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By felipeverce
Analyze Meta/Facebook/Instagram ad campaigns using the 3 Q's methodology with traffic-light benchmarks from the Meta Marketing API, diagnosing conversion issues, evaluating ROAS/CPL/CPM/CTR, auditing sales funnels, detecting audience fatigue, and recommending optimizations.
npx claudepluginhub felipeverce/3qs --plugin 3qsShare bugs, ideas, or general feedback.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Multi-host paid advertising audit & optimization skill conforming to the Agent Skills open standard. Verified on Claude Code; experimental on Codex CLI, Cursor, Windsurf, Gemini CLI, Goose. 250+ checks across Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple & Amazon Ads with weighted scoring, parallel agents, 12 industry templates, AI creative generation, PPC math, A/B test design, PDF reports, attribution + server-side tracking deep dives, and a 41-test pytest eval harness.
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Brand-specific performance marketing agent. Create, analyze, and optimize campaigns across Google Ads, Meta Ads, LinkedIn Ads, and TikTok Ads with brand awareness, persistent memory, and data-driven recommendations.
The official Google Ads + Meta Ads + SEO + GEO plugin from NotFair. SEO analysis, Google Ads management, Meta (Facebook + Instagram) Ads management, keyword research, content optimization, schema markup tools, broken link checker, single-page deep audit, and Generative Engine Optimization (GEO) for AI search engines — powered by Google Search Console, Google Ads, and Meta Marketing APIs.
The AI Agent Operator for Ads. Manage campaigns, analyze performance, research competitors, and generate creatives across Google Ads, Meta, LinkedIn, Reddit, Microsoft Ads, and more — all from Claude Code.
Marketing analysis suite with 7 skills and 4 parallel agents — audit paid campaigns, find SEO opportunities, detect churn signals, and generate branded PDF reports. Powered by a tested analysis engine (ds_utils.py, 113 functions). Works automatically with Dataslayer MCP or manually with CSV/JSON data.
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