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Hi. I want to group customers based on their purchase interval. For example, there's column customer_id, purchase_date, item_id, total_price. I want to group it like:
Daily customers: Customer A, D
Weekly Customers: Customer Y, V, Z, L
Monthly customers: Customer C, J, K
Once in 2 months: Customer O, P, R T, G
Once in 6 months: Customer F
Yearly: Customer S, W
does anyone know how to make this happen?
Solved! Go to Solution.
Hi @Anonymous,
Suppose the customer table is named as 'Test1'. Please new a date dimention table as below. And establish a one to many relationship between two tables based on date column.
date table = ADDCOLUMNS(CALENDAR(DATE(2018,1,1),DATE(2018,12,31)),"weekNo",WEEKNUM([Date],2))
check =
VAR countdaily =
CALCULATE (
DISTINCTCOUNT ( 'date table'[Date] ),
FILTER ( 'Test1', 'Test1'[customer_id] = EARLIER ( Test1[customer_id] ) ),
USERELATIONSHIP ( 'date table'[Date], Test1[purchase_date] )
)
VAR countweekly =
CALCULATE (
DISTINCTCOUNT ( 'date table'[weekNo] ),
FILTER ( 'Test1', 'Test1'[customer_id] = EARLIER ( Test1[customer_id] ) ),
USERELATIONSHIP ( 'date table'[Date], Test1[purchase_date] )
)
VAR countmonthly =
CALCULATE (
DISTINCTCOUNT ( 'date table'[Date].[Month] ),
FILTER ( 'Test1', 'Test1'[customer_id] = EARLIER ( Test1[customer_id] ) ),
USERELATIONSHIP ( 'date table'[Date], Test1[purchase_date] )
)
VAR countyearly =
CALCULATE (
DISTINCTCOUNT ( 'date table'[Date].[Year] ),
FILTER ( 'Test1', 'Test1'[customer_id] = EARLIER ( Test1[customer_id] ) ),
USERELATIONSHIP ( 'date table'[Date], Test1[purchase_date] )
)
VAR checkeveryNmonth =
DATEDIFF (
CALCULATE (
MAX ( Test1[purchase_date] ),
FILTER (
Test1,
Test1[customer_id] = EARLIER ( Test1[customer_id] )
&& Test1[purchase_date] < EARLIER ( Test1[purchase_date] )
)
),
[purchase_date],
MONTH
)
RETURN
IF (
countdaily = DISTINCTCOUNT ( 'date table'[Date] ),
"Daily",
IF (
countweekly = DISTINCTCOUNT ( 'date table'[weekNo] ),
"Weekly",
IF (
countmonthly = DISTINCTCOUNT ( 'date table'[Date].[Month] ),
"Monthly",
IF (
countyearly = DISTINCTCOUNT ( 'date table'[Date].[Year] ),
"Yearly",
IF (
checkeveryNmonth = 2,
"Once in 2 months",
IF ( checkeveryNmonth = 6, "Once in 6 months", "N/A" )
)
)
)
)
)
Hi @Anonymous,
Suppose the customer table is named as 'Test1'. Please new a date dimention table as below. And establish a one to many relationship between two tables based on date column.
date table = ADDCOLUMNS(CALENDAR(DATE(2018,1,1),DATE(2018,12,31)),"weekNo",WEEKNUM([Date],2))
check =
VAR countdaily =
CALCULATE (
DISTINCTCOUNT ( 'date table'[Date] ),
FILTER ( 'Test1', 'Test1'[customer_id] = EARLIER ( Test1[customer_id] ) ),
USERELATIONSHIP ( 'date table'[Date], Test1[purchase_date] )
)
VAR countweekly =
CALCULATE (
DISTINCTCOUNT ( 'date table'[weekNo] ),
FILTER ( 'Test1', 'Test1'[customer_id] = EARLIER ( Test1[customer_id] ) ),
USERELATIONSHIP ( 'date table'[Date], Test1[purchase_date] )
)
VAR countmonthly =
CALCULATE (
DISTINCTCOUNT ( 'date table'[Date].[Month] ),
FILTER ( 'Test1', 'Test1'[customer_id] = EARLIER ( Test1[customer_id] ) ),
USERELATIONSHIP ( 'date table'[Date], Test1[purchase_date] )
)
VAR countyearly =
CALCULATE (
DISTINCTCOUNT ( 'date table'[Date].[Year] ),
FILTER ( 'Test1', 'Test1'[customer_id] = EARLIER ( Test1[customer_id] ) ),
USERELATIONSHIP ( 'date table'[Date], Test1[purchase_date] )
)
VAR checkeveryNmonth =
DATEDIFF (
CALCULATE (
MAX ( Test1[purchase_date] ),
FILTER (
Test1,
Test1[customer_id] = EARLIER ( Test1[customer_id] )
&& Test1[purchase_date] < EARLIER ( Test1[purchase_date] )
)
),
[purchase_date],
MONTH
)
RETURN
IF (
countdaily = DISTINCTCOUNT ( 'date table'[Date] ),
"Daily",
IF (
countweekly = DISTINCTCOUNT ( 'date table'[weekNo] ),
"Weekly",
IF (
countmonthly = DISTINCTCOUNT ( 'date table'[Date].[Month] ),
"Monthly",
IF (
countyearly = DISTINCTCOUNT ( 'date table'[Date].[Year] ),
"Yearly",
IF (
checkeveryNmonth = 2,
"Once in 2 months",
IF ( checkeveryNmonth = 6, "Once in 6 months", "N/A" )
)
)
)
)
)
Thank you, it works perfectly!
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