Hello, again! This is the third part of our four-part series on pricing data products. So far, we have discussed the methods to price data as well as a a framework to thoroughly understand customers and what value a data product is actually delivering to them. In this installment, we will discuss nine (9) different price-to-value tradeoffs that determine how a given data product will compare to a customer’s maximum willingness to pay. Many of these value drivers are influenced by customers expectations, i.e. what are minimum requirements or benchmarks for data products of a given type.
Read on for more on how to price data! As always, subscribe to our blog to stay informed and continue on below for detail on the nine pricing levers of a data product.