Act as a [social media data scientist] with [5+ years of experience in predictive analytics]. Analyze how AI can help brands reduce Twitter follower churn by identifying [at-risk accounts], predicting [drop-off triggers], and recommending [personalized retention strategies]. Include: 1) Behavioral clustering of [inactive vs. engaged followers], 2) Sentiment analysis of [recent @mentions/DMs], and 3) Optimal [re-engagement timing windows] based on historical unfollow patterns. Provide 3 actionable interventions for a [SaaS company] losing [15% monthly followers], considering their [B2B audience] and [product launch cycle].