Diagnose paid acquisition performance issues across advertising and commerce data.
npx skills add https://github.com/Largo2z9/phantomos --skill analyze-perf
Please help me install this Agent Skill. Skill: analyze-perf Source: https://github.com/Largo2z9/phantomos/tree/main/.skills/skills/analyze-perf Command: npx skills add https://github.com/Largo2z9/phantomos --skill analyze-perf
This Skill solves the challenge of understanding paid acquisition performance drops by turning fragmented advertising and commerce signals into a structured diagnostic with evidence-backed recommendations.
Ask the analyze-perf skill to perform a deep dive performance audit for the brand and diagnose the main causes of a ROAS decline.
High-intent search queries and answers about installing and using this skill.
To diagnose a ROAS drop, you analyze cross-platform advertising and commerce data to identify causes of efficiency changes. This process reconciles attribution differences across Meta, Google, and TikTok to produce evidence-backed performance insights.
The best way to investigate Meta Ads performance decline is applying a structured diagnostic workflow. This analyzes paid signals and commerce metrics to identify issues like creative fatigue or audience saturation and prioritizes recovery actions.
Attribution reconciliation works by comparing cross-platform advertising data from networks like Meta and Google against commerce metrics from Shopify or TripleWhale to identify discrepancies causing efficiency changes.
Yes, paid performance analysis identifies audience saturation and creative fatigue by evaluating structured diagnostic workflows. It transforms fragmented advertising signals into ranked levers and focused next-step questions for DTC growth operations.
You need encoded brand data, paid platform signals, and commerce metrics for a performance audit. Accessing data from platforms like Meta, Google, TikTok, Shopify, TripleWhale, and Klaviyo enables a comprehensive diagnostic of efficiency changes.
ROAS fluctuates across advertising platforms due to attribution gaps, creative fatigue, or audience saturation. A structured diagnostic framework analyzes these observed facts and unknowns to pinpoint the exact causes of efficiency changes.
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