The earlier you can see customer pain, the better your chance of fixing it - and saving the account. Modern customer success teams can no longer afford to react to churn signals after it’s too late. They need the ability to detect risk early, understand what’s driving it, and take targeted action before dissatisfaction becomes attrition. AI-powered customer intelligence turns raw product, engagement, and sentiment data into real-time, predictive insights. By surfacing early warning signs of customer friction, behavioral shifts, and adoption gaps, AI empowers CSMs to intervene sooner, prioritize the right accounts, and take corrective action while there’s still time to change the outcome. In this session, we’ll explore how predictive intelligence enables teams to: - Identify emerging customer pain before it escalates - Use AI-driven behavioral segmentation to personalize engagement - Predict churn, expansion, advocacy, and renewal timing with greater accuracy - Act proactively with data-backed strategies that increase retention and long-term value When teams can see risk earlier, they can respond smarter, turning potential churn into stronger, more resilient customer relationships.