How does it help improve future marketing campaigns?

By identifying high-performing content types and trend patterns, it provides data-backed recommendations on what to post and when to post for maximum reach.

Can it calculate ROI for paid advertising?

Yes, it can measure cost-per-engagement (CPE), cost-per-click (CPC), and return on ad spend (ROAS) when provided with ad spend and budget data.

Does this skill connect directly to my social media accounts?

No, for security and privacy, it analyzes the data you provide via exports or manual input rather than requiring direct API access to your accounts.

Which platforms does the Social Media Analyzer support?

The skill supports performance analysis for all major social platforms, specifically Facebook, Instagram, Twitter (X), LinkedIn, and TikTok.

What data formats does this Claude skill accept?

It accepts structured JSON data, CSV exports directly from social media platforms, or plain text descriptions of your key campaign metrics.

Social Media Analyzer

Name: Social Media Analyzer
Author: alirezarezvani

byalirezarezvani

•

1,039

Social Media Management

Analyzes cross-platform social media campaign performance to provide engagement metrics, ROI calculations, and data-driven optimization strategies.

About

The Social Media Analyzer skill empowers marketing professionals and developers to extract deep insights from campaign data across major platforms like Facebook, Instagram, LinkedIn, and TikTok. By processing raw metrics, it calculates vital KPIs such as engagement rates and return on ad spend (ROAS) while identifying audience demographics and peak performance patterns. This tool is ideal for agencies and brands looking to automate reporting, compare multi-channel performance, and turn complex social data into actionable marketing recommendations within their Claude-powered workflow.

Key Features

Multi-platform performance tracking across Facebook, Instagram, LinkedIn, and TikTok
Automated calculation engines for engagement rates, CTR, and ROI
Generates actionable optimization recommendations based on campaign data
1,039 GitHub stars
Deep audience insight analysis including demographics and behavior patterns
Trend detection to identify high-performing content types and posting times

Use Cases

Identifying the most effective content formats and posting schedules for specific audiences
Calculating total ROI and cost efficiency across fragmented multi-channel ad campaigns
Transforming raw CSV or JSON platform exports into comprehensive performance reports

About

Key Features

Multi-platform performance tracking across Facebook, Instagram, LinkedIn, and TikTok
Automated calculation engines for engagement rates, CTR, and ROI
Generates actionable optimization recommendations based on campaign data
1,039 GitHub stars
Deep audience insight analysis including demographics and behavior patterns
Trend detection to identify high-performing content types and posting times

Use Cases

Identifying the most effective content formats and posting schedules for specific audiences
Calculating total ROI and cost efficiency across fragmented multi-channel ad campaigns
Transforming raw CSV or JSON platform exports into comprehensive performance reports