In business-to-business (B2B) markets, getting the best price possible on every deal is fundamental to maximizing margins. Most B2B companies perform limited analysis of pricing data to identify opportunities to improve margins and revenues. Innumerable combinations of products, customers, terms, channels, and promotions produce data that is too complex for manual analysis techniques. As a result, most price management decisions are highly subjective and sub-optimal.

At Zilliant we believe there is a better way to price—a more analytical, automated approach that we call data-driven price management.

Data-driven Price Management

In the last several years, enterprises have accumulated volumes of transactional pricing data through their increased use of enterprise order management and CRM applications. With recent advances in pricing science, B2B data can now be synthesized to optimize prices and maximize margins. When combined with analytical, optimization and process automation software, these empirical insights produce actionable, fact-based pricing policies and guidance that increase revenues and profits.

Zilliant’s data-driven approach to price management not only helps marketing, pricing operations, and sales professionals to identify and exploit opportunities to improve margin, but also enhances the efficiency of pricing processes. Companies that have adopted data-driven price management have improved gross margins 15 percent and more, and increased pricing agility and control.

  Learn about the Key Components of Data-driven Pricing