Automated Predictive Reporting, made possible with TIM
Churn Prediction
Automated Predictive Reporting, made possible with TIM
Classify specific customers according to the likelihood that they will cancel their subscription and churn.
Use Case Objective
In this example a telecom company is looking for ways to reduce churn in their customer base. The internet & telecom service industry is highly competitive and success of the company is measured by market share in number of customers. Therefore churn is a very important topic.
We use TIM to classify specific customers according to the likelihood that they will cancel their subscription and churn.
How TIM makes this easy
TIM makes hundreds of unique, high-quality and insightful models fully automatically and very quickly.
TIM manages and maintains these models automatically and dynamically.
Data science complexity is removed.
You have a fully automatic and reliable AI/ML solution to improve your daily decisions and planning.
By intelligently predicting which customers are likely to churn, companies can now target advertisement campaigns and promotions to those specific customers.
These actions lead to less churn, resulting into more recurring revenue. On top of this, there are also cost reductions by more effectively aiming marketing efforts.
Input Data
No timeseries data. The customer ID is considered as the index
Target: churn/no churn (yes or no / 1 or 0)
Predictor candidates: subscription plans, customer service data, account information
Outcomes
TIM results: classification directly from TIM
Predictor & Feature Importances: insights in the data generated by TIM
Classification template
Value calculator
TIM Configuration Settings
Mostly default settings are used.
By changing the TIM "Quality" parameter to medium we can focus on the predictor candidates.
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