The full paper is available at https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4788687.

In the digital marketplace, a prominent feature of software products and digital services is the implementation of dynamic pricing mechanisms that are fine-tuned by consumer preference data. To fix ideas, consider a streaming service provider offering access to a library of entertainment content. Consumers are uncertain about whether the streaming library contains movies or shows tailored to their preferences but can become convinced of the service's value from finding content that resonates with their tastes. On the other hand, the pervasive collection of consumer data enables the streaming platform to predict whether the content matches a consumer and forecast the consumer's private experience. What pricing strategy the seller would take to leverage the buyer's ability to learn and data on buyer taste, and what are its welfare implications?