Supplies are limited. Contact info@espc.tech right away to save your spot before the conference sells out.
Get your discountScore big with last-minute savings on the final tickets to FabCon Vienna. Secure your discount
Hi,
I want to calculate the average return time of my customers over time.
I have a table with general data such as Cust_ID, and order_date per order.
Right now i have general calculations based on first_order and last_order, however this doesn't cover all averages, since some customers have 10+ orders.
Is there a way to calculate the average time between orders? Using the regular DATE commands (DATEDIFF, DATESBETWEEN, etc,), i run into problems since most of them only accept two dates, not more.
Thanks in advance!
Solved! Go to Solution.
@Milan_TBC , A new column
Diff =
var _max = maxx(filter(Table, [Customer] = earlier([Customer]) && [Order date] < earlier({order date]) ) , [Order Date])
return
datediff(_max, [Order date], day)
Then you can take AVg of this column
Or move this in a Meausure
AverageX(Table,
var _max = maxx(filter(Table, [Customer] = earlier([Customer]) && [Order date] < earlier({order date]) ) , [Order Date])
return
datediff(_max, [Order date], day) )
Earlier, I should have known Earlier: https://youtu.be/CVW6YwvHHi8
@Milan_TBC , A new column
Diff =
var _max = maxx(filter(Table, [Customer] = earlier([Customer]) && [Order date] < earlier({order date]) ) , [Order Date])
return
datediff(_max, [Order date], day)
Then you can take AVg of this column
Or move this in a Meausure
AverageX(Table,
var _max = maxx(filter(Table, [Customer] = earlier([Customer]) && [Order date] < earlier({order date]) ) , [Order Date])
return
datediff(_max, [Order date], day) )
Earlier, I should have known Earlier: https://youtu.be/CVW6YwvHHi8
User | Count |
---|---|
12 | |
11 | |
8 | |
6 | |
6 |
User | Count |
---|---|
25 | |
19 | |
14 | |
10 | |
7 |