📄️ Customer Churn and Retention
Churn and retention analysis aims to identify the reasons why customers discontinue their use of a product or service. Leveraging tools like Infer, you can even forecast which users are at risk of churning in the near future.
📄️ Lead Scoring Analysis
Lead scoring is a methodology used to rank prospects against a scale representing the perceived value each lead brings to the organization. The ultimate goal is to prioritize the marketing and sales team's focus on leads with the highest potential for conversion.
📄️ Customer Lifetime Value (CLV) Analysis
Customer Lifetime Value (CLV) is a metric that quantifies the total value a customer contributes to your business over their entire lifecycle. Understanding CLV allows for targeted customer segmentation, personalized marketing, and efficient allocation of resources.
📄️ Sentiment Analysis of Customer Reviews
Sentiment analysis helps in understanding the emotional tone behind text data like customer reviews, support conversations, social media feeds, or survey responses. This technique is critical for businesses to gauge customer satisfaction, perform market research, and improve products or services.
📄️ Customer Segmentations
To learn how to build customer segmentations see the tutorial on "Clustering".