Answer
A customer health score measures account well-being by combining product usage frequency, support ticket patterns, billing status, feature adoption rates, and engagement levels, with these signals aggregated to predict whether an account will renew, expand, or churn. AI automatically pulls data from multiple sources such as CRM systems, product analytics, support tools, and survey platforms, unifying it into a centralized dashboard and mapping and aggregating data from disparate systems to eliminate silos.
AI can aggregate and analyze data from multiple touchpoints such as product usage, email communication, support tickets, and sentiment in chat conversations, flagging potential risks when a customer's usage decreases sharply or their communication tone shifts toward dissatisfaction, while also considering broader engagement trends, renewal history, and account tier.
Mid-market companies now generate enough digital data to fuel AI, with usage logs, support tickets, and meeting transcripts helping AI spot patterns and predict outcomes.