I help hundreds of technology buyers each year to understand the impact of technology changes on their software contracts, but I also get questions from software providers about how best to price their products. Some are bringing new products to market and want to know how to maximize revenue, while others are struggling with obsolete metrics such as per processor and want to update their pricing for the modern mobile, cloudy world. The answer is usually to find licensing metrics that make their pricing value-based while balancing simplicity and fairness. The more value a customer gets from your product, the more they should be willing to pay for it. If you make your pricing too simple then you won’t match value sufficiently closely, which will cause you to price yourself out of some deals and leave money on the table in others. If, OTOH, you try to match value too precisely you risk making your pricing so complicated that buyers will reject it, and you, completely.
For example, suppose you have a product that will help people do their jobs better, so you decide that charging for each user will be a good approximation for value. The potential problem is that not everyone will use your product the same, in terms of depth of functionality and/ or frequency of access. Your single per user price will be unfair to companies with long tails of light, infrequent users, for whom you’ll therefore be too expensive. Conversely your pricing will be unfair to you when the customer is mostly power users. To make your pricing fairer you could have different prices for different categories of user, but then you risk being criticized for being too complex.