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Questions tagged [churn]

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Logistic Regression for prediction

I would like to ask about the theoretical approach of using Logistic Regression for customer data and more specifically Churn Prediction (in BigQuery and Python). I have my customer data for an online ...
Ledian K.'s user avatar
  • 121
2 votes
1 answer
72 views

Expected Lifetime: Churn Formula vs. Experience Data

I am analyzing data for a subscription based company. I.e they sell a service in exchange for monthly payment. I would like to conduct an analysis and come up with an estimate of the average lifetime (...
Prince M's user avatar
  • 137
2 votes
1 answer
97 views

Decision tree to get difference in rates in two groups?

I have two sample groups of customers, each customer has 100s of features. For a single sample, i would use Decision Trees to find sub-groups that have a high churn rate. Thats easy. However, my ...
Arslán's user avatar
  • 131
1 vote
1 answer
34 views

Data for churning model

I am thinking to improve the imbalanced dataset for my churning model, as most people recommend like over/under sampling. I am wondering if using past customer churn data would be helpful. Say that I ...
TC_L's user avatar
  • 11
1 vote
1 answer
13 views

What sort of analysis should be done in order to define our target outcome for modelling customer lapse?

I am trying to build a model to predict customer lapse and am required to define the target lapse definition myself. What sort of customer behavioural analysis should I do in order to define my ...
mlman's user avatar
  • 11
1 vote
1 answer
274 views

Predicting churn - deal with missing dates in time series and improve modelling result

This is the follow up question for General approach on time series for customer retention/churn in retail. I have a time series of data in the following form: ...
Michael's user avatar
  • 23
1 vote
1 answer
176 views

Churn Prediction Training Set

I don't understand how to form my dataset from activity(logins etc.) and characteristic(location, age etc.) raw user data. Ultimately, each row of the training set will have N activity features for a ...
thatguyoverthere's user avatar
1 vote
0 answers
75 views

Causes for churn

I have a model which calculates churn probabilities for e-commerce customers based on their historical activity data (no. of sessions, page views, purchases etc) using supervised learning with an AUC ...
Sagar Jounkani's user avatar
0 votes
1 answer
35 views

Is this Dataset somehow skewed?

I am working on a dataset that has 100K points, it's about Customer churn. So I don't know whether this dataset is skewed, incomplete or what. I tried doing some feature engineering on it but couldn't ...
Harshal R's user avatar
0 votes
0 answers
16 views

Predicting Year-End Outcome from Monthly (and Annual) Data

I have data on customers' usage of various product features over time. Each month, a customer can choose to use a feature or not. I want to create a live system that produces the probability of a user ...
pyassign67's user avatar
0 votes
1 answer
29 views

Integrating time context in a machine learning model

Basically, what I'm curious about, are there any methods in machine learning to make the model take into account events that happen in real time that affect the data points during that time period. ...
Maxim Chopivskyy's user avatar
0 votes
1 answer
35 views

What is the best way to model survival when the hazard rate decreases over time?

The standard survival analysis model - for example the model which forms the basis for the proportional hazards model - assumes the hazard rate is constant. In many applications this would be the ...
JJ Levine's user avatar
0 votes
1 answer
124 views

How to predict churn events that may happen within a period of time?

I am trying to build a model that predicts churn events in the future. The business wants to be able to identify which customers are likely to terminate the services within a month. "Within a ...
ddd's user avatar
  • 203
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0 answers
57 views

Parameters to build a churn prediction engine

Let us assume that I’m working for some company A, and my manager has asked me to build a churn prediction engine given that the product to which the churn prediction is to be done is unknown. The ...
Blackdeath's user avatar
0 votes
1 answer
111 views

Behavioural data required to predict churn

I am trying to build a predictive churn model that will identify customers who are likely to churn. I am defining a churned user as someone who hasn't transacted within 60 days. 90% of all ...
James Stott's user avatar