ad-campaign-analyzer
Analyze cross-channel campaign data, quantify uncertainty, and propose evidence-labeled budget tests without overstating causality.
Profile →npx skills add sickn33/agentic-awesome-skills --skill ad-campaign-analyzer --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Ad Campaign Analyzer ## Overview Take raw campaign performance data and turn it into testable decisions. Normalize the inputs, distinguish descriptive results from causal evidence, quantify uncertainty when the data supports it, and propose bounded budget experiments. **Core principle:** Most startup founders check their ad dashboard, see a ROAS number, and either panic or celebrate. This skill gives you the nuanced analysis a paid media specialist would: what's actually significant, what's noise, and where your next dollar should go. It also solves the allocation problem — most startups either spread budget too thin across channels (no channel gets enough to learn) or dump everything into one channel (missing cheaper opportunities elsewhere). ## When to Use This Skill - "Analyze my Google Ads performance" - "Which ads should I kill?" - "Is this campaign working?" - "Where am I wasting ad spend?" - "Optimize my Meta Ads" - "How should I split my ad budget?" - "Should I spend more on Google or Meta?" - "Reallocate my ad spend across channels" - "Where am I getting the best return?" - "I have $X/month for ads — how should I distribute it?" ## Phase 0: Intake 1. **Campaign data** —
- Overview
- When to Use This Skill
- Phase 0: Intake
- Phase 1: Data Ingestion & Normalization
- Accepted Data Formats
- Multi-Channel Normalization
- Funnel-Adjusted CAC (If Funnel Data Available)
- Phase 2: Performance Diagnostics
- 2A: Campaign-Level Health Check
- 2B: Investigation Candidates
- 2C: Observed High Performers
- 2D: Statistical Significance Check
- Phase 3: Funnel Analysis
- Click → Conversion Path
What does the ad-campaign-analyzer skill do?
Analyze cross-channel campaign data, quantify uncertainty, and propose evidence-labeled budget tests without overstating causality.
How do I install it?
Run `npx skills add sickn33/agentic-awesome-skills --skill ad-campaign-analyzer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From sickn33/agentic-awesome-skills, a repository with 44,414 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.