SITUATION
|
BASKET
SIZE
|
TICKET
SIZE
|
NET
SALE
|
FOOTFALL
|
CONVERSION
|
PRODUCT
|
1
|
High
|
High
|
High
|
Ok
|
Ok
|
Ok
|
2
|
High
|
High
|
Low
|
Low
|
Low
|
Good
|
3
|
High
|
Low
|
Low
|
Ok
|
Ok
|
Good
|
4
|
Low
|
High
|
High
|
Ok
|
Ok
|
Good
|
5
|
Low
|
Low
|
Low
|
Ok
|
Ok
|
Bad
|
6
|
Low
|
Low
|
High
|
High
|
High
|
Good
|
7
|
Low
|
High
|
Low
|
Low
|
Low
|
Good
|
Conclusion for the above situations as under:
(1) Sale is high thus no need to worry. Check on Footfall, Conversion, Product improvement will raise the business to next level.
(2) Reason is Low FF/CONV.
(3) Only low value items selling.
(4) High value items selling.
(5) Product problem.
(6) Only due to High FF/CONV.
(7) High value items selling. But Low FF/CONV.
Low and High here means the degree of variations from Average. There are various interpretations could be made from this parameters here I just want to show the importance of calculation of Ticket Size & Basket Size.
Even if we take the combination to more variables with Footfall & Conversion then it will give more picture of the health of a Retail Store.
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