Distribution as an asset class

Distribution as an asset class is the thesis that a customer base, and what its behavior reveals, can be valued, bought and sold on its own, separate from the product or company that built it. As software becomes cheap to build, access to customers becomes the scarce asset, and buyers price it directly.

Worked example: the purchase log

DateBuyerBoughtWhat it gave the buyer
May 2026Constellation SoftwareKeypoint IntelligenceThe benchmark an industry measures itself against
Apr 2026OpenAITBPN, a daily tech talk show (58,000 YouTube subscribers; price reported in the hundreds of millions)A permanent seat in the room where the industry talks
Mar 2026Beacon SoftwareRealEstateAPI (property data on 150 million US homes, 300 paying companies)The data layer under a market
Feb 2026HubSpotStarter Story, a newsletterAn audience of founders
2024MastercardRecorded Future ($2.65B)Sight of threats before they land
2023ICEBlack Knight (about $12B)The life of every US mortgage
2021HubSpotThe Hustle, a newsletterAn audience of operators
2013MonsantoClimate Corp (about $1B)Every field it sold into

Per subscriber, the TBPN deal looks absurd. Per room reached, it is cheap.

How it differs from

  • The creator economy. Creators monetize an audience with ads and sponsorships. The asset-class view prices the audience itself, and what it reveals, as something a buyer acquires.
  • Goodwill. Accountants book goodwill as what is left over after a deal. Distribution as an asset class says the customer base is often the main thing being bought, and should be valued first.
  • Owned versus rented reach. Followers on a platform can vanish with an algorithm change. Only direct relationships, such as an email list or a firm's client book, behave like an asset.

Questions

How do you value it? By how hard the customers are to reach and what it costs to win them any other way. Scientists, lawyers and enterprises are worth more per head than students or early adopters.

Does it survive the sale? Partly. Trust is tied to people, so earn-outs and better service bridge the transition. The firm's processes and data move with it.

Who buys it? AI labs, serial software acquirers, AI rollups and private equity, and increasingly for the data behind the customers rather than the revenue.

Origin

Set out by Viktoria Izdebska in Who's Buying Distribution (And Why) (29 June 2026) and at Dis·tribution.