Create Calculated column for Recency and Frequency segmentation

[Anonymous]

I have generated recency and frequency output in csv format from my RFM model. I wanted to segment that output in this manner;

1) Recency

R1  Between 181 and 360 days
R2  Between 121 and 180 days
R3  Between 61 and 120 days
R4  Between 31 and 60 days
R5  Last 30 days

For frequency,

2) Frequency (number of purchases in the last 12 months):

F1  1 time
F2  Between 2 and 5 times
F3  Between 6 and 9 times
F4  Between 10 and 11 times
F5  12 times or more

I am not able to find a solution on how to create two new calculated columns with the above outputs.

Any help on this will be highly appreciated.

Thank you in advance for the support!

[Tanushree_Kapse]

Hi @Anonymous ,

You want to create two seperate columns for frequency and recency?
One with F1, F2 .... other with 1 time,  Between 2 and 5 times...?

Is this what you want?

Thanks 

[Anonymous]

Yes, Two seperate columns for frequency and recency?

this is my sample data;

frequency recency
1               179
1               158
1                 61
2                82
2                314

Output should be like this,

frequency recency Frequency_label    Recency_label
1               179          F1                           R2
1               158          F1                           R2
1                 61           F1                          R3
2                82            F2                          R3
2                314          F2                          R1

[VahidDM · Accepted solution]

Hi @Anonymous 

Please try these codes to add two columns to your table:

Frequency_label = 
Var _F ='Table'[frequency]
return
if(_F=1,"F1",if(_F>=2&&_F<=5,"F2",if(_F>=6&&_F<=9,"F3",if(_F>=10&&_F<=11,"F4",if(_F>=12,"F5")))))

Recency_label = 
Var _F ='Table'[recency]
return
if(_F>=0&&_F<=30,"R5",if(_F>=31&&_F<=60,"R4",if(_F>=61&&_F<=120,"R3",if(_F>=121&&_F<=180,"R2",if(_F>=181&&_F<=360,"R1")))))

Output:

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