- Predict Customer Churn (the right way) using PyCaret - Jul 5, 2021.
A step-by-step guide on how to predict customer churn the right way using PyCaret that actually optimizes the business objective and improves ROI.
Churn, Machine Learning, PyCaret, Python
- Customer Churn Prediction: A Global Performance Study - May 13, 2020.
This article details an automated machine-learned approach to predict customer churn and its results across selected communication service providers around the globe.
Churn, Customer Analytics, Predictive Analytics
- Random Forest® vs Neural Networks for Predicting Customer Churn - Dec 26, 2019.
Let us see how random forest competes with neural networks for solving a real world business problem.
Churn, Customer Analytics, Neural Networks, random forests algorithm
- Customer Churn Prediction Using Machine Learning: Main Approaches and Models - May 14, 2019.
We reach out to experts from HubSpot and ScienceSoft to discuss how SaaS companies handle the problem of customer churn prediction using Machine Learning.
Altexsoft, Churn, Customer Analytics, Machine Learning
- Data Science Projects Employers Want To See: How To Show A Business Impact - Dec 4, 2018.
The best way to create better data science projects that employers want to see is to provide a business impact. This article highlights the process using customer churn prediction in R as a case-study.
Career Advice, Churn, Data Preparation, Data Science, R
- Using Machine Learning to Predict and Explain Employee Attrition - Oct 4, 2017.
Employee attrition (churn) is a major cost to an organization. We recently used two new techniques to predict and explain employee turnover: automated ML with H2O and variable importance analysis with LIME.
Churn, H2O, HR, Machine Learning, Predictive Analytics, Workforce Analytics
- The Challenges of Building a Predictive Churn Model - Mar 8, 2017.
Unlike other data science problems, there is no one method for predicting which customers are likely to churn in the next month. Here we review the most popular approaches.
Churn, Customer Analytics, Datascience.com, Survival Analysis
- What is Customer Churn Modeling? Why is it valuable? - Mar 1, 2017.
Getting new customers is much more more expensive than retaining existing ones, so reducing churn is a top priority for many firms. Understanding why customers churn and estimating the risks are powerful components of a data-driven retention strategy.
Churn, Customer Analytics, Datascience.com
- The Top 5 KPIs to Consider When Measuring Your Campaign - Feb 28, 2017.
When it comes to measuring marketing campaign performance or analysing customers in any business, below top 5 Key Performance Indicators (KPIs) needs to be used to strategically drive the business.
Churn, Customer Analytics, KPI, Metrics, ROI, Social Media
- How to Use Cohort Analysis to Improve Customer Retention - May 2, 2016.
Cohort analysis is a subset of behavioral analytics that takes the user data and breaks them into related groups for analysis. Let’s understand using cohort analysis with an example of daily cohort of app users.
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Churn, CleverTap, Customer Analytics, Customer Behavior
- Automotive Customer Churn Prediction Results, part 2 - Sep 29, 2014.
Learn how to apply neural networks and self-organizing maps to visualize the macroscopic relationships between clients and the maintenance evolution of cars over the years.
Churn, Gregory Philippatos, Neural Networks, Predictive Analytics, Visualization
- Automotive Customer Churn Prediction using SVM and SOM - Sep 27, 2014.
A Case Study of predicting customer churn using Life Time Cycle approach and advanced machine learning methods including SVM and Self-Organizing Mapping.
Churn, Gregory Philippatos, Predictive Analytics, Product Analytics