creative-performance-analyzer
Analyze creative performance post-launch across Meta (Facebook/Instagram), TikTok Ads, YouTube Ads, Google Ads, and Amazon Ads inventory.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/danyangliu-sandwichlab/creative-performance-analyzerWhat This Skill Does
The creative-performance-analyzer is a specialized OpenClaw skill designed to transform raw advertising data into actionable creative strategy. It moves beyond simple metrics by performing automated winner/loser detection, identifying creative fatigue signals, and generating a systematic next-test matrix. Whether you are running campaigns on Meta, TikTok, YouTube, Google, or Amazon, this skill ensures your creative spend is optimized for specific business outcomes like ROAS, CPA, and revenue growth. It bridges the gap between data analytics and creative production by mapping performance insights directly into a structured creative brief, complete with hook variants, asset specifications, and compliance checkpoints.
Installation
To integrate this skill into your OpenClaw environment, execute the following command in your terminal:
clawhub install openclaw/skills/skills/danyangliu-sandwichlab/creative-performance-analyzer
Ensure you have the latest version of the OpenClaw CLI and active permissions to the source repository.
Use Cases
- Ad Fatigue Recovery: When your high-performing ads see a dip in CTR, trigger this skill to analyze fatigue and generate a new batch of variants that refresh the hook while keeping the winning core angle.
- Cold Traffic Acquisition: Use the skill to generate problem-agitation and proof-first hooks designed to capture interest for new, non-aware audiences on Meta or TikTok.
- Cross-Channel Creative Audits: When you have budget to shift, use the skill to compare platform-specific performance (e.g., Google vs. Amazon) to decide which creative formats and angles deserve increased budget allocation.
- Launch Strategy: Create a structured test variant matrix for new product launches, ensuring your initial ad sets are optimized for both demand capture and brand storytelling.
Example Prompts
- "Analyze our current Meta campaign; our CPA has risen by 20% over the last 48 hours. Detect if this is fatigue or an audience issue and suggest a new hook set."
- "We are launching on TikTok Ads for the first time. Create a test variant matrix for our wellness app, focusing on high-intent conversion."
- "Our Amazon Ads ROAS is flat. Create an actionable plan to adjust our creative assets for our best-selling SKU to better align with high-intent search queries."
Tips & Limitations
- Data Integrity: The quality of the analysis is dependent on the input data. Ensure your tracking is accurate; the skill will flag if it suspects data gaps.
- Channel Specifics: Always specify the placement scope. The skill differentiates heavily between demand-capture (Google/Amazon) and discovery-based platforms (Meta/TikTok).
- Risk Management: Always review the 'Creative QA' section provided in the output; the skill enforces compliance guardrails but human oversight is required for sensitive industries like health or finance.
- Scope: This skill is strictly for creative and performance strategy. It does not perform automated bidding or platform setting changes.
Metadata
Not sure this is the right skill?
Describe what you want to build — we'll match you to the best skill from 16,000+ options.
Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-danyangliu-sandwichlab-creative-performance-analyzer": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Related Skills
cmo-ads-helper
Support CMO-level planning across Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, Shopify Ads, and DSP/programmatic with revenue, profit, cashflow, ROAS, and LTV strategy modeling.
landing-page-optimizer
Optimize conversion pages for paid traffic from Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, and Shopify Ads journeys.
crm-lead-manager
Manage ad-generated leads and pipeline routing from Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, and landing-page funnels.
traffic-structure-analyzer
Analyze traffic composition and quality trends from Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, and DSP/programmatic channels.
roas-forecast-attribution-modeler
Build ROAS forecasting and attribution-model assumptions for Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, Shopify Ads, and DSP/programmatic planning.