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creative_performance

Classify Meta Ads creatives into performance tiers using funnel and trend analysis.

17|5|Updated Jun 25, 2026
Search Tags:#marketing analytics#funnel analysis#meta ads#ad performance#creative strategy#creative fatigue
One-click install
npx skills add https://github.com/portermetricsample/marketing-skills --skill creative-performance
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: creative_performance
Source: https://github.com/portermetricsample/marketing-skills/tree/main/meta-ads/analysis/creative_performance
Command: npx skills add https://github.com/portermetricsample/marketing-skills --skill creative-performance

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This skill removes the guesswork from Meta Ads management by providing an objective, framework-based classification for ad creatives, helping marketers decide exactly which ads to scale, refresh, or cut.

Core Features & Use Cases

  • Creative Funnel Analysis: Evaluates ads across a 3-stage funnel (Attention, Engagement, Click) rather than relying on a single metric.
  • Adaptive Benchmarking: Automatically adjusts performance thresholds based on account-specific data, ensuring relevance for any vertical.
  • Fatigue Detection: Identifies creative fatigue using weekly trend analysis to prevent over-spending on declining assets.
  • Use Case: Use this skill to audit your Meta Ads account and identify which creatives are "Unicorns" ready for budget scaling versus "Losing" ads that should be paused immediately.

Quick Start

Run the creative performance classifier on the current Meta Ads dataset to generate a list of creative verdicts and trend insights.

Frequently Asked Questions about creative_performance

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

FAQPage Schema
How do I classify Meta Ads creatives into performance tiers?▼

Classify Meta Ads creatives by evaluating ad-rate metrics across a 3-stage funnel framework of Attention, Engagement, and Click to assign performance tiers including Unicorn, Winning, Steady, Fatiguing, and Losing.

What is creative fatigue detection in Meta Ads?▼

Creative fatigue detection identifies declining Meta Ads assets by analyzing weekly trend data, preventing over-spending on ads that are losing effectiveness and requiring creative refresh.

Do I need a specific data connector for Meta Ads funnel analysis?▼

Yes, Meta Ads funnel analysis requires Porter Metrics connector data including spend, impressions, link clicks, and video play actions to calculate volume-weighted benchmarks accurately.

How does adaptive benchmarking work for ad performance analysis?▼

Adaptive benchmarking automatically adjusts performance thresholds based on account-specific data, ensuring relevant creative evaluation for any vertical rather than using static industry averages.

What is the best way to decide which Meta Ads to scale or cut?▼

The best way to decide scaling or cutting is using a framework-based classifier that evaluates ads across a 3-stage funnel to provide objective verdicts on whether to scale, iterate, or pause.

Can I use matplotlib for visualizing ad-rate metrics and trends?▼

Yes, the skill requires matplotlib to generate visual outputs for analyzing weekly trend data and ad-rate metrics across the 3-stage creative funnel framework.

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