MHB Calculating Activation Rate of Customers within 3 Months Post-Purchase

  • Thread starter Thread starter Vidalia
  • Start date Start date
  • Tags Tags
    Product
Click For Summary
To calculate the activation rate of customers within three months post-purchase, first, merge the two Excel sheets based on the Customer_Account. Next, filter the data to identify customers whose Activation_Date falls within three months of their Purchase_Date. Then, calculate the percentage of these activated customers relative to the total number of customers who made a purchase in each country. This method provides a clear view of activation rates by country. Implementing this process in spreadsheet software will yield the desired results efficiently.
Vidalia
Messages
2
Reaction score
0
1) I have a list of customers who have bought a product and consumed it on a certain date.

I receive every month an excel sheet with the following columns:

Customer_Account / Activation_Date / Country /

2) I have another excel sheet with the volume of sales of that product by Country.

I also receive every month this second excel sheet with the following columns :

Customer_Account / Purchase_Date / Country / Store_Purchase /

3) So every month, upon reception of these two files, I need to calculate the percentage (rate) of customers by Country who have activate their product following within the 3 months after their purchase ?

I thank you very much for your great help!
 
Mathematics news on Phys.org
Hi Vidalia and welcome to MHB. :D

Any thoughts on how to begin? Are you looking for spreadsheet code or just a general answer?
 
greg1313 said:
Hi Vidalia and welcome to MHB. :D

Any thoughts on how to begin? Are you looking for spreadsheet code or just a general answer?

Hi Greg,

Thank you for your answer. I think If I can have a general answer that can be applied to spreadsheet code, that will be great! But would take any answer.

Thank you very much!
 
I have been insisting to my statistics students that for probabilities, the rule is the number of significant figures is the number of digits past the leading zeros or leading nines. For example to give 4 significant figures for a probability: 0.000001234 and 0.99999991234 are the correct number of decimal places. That way the complementary probability can also be given to the same significant figures ( 0.999998766 and 0.00000008766 respectively). More generally if you have a value that...

Similar threads

  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 2 ·
Replies
2
Views
7K
  • · Replies 19 ·
Replies
19
Views
2K
Replies
4
Views
3K
  • · Replies 46 ·
2
Replies
46
Views
5K
  • · Replies 9 ·
Replies
9
Views
3K
  • · Replies 1 ·
Replies
1
Views
1K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 6 ·
Replies
6
Views
2K
  • · Replies 67 ·
3
Replies
67
Views
15K