# Audience Analytics Audience analytics is the measurement and interpretation of how people encounter, circulate, reject, misunderstand, or act upon published material. Common signals include reach, impressions, shares, comments, clicks, recurrence, silence, and movement between channels. Metrics are sensors rather than self-explanatory verdicts. Similar engagement totals may arise from agreement, outrage, mockery, affiliation, or warning. Useful analytics therefore combine quantitative observation with semantic and contextual interpretation. Simple Reminders used response data inside an editorial feedback loop while preserving distinct definitions for reach, impressions, engagements, followers, subscribers, and rankings in [[about/statistics|the evidence record]]. Related: [[wiki/Behavioral Signal|Behavioral Signal]], [[wiki/Audience Modeling|Audience Modeling]], [[wiki/Cybernetic Feedback Loop|Cybernetic Feedback Loop]].