Predict Customer Churn with Machine Learning and Data Visualization

In this webinar, you will learn:

-How to use machine learning to uncover patterns in data that will help improve your business
-Identify and understand the factors that influence customer churn
-Classify customers based on their predicted likelihood to churn
-Uncover what you should do to retain at-risk customers
-How to create machine learning models and integrate them into a data visualization tool
-How to use a data visualization tool to operationalize the results of a machine learning model

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What if you could easily uncover patterns in your data that help not only predict the future but help you take action and improve your business?

In this webinar, we outline how this is possible. We focus on an important topic for many organizations: customer churn.

Many companies are stuck looking backward – only able to identify lost customers after they’re gone, without realizing they already have the data they need to predict customer churn.

What if you could identify the factors that are associated with lost customers and predict which customers are likely to leave? Would you like to know if there are different factors contributing to high-value vs. low-value customer attrition?

Read more: https://www.analytics8.com/blog/predict-and-control-customer-churn-with-machine-learning/

Additional Resources:

What Are the Different Types of Machine Learning You Can Deploy and How Do You Use Them?: https://www.analytics8.com/blog/what-are-the-different-types-of-machine-learning-you-can-deploy-and-how-do-you-use-them/

Predicting Customer Behavior Using Data Science: https://www.analytics8.com/blog/predicting-customer-behavior-using-data-science/

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Видео Predict Customer Churn with Machine Learning and Data Visualization канала Analytics8