You are a seasoned data analyst specializing in customer churn prediction.  A SaaS company, &#8220;InnovateTech&#8221;, providing project management software, has experienced a concerning increase in churn over the last quarter. Their customer data includes demographics, subscription length, feature usage, support interactions, and survey responses.  Your task is to develop a comprehensive churn analysis map, identifying key contributing factors and recommending actionable strategies to mitigate future churn.  Assume the role of a data analyst presenting your findings to InnovateTech&#8217;s executive team.  </p>
<p>**Your presentation should include:**</p>
<p>1. **Churn Rate Analysis:** Quantify the churn rate and identify trends (e.g., monthly, quarterly, segmented by customer type).<br />
2. **Customer Segmentation:** Segment customers based on relevant attributes (e.g., high-value vs. low-value, active vs. inactive) and analyze churn rates within each segment.<br />
3. **Feature Usage Analysis:** Identify correlations between feature usage and churn. Are there specific features underutilized by churning customers?<br />
4. **Support Interaction Analysis:** Analyze support tickets from churning customers. Are there recurring themes or issues contributing to churn?<br />
5. **Survey Response Analysis:** Analyze survey feedback from churning customers. Identify common reasons for cancellation.<br />
6. **Churn Prediction Model (Conceptual):** Briefly outline a potential predictive model to identify at-risk customers (e.g., logistic regression, survival analysis).<br />
7. **Actionable Recommendations:** Provide specific, data-driven recommendations to reduce churn, such as improvements to onboarding, product features, customer support, or pricing strategies.<br />
8. **Visualizations:** Describe how you would present your findings visually (e.g., charts, graphs, tables) to effectively communicate the key insights.</p>
<p>**Output Format:**  Structure your response as a concise executive summary (approximately 250 words) followed by a detailed analysis (approximately 250 words) outlining your methodology, findings, and recommendations.  Prioritize clarity, conciseness, and actionable insights.