creative-report

Analyze ad-level performance metrics to identify high-performing creatives and detect fatigue patterns.

Updated Jul 29, 2026
One-click install
npx skills add https://github.com/akvinayaktiwari/mstack --skill creative-report
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: creative-report
Source: https://github.com/akvinayaktiwari/mstack/tree/main/creative-report
Command: npx skills add https://github.com/akvinayaktiwari/mstack --skill creative-report

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires jq.

What problem does it solve?

This skill solves the problem of misinterpreting ad performance data, helping marketers distinguish between statistical noise and genuine creative fatigue to avoid killing winning ads or scaling failing ones.

Core Features & Use Cases

  • Performance Analysis: Evaluates ad-level metrics including spend, CTR, and conversion data to identify true winners.
  • Fatigue Detection: Monitors frequency and CTR trends to pinpoint when creative assets are losing effectiveness.
  • Use Case: Use this skill when you need to decide which ads to scale and which to replace, ensuring your budget is allocated based on reliable performance trends rather than short-term variance.

Quick Start

Ask the creative-report skill to analyze the current performance of your active ad campaigns and identify which creatives are showing signs of fatigue.

Frequently Asked Questions about creative-report

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

FAQPage Schema
How do I detect creative fatigue in my advertising campaigns?

Detect creative fatigue by analyzing ad-level performance metrics like frequency and CTR trends. This identifies when your creative assets are losing effectiveness, helping you avoid prematurely scaling failing ads or killing winning ones due to statistical noise.

What is the best way to analyze ad performance data to decide which creatives to scale?

The best way to analyze ad performance is by evaluating spend, CTR, and conversion data to identify true winners. This approach ensures your budget is allocated based on reliable performance trends rather than short-term variance.

How do I distinguish between statistical noise and genuine creative fatigue?

Distinguish statistical noise from genuine creative fatigue by monitoring frequency and CTR trends over time. This data-driven method pinpoints exactly when creative assets are losing effectiveness, preventing the misinterpretation of your ad performance data.

Do I need a browser-based ad management interface to monitor ad-level metrics?

Yes, you need integration with a browser-based ad management interface to fetch and interpret real-time performance data. This environment is required to access spend, CTR, and conversion data for your active marketing ad accounts.

What are the limitations of using jq for ad performance analysis?

Using jq for ad performance analysis limits you to processing JSON data structures, which requires fetching raw data from your browser-based ad management interface first. It does not directly connect to ad platform APIs to pull data automatically.

Can I use creative fatigue detection for marketing campaigns with short-term variance?

Yes, creative fatigue detection works for campaigns with short-term variance by distinguishing it from genuine performance drops. Analyzing frequency and CTR trends ensures you replace losing creatives and keep winning ones running effectively.