day one. We extended a business that already works.
That's the difference between a product that has to price for survival and a product that gets to price for adoption.
See the infrastructure behind the price: request access to Joe.
The Result: Equal or Better Data, Priced to Get Used
This isn't a story about cutting corners to hit a lower price point. Joe covers 18,000+ funds and 159,000+ performance records across seven asset classes, GP and sponsor intelligence on 20,000+ firms, and private company transaction data most databases don't track at all. Every record is reviewed by the same research team standard that powers Marketplace. The rigor doesn't change. The economics behind the price does.
Because Marketplace revenue already covers the shared cost base, Joe doesn't need a $30,000 price tag to make sense as a business. It needs a price that gets it into the hands of the allocators, consultants, and fund managers who've been priced out of this category for years: $9,500 a year for up to five users.
Why This Matters Beyond the Price Tag
Passing that structural savings on to the market isn't just good pricing strategy, it's a bet on volume over margin-per-seat. A legacy provider protecting a single revenue line has every incentive to price high and sell to the fewest, largest accounts that will tolerate it. Dakota, with a cost base that's already covered elsewhere, has the opposite incentive: get the data into as many hands as possible, because the infrastructure is paid for either way.
That's the real story behind Joe's price. Not a discount. Not a loss-leader. A different starting position: one where the cost of doing this well was solved years before this product existed.
Request access to Joe to see what that pricing gets you.
