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social-media-analyzer

Compute engagement rates, ROI, and benchmark comparisons from social media campaign datasets.

Updated Mar 5, 2026
Search Tags:#benchmark#roi#analyze#social-media#platform-analysis#engagement-rate
One-click install
npx skills add https://github.com/theandyalvarez7-ruby/claude-skills --skill social-media-analyzer-theandyalvarez7-ruby
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: social-media-analyzer
Source: https://github.com/theandyalvarez7-ruby/claude-skills/tree/main/marketing-skill/social-media-analyzer
Command: npx skills add https://github.com/theandyalvarez7-ruby/claude-skills --skill social-media-analyzer-theandyalvarez7-ruby

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

Social Media Analyzer helps marketing teams quickly evaluate campaign performance across platforms by calculating engagement rates, ROI, and benchmarking against industry standards.

Core Features & Use Cases

  • Engagement rate calculation across posts and campaigns
  • ROI and benchmark comparisons to guide optimization
  • Cross-platform analysis for Instagram, Facebook, LinkedIn, TikTok, and Twitter
  • Use cases: analyzing campaign performance, benchmarking, improving content strategy, ROI optimization

Quick Start

Provide a campaign dataset (platform, posts with likes, comments, shares, reach, impressions, and spend) to generate metrics, benchmarks, and actionable recommendations.

Frequently Asked Questions about social-media-analyzer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I calculate social media campaign ROI and engagement rates across multiple platforms?▼

Social media campaign ROI and engagement rates are calculated by processing datasets containing platform data, post-level metrics like likes and clicks, and spend to generate campaign-level insights and benchmark comparisons.

What metrics do I need to benchmark my social media campaigns against industry standards?▼

To benchmark social media campaigns you need datasets containing platform, post-level metrics including likes, comments, shares, saves, reach, impressions, clicks, and spend to compute ROI and engagement rate comparisons.

Can I analyze campaign performance for Instagram, Facebook, LinkedIn, TikTok, and Twitter in one place?▼

Yes, cross-platform analysis supports Instagram, Facebook, LinkedIn, TikTok, and Twitter by computing metrics like CTR and ROI from your dataset to deliver unified campaign-level insights and optimization recommendations.

What is the best way to identify top performing social media posts and optimize my content strategy?▼

The best way to identify top posts and optimize content strategy is to analyze post-level metrics using Python scripts that compute engagement rates and benchmarks, exporting structured results for visualization.

Does this social media analyzer work with structured JSON exports for data visualization?▼

Yes, the social media analyzer exports computed metrics, ROI calculations, and benchmark alignment results in structured JSON format, making the output ready for immediate data visualization.

How do I get optimization recommendations for my social media ad spend?▼

Optimization recommendations for social media ad spend are generated by computing ROI and engagement rates from your campaign dataset and comparing the results against industry benchmark standards.

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