Which platforms does the Social Media Analyzer support?

The skill supports performance analysis for Instagram, Facebook, TikTok, LinkedIn, and Twitter (X).

What data is required for a full analysis?

For the best results, you should provide post-level data including platform type, likes, comments, shares, saves, reach, and total spend for ROI calculations.

How does it calculate social media ROI?

It uses total ad spend against weighted engagement values (likes, comments, shares, etc.) to calculate Cost Per Engagement (CPE) and overall ROI percentage.

Does it provide industry benchmarks?

Yes, it compares your campaign metrics against built-in industry averages for engagement rates, CTR, and CPC to determine if performance is excellent, good, average, or poor.

Social Media Analyzer

Name: Social Media Analyzer
Author: alirezarezvani

byalirezarezvani

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9,958

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Gestión de Redes Sociales

Analyzes social media campaign performance by calculating engagement rates, ROI, and benchmarking metrics across multiple platforms.

The Social Media Analyzer skill enables Claude to perform comprehensive audits and performance tracking for social media campaigns across platforms like Instagram, TikTok, LinkedIn, and Facebook. It automates complex calculations including Engagement Rate, CTR, and ROI while validating data integrity and comparing results against industry-standard benchmarks. By identifying top-performing content and cost-efficiency patterns, it provides actionable recommendations to help marketing teams scale successful strategies and optimize underperforming channels.

Características Principales

01Performance-based scaling and optimization recommendations

02Data validation checks to ensure reach, spend, and engagement accuracy

039,958 GitHub stars

04Automated engagement rate and ROI/ROAS calculations based on ad spend

05Multi-platform metric tracking for Instagram, Facebook, TikTok, LinkedIn, and Twitter

06Comprehensive platform benchmarking for CTR, CPC, and engagement metrics

Casos de Uso

01Benchmarking brand engagement rates against industry-specific averages

02Calculating the ROI of paid social campaigns to justify marketing spend

03Performing a monthly social media audit to rank content performance and reach

Características Principales

01Performance-based scaling and optimization recommendations

02Data validation checks to ensure reach, spend, and engagement accuracy

039,958 GitHub stars

04Automated engagement rate and ROI/ROAS calculations based on ad spend

05Multi-platform metric tracking for Instagram, Facebook, TikTok, LinkedIn, and Twitter

06Comprehensive platform benchmarking for CTR, CPC, and engagement metrics

Casos de Uso

01Benchmarking brand engagement rates against industry-specific averages

02Calculating the ROI of paid social campaigns to justify marketing spend

03Performing a monthly social media audit to rank content performance and reach