11/08/2026
Most companies I speak to know their data has value. Far fewer know what to charge for it.
We’ve spent a lot of time at Alternata working on exactly that problem, and I’ve pulled what we’ve learnt into a new practical guide: Pricing Data Products.
The central idea is fairly simple: data shouldn’t be priced based on what it costs you to produce. It should be priced based on the value it creates for the buyer.
The book covers the frameworks we use in practice, including:
the Value Ladder, moving from raw data to insights, decisions and actions
a valuation framework for putting a defensible price on a data product
different commercial models, from subscriptions to revenue share and performance-linked pricing
how privacy, governance and trust can actually increase pricing power
One of the biggest lessons for me has been that building the data product is often not the hardest part.
Hopefully this makes that a little easier.
