a5c-ai/audience-analytics
library/specializations/domains/social-sciences-humanities/arts-culture/skills/audience-analytics/SKILL.md
Analyze visitor data, attendance patterns, and engagement metrics to inform programming decisions and measure organizational impact
$ install --global
skillsauthnpx skillsauth add a5c-ai/babysitter audience-analyticsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Last scanned: Apr 2, 2026, 9:30 AM72.7s1 file scanned
SKILL.md
- name:
- audience-analytics
- description:
- Analyze visitor data, attendance patterns, and engagement metrics to inform programming decisions and measure organizational impact
- allowed-tools:
- Read, Grep, Write, Edit, Glob, Bash, WebFetch
Audience Analytics
Analyze visitor data, attendance patterns, and engagement metrics to inform programming decisions and measure organizational impact.
Overview
This skill enables systematic analysis of audience data for cultural organizations. It encompasses visitor research, attendance analysis, engagement measurement, and impact assessment to inform strategic and programmatic decision-making.
Capabilities
Visitor Data Analysis
- Analyze ticketing and admission data
- Segment audiences by demographics
- Track membership and repeat visitation
- Evaluate geographic reach
- Assess visitor pathways and behaviors
Attendance Patterns
- Identify seasonal and temporal trends
- Analyze program-specific attendance
- Compare historical performance
- Forecast future attendance
- Benchmark against peers
Engagement Metrics
- Measure digital engagement
- Track social media performance
- Assess email and marketing effectiveness
- Evaluate program participation
- Monitor membership engagement
Impact Assessment
- Develop impact indicators
- Measure educational outcomes
- Assess community benefit
- Calculate economic impact
- Report on mission achievement
Usage Guidelines
Data Collection
- Establish data collection protocols
- Ensure privacy compliance
- Integrate multiple data sources
- Maintain data quality standards
- Document methodology
Analysis Approaches
- Apply descriptive statistics
- Conduct trend analysis
- Perform segmentation studies
- Use predictive modeling
- Create visualization dashboards
Reporting Standards
- Tailor reports to stakeholder needs
- Visualize data effectively
- Provide actionable insights
- Document limitations
- Track metrics over time
Integration Points
Related Processes
- Marketing Campaign Process
- Visitor Experience Design Process
- Cultural Impact Assessment Process
Collaborating Skills
- donor-relationship-management
- digital-engagement-strategy
References
- AAM Visitor Studies resources
- Visitor Studies Association standards
- Cultural analytics methodologies
- Museum metrics frameworks
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