Sampling Information Goods: How Much Should Be Free?
This paper examines optimal sampling and pricing of information goods for firms that generate revenues from both sales and advertising. We develop a model where the demand for paid information goods is influenced by the sample portion that the firm offers for free. Taking into account the consumers’ initial valuation and experienced quality of the free version, we characterize the firm’s optimal sampling and pricing decisions. We find that the effect of advertising revenues on optimal sample portion and price depends on expected and experienced quality.