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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

 

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