ad-lead-quality-analyzer
For paid lead-gen and participant-recruitment ads, replaces vanity CPA with true CAC per qualified lead by joining ad-platform data with downstream funnel events, surfaces tracking gaps, and classifies every creative into Scale / Keep / Investigate / Cut.
npx skills add gooseworks-ai/goose-skills --skill ad-lead-quality-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 Lead Quality Analyzer Meta optimizes for whatever conversion event you fire. For lead-gen and participant-recruitment campaigns that's almost always "signup" — but a signup is worthless if the lead never qualifies, never completes the requested action, or never gets paid out. The lowest-CPA campaign is often the one bringing in the *worst* leads. This skill joins what the ad platform knows (spend, signups) with what your own product knows (downstream funnel) and replaces vanity CPA with **true CAC per qualified lead**. It then classifies every creative into actionable buckets so you stop scaling the wrong winners. **Core principle:** The ad platform's CPA is a half-truth. Real optimization needs both halves of the funnel — pre-signup (the platform has it) and post-signup (you have it). Until they're joined, you're flying blind. ## When to Use - "Which ads are bringing in real leads vs. junk?" - "True CAC per qualified contributor / customer / participant" - "Why is my lowest-CPA campaign performing worst downstream?" - "Audit lead quality across creatives / audiences / placements" - "Should I trust Meta's CPA when scaling?" - "Find the creatives that look like winners but aren
- When to Use
- Pipeline Pattern Assumptions (Read First)
- Phase 0: Discovery Interview
- Phase 1: Tracking Validation (Gating Step)
- Phase 2: Build the Per-Creative Funnel
- Phase 3: Compute True CAC
- Phase 4: Score and Classify Each Creative
- Phase 5: Cohort Maturation Handling
- Phase 6: Generate Report
- Tracking-Gap Mode (Output if Phase 1 Fails)
- Output Standards (Mandatory)
- What This Skill Will Not Do
- Related Skills
What does the ad-lead-quality-analyzer skill do?
For paid lead-gen and participant-recruitment ads, replaces vanity CPA with true CAC per qualified lead by joining ad-platform data with downstream funnel events, surfaces tracking gaps, and classifies every creative into Scale / Keep / Investigate / Cut.
How do I install it?
Run `npx skills add gooseworks-ai/goose-skills --skill ad-lead-quality-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.