Capturing the Value of Pricing Analytics
Visionary Pricing: Reflections and Advances in Honor of Dan Nimer
ISBN: 978-1-78052-996-7, eISBN: 978-1-78052-997-4
Publication date: 19 November 2012
Abstract
When linked to human behavior and executed effectively, value-based pricing represents the most effective lever that a company has at its disposal to maximize profitability. The ability to integrate sophisticated analytics and market research in order to sell a customer the right product (and value) at the right price will drive profitability far more effectively and sustainably than other business initiatives (Marn & Rosiello, 1992, p. 84). This chapter addresses the use of analytics to determine where value resides and how to turn that analysis into an effective platform for pricing decisions. Organization-wide involvement in pricing is essential. A company must provide those persons responsible for pricing – including finance and sales persons – with information regarding the levers they can pull in the product transaction execution. Statistical business analytical software enables companies to apply microeconometrics (analytical and statistical capabilities) for the pricing and selling of products. The pricing waterfall helps companies understand where they can increase profits by using the pocket price and pocket margin to gain insights into which customer relationships can be more profitable than others. By examining the transaction structure, behavioral segmentation, and price optimization (three dimensions of the Analytics Triad), a company can conceive the full value proposition for groups of customers. An effective process and technology infrastructure that enables granular data development and analysis will help enable accurate and timely pricing decisions.
Citation
Davenport, C., Norkus, J. and Simonetto, M. (2012), "Capturing the Value of Pricing Analytics", Smith, G.E. (Ed.) Visionary Pricing: Reflections and Advances in Honor of Dan Nimer (Advances in Business Marketing and Purchasing, Vol. 19), Emerald Group Publishing Limited, Leeds, pp. 299-333. https://doi.org/10.1108/S1069-0964(2012)0000019019
Publisher
:Emerald Group Publishing Limited
Copyright © 2012, Emerald Group Publishing Limited