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
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
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
Enter trial prices for each of the 12 months
Enter formula to calculate highest value customer left: 
=B3-1
Select cell containing formula Select handle at bottom right of formula cell, then drag down while holding Ctrl key
Enter formula for units sold in a month: 
=C2-C3
Select cell containing formula 
Select handle at bottom right of formula cell, then drag down while holding Ctrl key
Enter formula for the month’s revenue: =B3*D3
Select cell containing formula 
Select handle at bottom right of formula cell, then drag down while holding Ctrl key
Enter formula to aggregate the entire year’s revenue: 
=SUM(E3:E14)
Launch Excel Solver
Maximize Yearly revenue 
By changing prices Using Evolutionary solving method
Click Add button
Price 
Must be an integer Click OK
Click Add button
Price 
Less than/equal to $10,000 
Click OK
Click Add button
Price Greater than 
$1 Click OK
Click Solve button
Maximized yearly revenue 
Optimized monthly price levels
Pricing Analytics: Price Skimming

Pricing Analytics: Price Skimming