Customer churn remains a huge issue for telcos, but AI could be the key to changing that. Or, it could fail to live up to its ...

Customer churn prediction and segmentation have emerged as pivotal areas of research and practice, given their substantial impact on revenue protection and strategic customer management. These methods ...

In today’s competitive landscape, digital-first challengers and fintech companies have expanded customer options, making loyalty less secure. This is why customer retention strategies in banking are ...

With the cost of acquiring new app installs skyrocketing, keeping users engaged who have already installed is critical for maximizing acquisition spend and customer lifetime value. Urban Airship’s ...

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In fields including computer science and data science, it is common practice when predicting outcomes such as customer churn or image recognition to focus on variables with the highest predictive ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Churn is more than outright defection; it can also include silent attrition, where customers remain nominally active but reduce engagement, spending, or product adoption. High churn rates erode ...

According to McKinsey, companies that excel at personalization generate 40% more revenue than those that are only average at their personalization efforts. For subscription businesses, in particular, ...