Plasma is a big data pricing insights machine, constantly growing – combining a massive amount of anonymized transaction and quoting data from more than ten major industries, sliced and segmented by region, product type, and other relevant factors. The data is then compiled into a set of 20+ pricing performance benchmarks, delivered in intuitive visual outputs – designed to answer the most important pricing analytics questions.
Use Case Situation Description
User Role:
Pricing Manager/Sales Manager/Product Manager/C-Suite Executives
Business Objective:
Provide a unique business advantage to improve pricing strategy and execution. Customers have access to reliable quantitative benchmarks so they can objectively measure and compare their performance. Enables users to identify market trends and to improve decision-making on their future strategy, ambition, and direction of growth.
Benefit:
· Combines a massive amount of anonymized and aggregated transaction and quoting
· data into 20+ pricing performance benchmarks, delivered in intuitive visual outputs
· Provides access to reliable quantitative benchmarks to measure and compare company performance objectively
· Identifies market trends to improve decision-making on future strategy, ambition, and direction of growth
· Lays the foundation for a data-driven assessment of opportunities and target setting
KPI:
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End-to-end price waterfall - Detailed price buildup, including on- and off-invoice discounts, cost elements, geographical prices, list prices and margin elements.
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Deal approval process - Deal velocity, percentage of deals outside discount guidelines, number of steps in approval process.
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Price Setting - List prices increases captured in realized price, number of list price changes per year.
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Measures of customer and product concentration - Percentage of customers/products to reach deciles.