Missed the Q4 Fall Release Product Update? Watch the on-demand webinar for more info on the latest in Designer 24.2, Auto Insights Magic Reports, and more!

Alteryx Designer Desktop Discussions

Find answers, ask questions, and share expertise about Alteryx Designer Desktop and Intelligence Suite.
SOLVED

learning segmentation analysis

Digvijay_khasa
6 - Meteoroid

Hello Community,

 

Hope everyone is well in these tough times!

 

I have a data set that contains information on several telecommunication firm customers who, at some time, purchased a mobile phone. Attaching screenshot. I am trying to find if they exist, similar groups of customers to which promotion can be applied, in order to reduce churnrate.

 

2021-06-17_17h34_25.png

 

4 REPLIES 4
DawnDuong
13 - Pulsar
13 - Pulsar

hi @Digvijay_khasa 

The question is not very clear. What's the hypothesis question that you try to prove/disprove? At the minimum you need to specify the input vs. output. 

Dawn.

mceleavey
17 - Castor
17 - Castor

Hi @Digvijay_khasa ,

 

This looks like you're trying to create a predictive churn model.

As @DawnDuong points out, we're going to need more information along with your data (remove names etc.) to help with this.

 

However, I would look into the Predictive section of the Academy to get yourself up and running with Churn prediction.

 

M.



Bulien

Digvijay_khasa
6 - Meteoroid

@mceleavey @DawnDuong Thanks for your response.

 

Please find the data attached. The goal here is to find segments of users with similar spending habits/KPIs so that we may create a predictive churn model which would lead to recommendations to reduce the churn rate.

Meanwhile, I am also checking the Academy.

 

Best,

Digvijay

ArtApa
Alteryx
Alteryx

Hi @Digvijay_khasa - Your dataset is story telling. You may want to go to our Academy learn how to use Data Investigation, Predictive and Machine Learning tools.

 

ArtApa_0-1624242634416.png

 

Labels
Top Solution Authors