learning segmentation analysis
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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.
 
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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.
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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.
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@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
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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.
- https://community.alteryx.com/t5/Interactive-Lessons/tkb-p/interactive-lessons/label-name/Predictive...
- https://community.alteryx.com/t5/Videos/Using-Assisted-Modeling/td-p/581807