ad-analysis

Analyze paid social ad performance data and generate testable hypotheses.

2|4|Updated Apr 4, 2026

Search Tags:#paid social #hypothesis generation #performance data #ad analysis #creative deconstruction

Ready to run

npx skills add https://github.com/ScaleAcademy/creative-strategist-skills --skill ad-analysis

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ad-analysis
Source: https://github.com/ScaleAcademy/creative-strategist-skills/tree/main/05-analysis/ad-analysis
Command: npx skills add https://github.com/ScaleAcademy/creative-strategist-skills --skill ad-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps you deconstruct ad performance data to understand why ads work or fail, extract learnings, and generate testable hypotheses.

Core Features & Use Cases

Performance Data Analysis: Read and organize key metrics like Hook Rate, CTR, and CPA.
Creative Deconstruction: Analyze the creative structure across hook, body, CTA, and format.
Diagnosis and Hypothesis Generation: Identify the primary cause of performance and generate 3 actionable test hypotheses.
Use Case: After a creative has accumulated significant spend, use this Skill to analyze its performance data and generate hypotheses for future tests.

Quick Start

Analyze the performance data of the ad 'example-ad.jpg' and generate hypotheses.

Frequently Asked Questions about ad-analysis

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

FAQPage Schema

How do I analyze paid social ad performance data to understand why a creative failed?▼

Creative deconstruction breaks down your paid social ads into hook, body, CTA, and format components to diagnose performance issues. By analyzing how each element impacts metrics like CTR and CPA, it identifies the structural causes of creative failure.

How do I generate testable hypotheses from my ad creative performance data?▼

Generating testable hypotheses requires analyzing accumulated performance metrics from your paid social campaigns to extract actionable learnings. This process transforms your ad analysis results into three specific, structured hypotheses for your next creative tests.

What metrics do I need to analyze ad performance and generate creative hypotheses?▼

Analyzing ad performance requires key metrics like Hook Rate, CTR, and CPA to diagnose creative effectiveness and generate hypotheses. You must provide access to this creative performance data from your paid social campaigns for accurate analysis.

When should I run an ad creative deconstruction analysis on my paid social campaigns?▼

Creative deconstruction should be conducted after a paid social ad has accumulated significant spend, ensuring the performance data is stable enough for analysis. This timing allows you to accurately diagnose the creative components and extract reliable hypotheses.

Can I use ad analysis to diagnose both successful and failed paid social campaigns?▼

Ad analysis evaluates both successful and failed paid social campaigns by deconstructing their creative components and performance metrics. It identifies the specific reasons driving either outcome, allowing you to extract learnings and generate hypotheses regardless of performance.