audience-analytics

Analyze visitor data, attendance patterns, and engagement metrics to inform programming decisions and measure organizational impact

509 stars

Best use case

audience-analytics is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Analyze visitor data, attendance patterns, and engagement metrics to inform programming decisions and measure organizational impact

Teams using audience-analytics should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/audience-analytics/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/domains/social-sciences-humanities/arts-culture/skills/audience-analytics/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/audience-analytics/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How audience-analytics Compares

Feature / Agentaudience-analyticsStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Analyze visitor data, attendance patterns, and engagement metrics to inform programming decisions and measure organizational impact

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# 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
1. Establish data collection protocols
2. Ensure privacy compliance
3. Integrate multiple data sources
4. Maintain data quality standards
5. 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

Related Skills

analytics

509
from a5c-ai/babysitter

Google Analytics 4, tag management, and event tracking.

docs-analytics

509
from a5c-ai/babysitter

Documentation usage analytics and insights. Integrate with Google Analytics, Algolia analytics, and custom tracking to measure documentation effectiveness, identify content gaps, and optimize user journeys.

usage-analytics-collector

509
from a5c-ai/babysitter

Privacy-respecting SDK usage analytics collection

product-analytics

509
from a5c-ai/babysitter

Deep integration with product analytics platforms for metrics, funnels, retention, and experimentation. Query Amplitude/Mixpanel/Heap data, generate retention curves, calculate conversion metrics, and build dashboard configurations.

Mobile Analytics

509
from a5c-ai/babysitter

Mobile app analytics and crash reporting integration

game-analytics

509
from a5c-ai/babysitter

Game analytics skill for event tracking.

revenue-cycle-analytics

509
from a5c-ai/babysitter

Analyze revenue cycle performance metrics including denial rates, days in AR, clean claim rates, and collection efficiency to identify improvement opportunities

learning-analytics-interpretation

509
from a5c-ai/babysitter

Analyze learner data from LMS reports, assessments, and engagement metrics to identify patterns and inform instructional decisions

spend-analytics-engine

509
from a5c-ai/babysitter

Procurement spend analysis skill with classification, consolidation, and savings identification

tableau-analytics

509
from a5c-ai/babysitter

Tableau dashboard and visualization integration for sales analytics

chorus-analytics

509
from a5c-ai/babysitter

Chorus.ai conversation intelligence for meeting insights and analytics

pr-analytics

509
from a5c-ai/babysitter

PR measurement and reporting automation following Barcelona Principles with comprehensive analytics and visualization capabilities