Questions tagged [churn]

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Churn prediction model doesn't predict good on real data

I am working currently on churn prediction problem. As an input I use data from date warehouse for a period 082016 - 032021(one row per month for each customer). Based on this data I have created a ...
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10 views

Should I include active services when training a ML model for churn prediction?

I have been trying to build a ML model to predict churn events of our services. The services are subscription based which means they usually have fixed term (1-5 years). And because of that churn ...
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1answer
18 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 ...
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12 views

Logistic Regression with Heterogenous Historical Clusters of Customer Usage

I would like to train a churn model based on daily customer usage of a service - among other features - to predict if they are likely to churn. The problem I am facing is that I have historical usage ...
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1answer
36 views

How do you effectively predict the top 20% most likely customers to churn from a dataset?

I am looking to work out that if I have a dataset with 100,000 existing customers who didn't churn and 20,000 previous customers that churned in the past and the business objective is to target the 20%...
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25 views

Synthetic data generation for Churn prediction

I am trying to predict which customers will churn in next three months for a Telecom service provider, and I don't have any data! I have to generate synthetic data and train some models. One thing is ,...
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1answer
20 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 (...
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1answer
22 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 ...
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0answers
50 views

Features in classification problem

It's rather a strange question about feature engineering for classification problems (churn). I've read a lot of articles and tutorials for such problems, especially on telco domain. In my case the is ...
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1answer
53 views

Should I perform customer segmentation before performing churn prediction?

Imagine a company with multiple lines of revenues coming from diferent products, but all customer can access these different products through the same account and the same online platform. My goal is ...
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1answer
67 views

How to use multiple cross-section observations per subject for churn prediction?

Recently I have started to teach myself about machine learning and I have ran into a dataset, which got me a bit confused. Dataset: The subjects of the dataset are university students (student ID == &...
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1answer
123 views

Student Churn prediction

I am working on an ML model for student churn prediction. It is a classification problem if some student will churn or not. I have a lot of data like the student data and the activities of the student....
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0answers
39 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 ...
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1answer
119 views

Can I apply survival analysis to predict if a user will revisit the website?

I have one business problem in hand which is to predict if a user will revisit the website or not within 6 months. I need to majorly understand what are the factors which make the user return and also ...
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1answer
177 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: ...
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1answer
250 views

General approach on time series for customer retention/churn in retail

I have a time series of data in the following form: ...
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1answer
101 views

Will historical data lead to target leakage?

I'm bulding a employee churn model. I've employee data from 2016 to 2019 (of people who stayed/left the company), my goal is to train using data from 2016 to 2018 and predict on 2019. Since there's ...
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1answer
112 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 ...
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1answer
131 views

How to predict whether the client will renew the subscription or not based on given data structure

I have a requirement where I want to predict whether the client will renew the subscription or not. And the data is something like below. Basically client's subscription end date can be anything. And ...
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1answer
145 views

Churn Prediction Model based on Customer Activities

I am new to data science, so forgive me if i have not done my research well. I want to build a system that calculates the churn scores for each customer and hence try to prevent it. I just want to ...
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1answer
523 views

Cohort analysis over 3 months

I am trying to look at the customer retention & churn by using cohorts for an e-commerce usecase. From a business perspective, a client is defined as churned if it hasn't performed any ...
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1answer
150 views

How to most effectively utilize historical data to train churn model

Suppose we have some historical data of users activity on a website and we want to build a churn prediction model (let's say we want to predict churn in a 2 month window). The usual approach, as I ...
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3answers
890 views

How to predict whether or not a customer will renew

I have a dataset of customer contracts that specify a start date and if applicable an end date. Each month a customer is up for renewal. Below is an example of how the data is organized in excel: <...
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1answer
49 views

How to represent a user who hasn't churned in training data

I am building a file with sample data that has a bunch of variables: date, customer_id, ...
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1answer
80 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 ...
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1answer
38 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 ...
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2answers
110 views

Database on time to churn in telecomunication

I would like to research about time to churn1 in the telecommunication market. Does anyone have a link to such a database? The only ones I found did not include the time of churn, but only if a ...
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2answers
289 views

How to handle NaNs for ratio feature for binary classifier?

I'm creating a churn model and would like to create a ratio (# customers / total transaction) for each merchant. About 70% of the data are NaNs (zero/zero). I was wondering what I should impute for ...
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2answers
158 views

How would you deal with inf. or NA for rate or ratio as a feature variable

I'm trying to create a feature for a churn model (binary classifier). The feature is mean of sales growth rates for several months. But if I just take the mean of sales for several months, I often ...
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1answer
62 views

Churn Prediction problem [closed]

I am a data science neophyte struggling to solve a churn prediction problem, i would be grateful to have someone help with the regression model
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0answers
71 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 ...
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3answers
2k views

Predicting contract churn/cancellation: Great model results does not work in the real world

I'm busy with a supervised machine learning problem where I am predicting contract cancellation. Although a lengthy question, I do hope someone will take the time as I'm convinced it will help others ...
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1answer
210 views

Your Prediction Model works. What to do after?

One of the most crucial skills of a data scientist is not only to be able to build an accurate predictive algorithm but to suggest a set of actions based on that to enhance the goal ratios. I have ...
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1answer
2k views

Understanding churn prediction model [closed]

guys! I have a dataset with a bunch of costumer-behavior features and the output being "Churned"/"Not churned". I applied a simple Random Forest Classifier and got a nice performance. With this, I ...
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1answer
195 views

Opposite of churn?

I'm trying to build a model in R that predicts when a customer will purchase a product again. However, I don't know what kind of model can handle time and predict this kind of outcome. I'm wondering ...
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2answers
265 views

How to define user churn

I'd like to define our app user churn, Generally, people will define their app user churn by some simply way, like: if the user do not logon continually 7 days or 1 month, we will define them churn ...
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2answers
173 views

Dividing data between test, learn and predict

I was posting on stats.stackexchange but perhaps I should be posting here. Context. Subscription business that charges users a monthly fee for access to the service. Management would like to predict "...
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3answers
696 views

Data driven approach to define a churn user

I'm trying to define a churn prediction model for an online service (betting/gambling). A lot of papers talk about churn analysis/prediction for telco companies where defining a churn user is ...