Dataset: Customer Churn Dataset

About this Dataset

Customer Churn Dataset

Customer churn refers to the phenomenon where customers discontinue their relationship or subscription with a company or service provider. It represents the rate at which customers stop using a company's products or services within a specific period. Churn is an important metric for businesses as it directly impacts revenue, growth, and customer retention.

In the context of the Churn dataset, the churn label indicates whether a customer has churned or not. A churned customer is one who has decided to discontinue their subscription or usage of the company's services. On the other hand, a non-churned customer is one who continues to remain engaged and retains their relationship with the company.

Understanding customer churn is crucial for businesses to identify patterns, factors, and indicators that contribute to customer attrition. By analyzing churn behavior and its associated features, companies can develop strategies to retain existing customers, improve customer satisfaction, and reduce customer turnover. Predictive modeling techniques can also be applied to forecast and proactively address potential churn, enabling companies to take proactive measures to retain at-risk customers.

Tables

Customer Churn Dataset Testing Master

@kaggle.muhammadshahidazeem_customer_churn_dataset.customer_churn_dataset_testing_master

759.98 KB
64374 rows
12 columns


CREATE TABLE customer_churn_dataset_testing_master (
  "customerid" BIGINT,
  "age" BIGINT,
  "gender" VARCHAR,
  "tenure" BIGINT,
  "usage_frequency" BIGINT,
  "support_calls" BIGINT,
  "payment_delay" BIGINT,
  "subscription_type" VARCHAR,
  "contract_length" VARCHAR,
  "total_spend" BIGINT,
  "last_interaction" BIGINT,
  "churn" BIGINT
);

Customer Churn Dataset Training Master

@kaggle.muhammadshahidazeem_customer_churn_dataset.customer_churn_dataset_training_master

5.1 MB
440833 rows
12 columns


CREATE TABLE customer_churn_dataset_training_master (
  "customerid" DOUBLE,
  "age" DOUBLE,
  "gender" VARCHAR,
  "tenure" DOUBLE,
  "usage_frequency" DOUBLE,
  "support_calls" DOUBLE,
  "payment_delay" DOUBLE,
  "subscription_type" VARCHAR,
  "contract_length" VARCHAR,
  "total_spend" DOUBLE,
  "last_interaction" DOUBLE,
  "churn" DOUBLE
);