test-analysis

Analyze marketing creative test metrics and generate heatmap visualizations.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/WalkerHi11/mediabuy-plugins --skill test-analysis
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: test-analysis
Source: https://github.com/WalkerHi11/mediabuy-plugins/tree/main/.claude/skills/test-analysis
Command: npx skills add https://github.com/WalkerHi11/mediabuy-plugins --skill test-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the analysis of marketing creative test results, helping you quickly identify winning elements and make data-driven decisions to improve campaign performance.

Core Features & Use Cases

  • Performance Metric Analysis: Ingests key metrics like CPL, CPA, CTR, and CVR.
  • Visual Heatmap Generation: Creates visual representations of test performance for 2x2 or image/avatar tests.
  • Statistical Winner Identification: Applies defined criteria to determine statistically significant winners.
  • Actionable Categorization: Classifies creatives into SCALE, ITERATE, KILL, or TEST MORE categories.
  • Reporting: Generates a comprehensive analysis report with recommendations.
  • Use Case: After running a Facebook ad test with multiple headlines and images, use this Skill to analyze the results, identify which combinations are performing best against your target CPA, and get clear recommendations on which ads to scale, iterate on, or kill.

Quick Start

Analyze the performance data for the 'Summer Sale Campaign' test, focusing on CPA and CVR metrics.

Frequently Asked Questions about test-analysis

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

FAQPage Schema
How do I analyze ad testing results to identify statistical winners?

Ad testing analysis ingests performance metrics like CPA, CTR, and CVR to apply defined criteria and identify statistical winners, categorizing creatives into SCALE, ITERATE, KILL, or TEST MORE based on your defined target goals.

What is the best way to visualize marketing creative test performance?

Visualizing marketing creative test performance is handled by generating heatmap visualizations for 2x2 or image/avatar tests, allowing you to quickly identify which creative combinations drive the best campaign results.

How do I optimize campaigns when my CPA is too high?

To optimize campaigns with high CPA, you can analyze creative test results to categorize ads into SCALE, ITERATE, KILL, or TEST MORE buckets, generating a report with actionable recommendations to improve performance.

Can I use this for Facebook ad creative analysis with CPL and CVR metrics?

Facebook ad creative analysis supports metrics like CPL and CVR by ingesting your performance data, identifying statistically significant winners, and outputting a comprehensive report with actionable recommendations for campaign optimization.

What data do I need to provide for marketing creative analysis?

Marketing creative analysis requires performance metrics such as CPL, CPA, CTR, and CVR from your campaign tests, along with defined criteria to determine statistical winners and categorize creatives for optimization.

When should I kill or scale an ad creative during testing?

You should kill or scale an ad creative based on statistical winner identification, which categorizes creatives into SCALE, ITERATE, KILL, or TEST MORE by analyzing metrics like CPA and CVR against your defined target criteria.