Social Media Analyzer Skill for Claude

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

• Ensure data completeness before analysis (missing metrics affect accuracy)
• Compare metrics within same time periods for fair comparisons
• Consider platform-specific benchmarks (Instagram engagement differs from LinkedIn)
• Account for organic vs. paid metrics separately
• Track metrics over time to identify trends
• 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)