social-media-analyzer

Calculate engagement, click-through, and return on ad spend from social campaign data.

Updated Jun 27, 2026
One-click install
npx skills add https://github.com/JDMAXilius/Brand-building --skill social-media-analyzer-jdmaxilius
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: social-media-analyzer
Source: https://github.com/JDMAXilius/Brand-building/tree/main/skills/social-media-analyzer
Command: npx skills add https://github.com/JDMAXilius/Brand-building --skill social-media-analyzer-jdmaxilius

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Manually calculating social media campaign metrics, comparing performance against industry benchmarks, and deriving actionable insights from raw campaign data is time-consuming and prone to error. This Skill automates the entire workflow to deliver accurate, data-driven recommendations in seconds.

Core Features & Use Cases

  • Automated Metric Calculation: Computes engagement rate, click-through rate (CTR), reach rate, virality rate, and save rate for individual posts and full campaigns, plus cost efficiency metrics (CPE, CPC, CPM) and ROI when ad spend is provided.
  • Benchmark Comparison: Evaluates performance against 2026 industry standards for Instagram, Facebook, LinkedIn, TikTok, and Twitter/X to identify top and bottom performing content.
  • Actionable Recommendations: Generates tailored optimization steps based on performance gaps, including content format adjustments, posting frequency changes, and budget allocation guidance.
  • Use Case: A social media manager can input their Facebook ad campaign data to quickly calculate their ROI, see how their engagement rate compares to industry averages, and get specific steps to improve their next campaign's performance.

Quick Start

Use the social-media-analyzer skill to analyze your latest Instagram campaign's performance and get prioritized recommendations to improve ROI.

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 engagement rate and compare it to industry benchmarks?

To calculate social media engagement rate and compare it to industry benchmarks, input your post-level metrics into the analyzer. It automatically computes engagement rates and evaluates your performance against 2026 standards for platforms like Instagram, Facebook, LinkedIn, TikTok, and Twitter/X.

Can I measure return on ad spend for cross-platform social media campaigns?

Yes, you can measure return on ad spend for cross-platform social media campaigns by providing structured post-level engagement metrics alongside your ad spend data. The analyzer calculates cost efficiency metrics like CPE, CPC, CPM, and overall ROI.

What is the best way to analyze raw social media campaign data for actionable insights?

The best way to analyze raw social media campaign data for actionable insights is to use an automated analyzer that calculates core performance metrics and generates prioritized optimization recommendations, identifying content format adjustments and budget allocation guidance.

Does the social media analyzer require ad spend data to calculate campaign performance?

No, the social media analyzer does not require ad spend data to calculate core campaign performance. While optional ad spend data enables ROI and cost efficiency calculations, structured post-level engagement metrics are sufficient to compute engagement rate, click-through rate, and virality rate.

How do I get optimization recommendations for my Facebook ad campaign performance?

To get optimization recommendations for your Facebook ad campaign performance, input your campaign data into the analyzer. It generates tailored optimization steps based on performance gaps against industry averages, including posting frequency changes and content format adjustments.