MCPInstall

social-media-analyzer

Analyzes social media campaign performance across platforms with engagement metrics, ROI calculations, and audience insights for data-driven marketing decisions

Installs
74
Last 24h
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Trending rank
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Security
Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/alirezarezvani/claude-code-skill-factory --skill social-media-analyzer
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads social-media-analyzer automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Social Media Campaign Analyzer

This skill provides comprehensive analysis of social media campaign performance, helping marketing agencies deliver actionable insights to clients.

Capabilities

  • Multi-Platform Analysis: Track performance across Facebook, Instagram, Twitter, LinkedIn, TikTok
  • Engagement Metrics: Calculate engagement rate, reach, impressions, click-through rate
  • ROI Analysis: Measure cost per engagement, cost per click, return on ad spend
  • Audience Insights: Analyze demographics, peak engagement times, content performance
  • Trend Detection: Identify high-performing content types and posting patterns
  • Competitive Benchmarking: Compare performance against industry standards

Input Requirements

Campaign data including:

  • Platform metrics: Likes, comments, shares, saves, clicks
  • Reach data: Impressions, unique reach, follower growth
  • Cost data: Ad spend, campaign budget (for ROI calculations)
  • Content details: Post type (image, video, carousel), posting time, hashtags
  • Time period: Date range for analysis

Formats accepted:

  • JSON with structured campaign data
  • CSV exports from social media platforms
  • Text descriptions of key metrics

Output Formats

Results include:

  • Performance dashboard: Key metrics with trends
  • Engagement analysis: Best and worst performing posts
  • ROI breakdown: Cost efficiency metrics
  • Audience insights: Demographics and behavior patterns
  • Recommendations: Data-driven suggestions for optimization
  • Visual reports: Charts and graphs (Excel/PDF format)

How to Use

"Analyze this Facebook campaign data and calculate engagement metrics" "What's the ROI on this Instagram ad campaign with $500 spend and 2,000 clicks?" "Compare performance across all social platforms for the last month"

Scripts

  • calculate_metrics.py: Core calculation engine for all social media metrics
  • analyze_performance.py: Performance analysis and recommendation generation

Best Practices

  1. Ensure data completeness before analysis (missing metrics affect accuracy)
  2. Compare metrics within same time periods for fair comparisons
  3. Consider platform-specific benchmarks (Instagram engagement differs from LinkedIn)
  4. Account for organic vs. paid metrics separately
  5. Track metrics over time to identify trends
  6. Include context (seasonality, campaigns, events) when interpreting results

Limitations

  • Requires accurate data from social media platforms
  • Industry benchmarks are general guidelines and vary by niche
  • Historical data doesn't guarantee future performance
  • Organic reach calculations may vary by platform algorithm changes
  • Cannot access data directly from platforms (requires manual export or API integration)
  • Some platforms limit data availability (e.g., TikTok analytics for business accounts only)

FAQ

What does the social-media-analyzer skill do?

Analyzes social media campaign performance across platforms with engagement metrics, ROI calculations, and audience insights for data-driven marketing decisions

How do I install social-media-analyzer?

Run npx skills add https://github.com/alirezarezvani/claude-code-skill-factory --skill social-media-analyzer in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/social-media-analyzer/ (personal) or .claude/skills/social-media-analyzer/ (project).

Which AI agents can use social-media-analyzer?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is social-media-analyzer safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains social-media-analyzer?

It is published by alirezarezvani in alirezarezvani/claude-code-skill-factory. It has 74 recorded installs.

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