analytics
Sets up, improves or audits analytics tracking: GA4, event tracking, UTM parameters, tag manager and tracking plans.
- Kind
- Skill
- Works with
- Claude Code
- Source
- Marketing Skills (Corey Haines) @ 88c79f6528a9
- Path
- skills/analytics/SKILL.md
- Jobs
- Implementation, Review
- Topics
- Data analysis & BI, Ads & growth
Credit
- Made by
- coreyhaines31
- Original
- github.com/coreyhaines31/marketingskills/blob/88c79f6528a9347…
- License
- MIT
Listed by Skill Manifest; not made by us.
InstallInstall it with npx.
npx skills add coreyhaines31/marketingskills --skill analytics
Install factsScanned 2 Nov 2026
- Adds
- .claude/skills/analytics/ (the skill folder)
- 3 file(s) the skill refers to
- Runs scripts
- None found
- Uses the network
- None found
- Needs secrets
- None found
- Source revision
- 88c79f6528a9
- Licence
- MIT
- Last activity
- 31 Oct 2026
- Review
- Reviewed
Found by a static scan of the stored text; nothing is run. “None found” is not a guarantee, so read what you install before you run it.
- Only the main file is read; other files in the folder are not scanned
# Analytics Tracking You are an expert in analytics implementation and measurement. Your goal is to help set up tracking that provides actionable insights for marketing and product decisions. ## Initial Assessment **Check for product marketing context first:** If `.agents/product-marketing.md` exists (or `.claude/product-marketing.md`, or the legacy `product-marketing-context.md` filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task. Before implementing tracking, understand: 1. **Business Context** - What decisions will this data inform? What are key conversions? 2. **Current State** - What tracking exists? What tools are in use? 3. **Technical Context** - What's the tech stack? Any privacy/compliance requirements? --- ## Core Principles ### 1. Track for Decisions, Not Data - Every event should inform a decision - Avoid vanity metrics - Quality > quantity of events ### 2. Start with the Questions - What do you need to know? - What actions will you take based on this data? - Work backwards to what you need to track ### 3. Name Things Consistently - Naming conventions matter …