The relation between the probability of rebuying and the number of purchases made

This small article tries to give an insght on the relation between the probability of rebuying and the number of purchases a customer made on a specific fashion brand. It was made a survey to 33 customers regarding the purchase beahvior on 4 fashion brands, it was asked four questions:

1. How many pieces of clothes did you bought of this brand in the last year?

2. In what measure that pieces of clothes where real needed (scale 1 to 10)?

3. If a friend, colleague or related would ask a advice on purchasing a piece of clothes, what will the probability of recommend this brand (scale 1 to 10)?

4. If you will need to purchase a piece of clothes, what will be the probability to rebuy on this brand (scale 1 to 10)?

On the next table is presented the results of the main questions:

However, when it took the customers that answered 10 on the real need to purchase that pieces of clothes, which means that the pieces of clothes were at all necessary to those customers. The results for the four questions are different regarding the brand D, which is a brand characterized by the production of all types of clothes, not specialized as brands A, B and C.

If we compared the results of the two tables, it seems that the probabilities of recommend and rebuy increases more on brands B and D. This means that there were 9 customers on brand D that said that they real needed to buy pieces of clothes but answered a lower probability to recommend and rebuy. We can conclude that were purchases driven by need and not from taste. Brand D attracts more customers that show lack of loyalty than happens on brands A and C. But, on other hand has a bigger volume market share (50%).

The second conclusion is it seems that there is a correlation between the number of pieces brought and the probability of rebuying (0.99). The main issue now, will be to understand if the probability of rebuying is correlated with the actual buy on the next year.