ad-campaign-analyzer
Analyze ad campaign performance data (Google, Meta, LinkedIn) to identify what's working, what's wasting budget, and specific cut/scale/test recommendations. Runs statistical analysis, funnel diagnostics, and multi-channel budget reallocation with specific dollar-amount shift recommendations and scenario modeling.
npx skills add gooseworks-ai/goose-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 Take raw campaign performance data and turn it into clear decisions. This skill doesn't just summarize metrics — it diagnoses problems, identifies winners, checks statistical significance, and tells you exactly what to cut, scale, and test next. Then it goes further: it compares channels on equal terms, finds where you're over-spending vs under-spending relative to results, and produces a concrete budget reallocation plan. **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 - "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 m
- When to Use
- 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: Budget Waste Detection
- 2C: Winner Identification
- 2D: Statistical Significance Check
- Phase 3: Funnel Analysis
- Click → Conversion Path
- Funnel Drop-Off Diagnosis
What does the ad-campaign-analyzer skill do?
Analyze ad campaign performance data (Google, Meta, LinkedIn) to identify what's working, what's wasting budget, and specific cut/scale/test recommendations. Runs statistical analysis, funnel diagnostics, and multi-channel budget reallocation with specific dollar-amount shift recommendations and scenario modeling.
How do I install it?
Run `npx skills add gooseworks-ai/goose-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 gooseworks-ai/goose-skills, a repository with 1,091 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.