Active User Rate Measure

A Active User Rate Measure is a user activity measure that calculates the percentage of licensed users or eligible users actively using an AI-powered system over specific time periods.

• AKA: Active Users, Activity Rate, DAU Rate, WAU Rate, MAU Rate, User Activity Percentage.
• Context:
  • It can assess AI Adoption Depth through user base comparisons with engagement thresholds.
  • It can track User Growth Patterns via temporal aggregation with cohort analysis.
  • It can measure Product Stickiness by comparing daily active users to monthly active users.
  • It can identify Usage Patterns across weekdays versus weekends with behavioral segmentation.
  • It can inform Resource Allocation Decisions through capacity planning with usage forecasts.
  • It can range from being a Very Low Active User Rate Measure to being a Low Active User Rate Measure, depending on its market penetration.
  • It can range from being a Moderate Active User Rate Measure to being a High Active User Rate Measure, depending on its product maturity.
  • It can range from being a Declining Active User Rate Measure to being a Growing Active User Rate Measure, depending on its trend direction.
  • It can range from being a Volatile Active User Rate Measure to being a Stable Active User Rate Measure, depending on its consistency pattern.
  • It can range from being a Narrow-Segment Active User Rate Measure to being a Broad-Market Active User Rate Measure, depending on its user base diversity.
  • ...
• Example(s):
  • Daily Active User Rate Measures, such as:
    • 20% DAU rate for enterprise AI tools.
    • 45% DAU rate for consumer chatbot applications.
  • Weekly Active User Rate Measures, such as:
    • 35% WAU rate for business analytics platforms.
    • 60% WAU rate for educational AI assistants.
  • Monthly Active User Rate Measures, such as:
    • 50% MAU rate for legal document processors.
    • 70% MAU rate for healthcare AI systems.
  • ...
• Counter-Example(s):
  • Total User Count, which measures absolute numbers rather than percentage active.
  • Bounce Rate Measure, which tracks single-session failures rather than ongoing usage.
  • Page View Count, which measures content consumption rather than user uniqueness.
• See: User Engagement Measure, Daily Active Users (DAU) Measure, Monthly Active Users (MAU) Measure, User Retention Rate Measure, DAU/MAU Ratio Measure, Chatbot User Retention Rate, Product Adoption Metric, User Growth Measure, Answer Success Rate Measure.

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