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.
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npx claudepluginhub felipeverce/3qs --plugin 3qsFree-first paid advertising audit and AI creative generation for Claude Code, focused on the 3 platforms where 95% of advertiser spend lives: Meta, Google, TikTok. Includes a guided first-run wizard (/ads start) with step-by-step OAuth verification and a continuous coach (/ads next) that ranks Quick Wins after every audit. ~158 weighted audit checks, parallel agents, industry templates, PPC math, A/B test design, PDF reports, /ads update for refreshing platform references, and /ads publish to 14+ social networks via Zernio (free for 2 accounts).
Production performance marketing automation for Claude. Audit accounts, launch campaigns, rotate creative, and diagnose underperformers across Google Ads, Meta Ads, GA4, Shopify, HubSpot, and 20+ more. Approval-gated writes.
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 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.
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.
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.