The Math Problem or “How to find the right price in B2B environments?”

In economic textbooks, you’ll find scientific/mathematical information about pricing, including price-response-curves, price elasticities, and, of course, the profit equation. 

And they are all highly relevant – good pricing is the application of this science.

But for many B2B pricing situations, a lot of this science is very difficult, if not impossible, to apply. You cannot simply run huge customer surveys and extract customer value and customer willingness to pay with sophisticated market research methodologies like in a B2C environment. And in many cases, you do not have thousands of transactional data sets to apply advanced statistical and machine learning algorithms to determine and forecast your customers’ behavior.

That’s why we developed a set of methodologies for B2B pricing that allows you to work with the information you have and set superior prices without huge surveys or data analyses – while still applying all the “science” possible.

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