In business-to-business situations (e.g. enterprise software) there is often enough price variability in the history of real won / lost bids to model the price elasticity of customers for each product line. And in other situations where historic data is lacking, or price variability is limited, we use survey based choice scenarios to collect price elasticity data. By either means, we are able to quantify the customer "calculus" of brand, price, and feature tradeoffs to recommend optimal bundling and pricing strategies to our clients.

We have a Demand Optimization™ methodology whitepaper and case studies available for download for B2B, Software, Technology, Insurance and media companies.  Click to download