pricing analytics: price skimming

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PRICING ANALYTICS Price Skimming

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Post on 20-Jun-2015

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Data & Analytics


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The prices of several product classes – notably fashion and technology – tend to drop over time. One possible reason for the drop over time is different customers assigning a different value to the same product or service. Price skimming models can be used to maximize a product or service’s revenue by planning price reductions over time in a manner that slowly cuts tranches of higher-value customers out of the market. This presentation provides a hands-on demonstration of constructing a price skimming model in Excel, and optimizing planned price reductions.

TRANSCRIPT

Page 1: Pricing Analytics: Price Skimming

PRICING ANALYTICS Price Skimming

Page 2: Pricing Analytics: Price Skimming

Price Reductions Over Time • Prices of items in several product/service categories decrease

over time

• Three common reasons for these price reductions: • Competition

• Learning curve

• Price skimming

Page 3: Pricing Analytics: Price Skimming

Price Skimming • Basic economic principle: not every customer places the same

value on a product/service

• Initial “value pricing” can maximize unit sales, but cannibalizes potential revenue from high-value customers

• Initial “premium pricing” can maximize revenue, if you drop prices over time to attract remaining customers

Page 4: Pricing Analytics: Price Skimming

Price Skimming Example • Skimming model for Rolex smartwatch

• Cover 12 months of sales

• Sell 10,000 watches

• Prices adjusted on 1st of each month

• Assumption: Sell all 10,000 watches in 12 months

Page 5: Pricing Analytics: Price Skimming

Enter trial prices for each of the 12 months

Page 6: Pricing Analytics: Price Skimming

Enter formula to calculate highest value customer left:

=B3-1

Page 7: Pricing Analytics: Price Skimming

Select cell containing formula

Select handle at bottom right of formula cell, then drag down while holding Ctrl key

Page 8: Pricing Analytics: Price Skimming

Enter formula for units sold in a month: =C2-C3

Page 9: Pricing Analytics: Price Skimming

Select cell containing formula

Select handle at bottom right of formula cell, then drag down while holding Ctrl key

Page 10: Pricing Analytics: Price Skimming

Enter formula for the month’s revenue: =B3*D3

Page 11: Pricing Analytics: Price Skimming

Select cell containing formula

Select handle at bottom right of formula cell, then drag down while holding Ctrl key

Page 12: Pricing Analytics: Price Skimming

Enter formula to aggregate the entire year’s revenue:

=SUM(E3:E14)

Page 13: Pricing Analytics: Price Skimming

Launch Excel Solver

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Maximize

Yearly revenue

By changing prices

Using Evolutionary solving method

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Click Add button

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Price Must be an integer

Click OK

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Click Add button

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Price Less than/equal to $10,000

Click OK

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Click Add button

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Price Greater than $1

Click OK

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Click Solve button

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Maximized yearly revenue

Optimized monthly price levels

Page 23: Pricing Analytics: Price Skimming