We know that one price does not fit all because all transactions are not equal. Customers are different with differentiated willingness-to-pay depending on the context, e.g. geographies, end-uses, etc. A uniform price in the business will leave money on the table with uncaptured customer surplus. Similarly, a too high price will result in lost business opportunities. Differentiating pricing based on willingness-to-pay should be the goal of pricing segmentation. In this webinar, you will learn:
- Six expectations from improved pricing segmentation on profitability
- AI’s role in the development of customer segmentation
- A 3-step process for building your iterative cycle
- A distribution case example achieving a margin uplift, improved customer satisfaction and higher win-rates
Darius Fekete | Business Consultant, Vendavo
Darius is a Business Consultant with 10+ years of professional experience in pricing and commercial transformations. He is an advocate for elevating pricing to strategic levels in organizations and an expert in building dynamic pricing capabilities in commoditized markets.
Prior to joining Vendavo, he delivered a number of complex business transformation initiatives in B2B industries and financial services. Darius also worked at Simon-Kucher & Partners advising clients on top-line growth, price optimization and commercial excellence initiatives across various sectors. He started his career trading commodity derivatives and managing equity investment portfolios.
Darius holds a Masters in International Economic Relations from the Cracow University of Economics in Poland.