analytics-tracking

kostja94/marketing-skills · updated Apr 8, 2026

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$npx skills add https://github.com/kostja94/marketing-skills --skill analytics-tracking
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summary

Guides analytics implementation: GA4 setup, event tracking, conversions, and data quality. Applies to web and app tracking across marketing channels.

skill.md

Analytics: Tracking

Guides analytics implementation: GA4 setup, event tracking, conversions, and data quality. Applies to web and app tracking across marketing channels.

When invoking: On first use, if helpful, open with 1-2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.

User ID

  • Purpose: Cross-device, cross-session user identification
  • Implementation: Set user_id when user is identified (e.g., login); send to GA4
  • Benefit: Accurate attribution across sessions; better audience building

CTA Attribution (Article ROI)

Track CTA clicks on key articles to measure content ROI:

Action Purpose
Event per CTA e.g., cta_click with content_url, content_type
Conversion Mark as conversion in GA4 for attribution
Use Compare high vs low performers; optimize CTA placement and copy

See seo-monitoring for article database and benchmark context.

Infrastructure Requirements

Component Purpose
Data warehouse Centralized data; BI reporting
Event tracking User behavior; funnel mapping
Attribution Ad pixels; attribution model; impression-to-sale tracking

Optimization flow: Clean UTM + conversion events → attribution reports → optimize channel mix.

Scope

  • GA4: Web data stream, gtag.js, configuration
  • User ID: Cross-device, cross-session identification
  • CTA attribution: Per-article conversion tracking for content ROI
  • Events: Recommended and custom events
  • Conversions: Key events, parameters
  • Quality: Naming, testing, validation

GA4 Setup

Prerequisites

  • Google Analytics property and web data stream
  • Google tag (gtag.js) on all pages
  • Measurement ID (e.g., G-XXXXXXXXXX)

Enhanced Measurement

Enable in Admin > Data Streams > Enhanced Measurement for automatic tracking of:

  • Page views, scrolls, outbound clicks
  • Site search, file downloads
  • Video engagement (YouTube)

Event Tracking

Event Types

Type Description
Automatically collected page_view, first_visit, session_start
Enhanced measurement scroll, click, file_download, etc.
Recommended purchase, sign_up, search, etc.
Custom Business-specific actions

Naming Conventions

  • Length: <=40 characters (GA4 hard limit; longer names are not logged)
  • Format: snake_case, lowercase
  • Verb first: download_pdf, submit_form, video_play
  • Context: pricing_page_scroll vs generic scroll

gtag.js Syntax

gtag('event', '<event_name>', {
  <parameter_name>: <value>,
  // e.g. value: 99.99, currency: 'USD'
});

Place below the Google tag snippet. Events fire on page load or user action (e.g., button click).

Recommended Events

Event Use Key Parameters
purchase E-commerce value, currency, items
sign_up Registration method
login Login method
search Site search search_term
view_item Product view items
add_to_cart Add to cart items

Custom Events

  • Focus on 15-25 meaningful events aligned with KPIs
  • Add parameters for context (e.g., content_type, item_id)
  • Avoid tracking everything; prioritize quality over quantity

Conversions (Key Events)

  • Mark important events as conversions in GA4 Admin
  • Use for attribution, audiences, and reporting
  • Typical: purchase, sign_up, lead, contact

Attribution & Conversion Optimization

Attribution models determine how conversion credit is assigned across touchpoints. Use attribution data to optimize ads and growth channels.

Model Use
Data-driven (GA4 default) ML assigns credit by actual contribution; best for multi-touch journeys
Last-click 100% to final touchpoint; simple but undervalues awareness/consideration

Optimization flow: Clean UTM (source, medium, campaign) + conversion events → GA4 attribution reports → compare channels by attributed conversions → reallocate budget to ads/channels that drive results. Inconsistent UTM fragments data; multi-touch attribution requires reliable touchpoint data.

Reference: UTM.io – UTMs for Marketing Attribution, GA4 – Get started with attribution

Testing & Validation

Tool Use
Realtime See events as they fire
DebugView Detailed event/parameter inspection; requires debug mode
GA4 Debug mode gtag('config', 'G-XXX', { 'debug_mode': true }); or GTM preview
  • Test before launch; verify parameters and naming
  • Check for duplicate events, missing values

Output Format

  • Event list (name, trigger, parameters)
  • Implementation notes (gtag or GTM)
  • Conversion mapping
  • Testing checklist

Related Skills

  • traffic-analysis: UTM, source attribution; attribution for channel optimization
  • ai-traffic-tracking: AI traffic in GA4
  • google-search-console: GSC analysis (correlate with GA4)
  • seo-monitoring: Article database, benchmark, full SEO monitoring framework
how to use analytics-tracking

How to use analytics-tracking on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add analytics-tracking
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/kostja94/marketing-skills --skill analytics-tracking

The skills CLI fetches analytics-tracking from GitHub repository kostja94/marketing-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/analytics-tracking

Reload or restart Cursor to activate analytics-tracking. Access the skill through slash commands (e.g., /analytics-tracking) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.661 reviews
  • Layla Rao· Dec 28, 2024

    Keeps context tight: analytics-tracking is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Evelyn Nasser· Dec 28, 2024

    Registry listing for analytics-tracking matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Benjamin Yang· Dec 28, 2024

    analytics-tracking reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Chaitanya Patil· Dec 16, 2024

    Keeps context tight: analytics-tracking is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Arya Wang· Dec 12, 2024

    analytics-tracking is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Luis Srinivasan· Dec 8, 2024

    I recommend analytics-tracking for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Camila Lopez· Nov 27, 2024

    Solid pick for teams standardizing on skills: analytics-tracking is focused, and the summary matches what you get after install.

  • Kofi Nasser· Nov 19, 2024

    Registry listing for analytics-tracking matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Aanya Mehta· Nov 19, 2024

    Keeps context tight: analytics-tracking is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Emma Johnson· Nov 19, 2024

    analytics-tracking is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

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