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Most customer-obsessed companies rely on traditional customer churn prediction models that leverage transactional analytics to predict the future risk of cancellation. These models use transactional ...

This new product line — available to all businesses, including those using other customer success platforms (CSP) or who do not have a CSP implemented — will launch with two solutions for churn ...

Brands racing to adopt AI in marketing are finding that human insight holds the key to turning automation into lasting customer loyalty. Predictive power improves engagement. Top brands use AI in ...

Understanding customer churn is critical to sustaining a healthy business. Knowing how and why customers leave and what can be done to win them back underpins efforts to target new markets and product ...

Churn rate refers to the percentage of customers or subscribers who stop using a product or service over a specific time period. For example, if a company starts the month with 100 customers and loses ...

Churn has long been a challenge in media and entertainment, but recent research highlights its growing impact. Forbes found that 46% of US households canceled a streaming subscription within the last ...