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## Essential Units for AI Content Churn Analysis
**im_user_behavior**
* User types, scrolls, or interacts with the AI interface.
* Examples: Using search terms, asking questions, exploring different options.
**im_device_usage**
* Device type (desktop, mobile, tablet).
* Examples: Laptop, smartphone, tablet.
**im_session_length**
* Time spent on the AI platform per session.
* Examples: 5 minutes, 10 minutes, 15 minutes.
**im_content_usage**
* Amount of content viewed or generated per session.
* Examples: Number of articles read, words generated, images viewed.
**im_interaction_type**
* How users interact with the AI (e.g., asking questions, providing feedback, generating content).
* Examples: Asking questions, providing feedback, generating summaries, writing stories.
**im_user_demographics**
* User's age, gender, location, education, occupation.
* Examples: 25-year-old female, US-based, high school diploma.
**im_session_context**
* Specific topics or themes discussed or explored during the session.
* Examples: Artificial intelligence, machine learning, natural language processing.
**im_user_preferences**
* User's preferred communication channels, notification settings, content formats.
* Examples: Email, SMS, email, push notifications, PDF reports.
**im_external_sources**
* Sources of information used by the user during the session.
* Examples: Articles, books, videos, other AI platforms.