| 
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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