AI Content Churn Analysis for the Curious
-- viewing now## AI Content Churn Analysis: Unlocking Customer Behavior **Are you curious about why customers churn?** Understanding the factors that drive churn can help you **identify and address customer pain points** before they stop doing business with you. **This course will guide you through the process of analyzing customer churn data using AI**, uncovering the key drivers of customer attrition.
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* User types in search queries and explores different topics. * User abandons the platform after exploring a few pages. * User searches for specific topics but doesn't engage with the content. **im_session_length**
* Average session length per user. * Number of sessions per user per day. * Percentage of users who have more than one session. **im_content_engagement**
* Time spent reading different types of content. * Number of articles read per session. * Percentage of users who watch video tutorials. **im_device_usage**
* Most commonly used devices for accessing the platform. * Average number of devices used per session. * Percentage of users who switch between devices. **im_location_data**
* Geographic location of users. * Average number of locations visited per session. * Percentage of users who come from specific regions. **im_social_media_engagement**
* Number of social media shares and likes per session. * Average number of followers gained per session. * Percentage of users who interact with social media content. **im_purchase_history**
* Average number of purchases per user. * Average time between first and last purchase. * Percentage of users who make repeat purchases. **im_feedback_sentiment**
* Positive, negative, or neutral feedback comments. * Average sentiment score per session. * Percentage of users who provide feedback.