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One Click Statistics
One Click Statistics Screen
The One Click Statistics Screen is intended to help provide a statistical picture of where your pricing is at this moment.

What do the Numbers Mean?
The screen shows the list of potential "buckets" or categories that every Sku can fall into. The Count column indicates the number of Skus that have fallen into that category. So above, we can see we have 1536 Sku's with a Current Price Less than Ace Retail. The percentage column is simply what percent of the total Sku's does this number represent. The Potential column indicated the dollars of additional profit that we could reasonable expect to gain by changing the pricing for the Sku's not at one of the Fixed Levels, up to the next fixed level. The above numbers indicate we could achieve $22,180 of additional profit if we moved the 1536 Sku's below Ace Retail up to Ace Retail. If we raised the price of the 852 Sku's that are Greater than Ace Retail and Less than Level 1, up to Level 1, we should expect an additional $3,484 in profit. On the right side of the screen, we can see how our Sku mix breaks down in ABCD ranking, and also what the pricing sensitivity mix.
Mean Level Score
The program also indicates a Mean Level Score. Above - the score is 251. The mean level score is simply the mean price point - meaning there are an equal number of prices above that price point as there are below. We can then use our scale - and compare it to the colored chart to the left of the category listing to see where we stand.
The mean level score makes it easy to compare one store to another. If we talked to another store whose Mean Level Score was 415, we would immediately know something about how our pricing compares to theirs.
Exclude Options
To make these numbers as useful as possible, by default we have Excluded all items with zero on hand and all items with zero sales history. This helps keep a store that has every Ace Sku in their system from getting an invalid reading. Change the options and see how it changes your numbers.
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| Article Details | Created:6/4/2009 1:49:10 PM Modified:6/4/2009 1:55:02 PM Author:smayhew Views:279 | |
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