Introduction
Build effective pricing models with Excel
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Practical considerations in pricing
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1. The Basics of Pricing
What price matters
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Models of pricing
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Supply and demand
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Optimizing price in business
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Assessing price in a scenario
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Gathering data to set pricing
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Pricing in practice
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2. Data Analytics and Optimization
Demand curves and business
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Estimating linear and power demand curves
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Estimating profit-maximizing price with Goal Seek
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Optimization and scenario analysis
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Advanced analytics tools
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3. Using Price Discrimination
Fundamentals of price discrimination
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Price elasticity
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Estimating price elasticity
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Determining feasible degrees of price discrimination
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Calculating profitability under price discrimination
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Price discrimination with multiple variables
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Applied pricing discrimination
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Price differentiation and marketing attribution
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4. Stress Testing
Business forecasting
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Assessing the impact of competition
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Scenario analysis in pricing
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Variance analysis walks and pricing
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Building variance waterfalls
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Best practices in pricing
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Tools for pricing
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Conclusion
Continue using Excel for pricing analytics
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Ex_Files_Dana_Analytics_in_Excel.zip
(258 KB)