event-analytics
Customer event analytics across every GTM system — Intercom, Zendesk, Salesforce, HubSpot, Segment, Amplitude, Mixpanel, PostHog, and custom event pipelines.
Skill by LeadMagic
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/leadmagic-event-analytics
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About
Use cases: design, data, sales
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What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/event-analytics
What's inside
- Skill name
event-analytics- Description
- Customer event analytics across every GTM system — Intercom, Zendesk, Salesforce, HubSpot, Segment, Amplitude, Mixpanel, PostHog, and custom event pipelines. Covers event taxonomy design, tracking implementation, event-driven workflows, and unified customer views. Use when implementing event tracking, building a customer data pipeline, or designing event-driven GTM automations. Triggers on: "event analytics", "customer events", "event tracking", "product analytics", "Segment setup", "event pipeline".
- License
- MIT
- Compatibility
- Claude Code, Codex, GitHub Copilot, Cursor, Gemini CLI, OpenCode, Goose, Hermes, Windsurf, Zed
- Metadata
- author: LeadMagic · version: 1.0.1 · category: analytics
- Instructions
- 291 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (4)
- SKILL.md
- framework-notes.md · references/
- check-output.py · scripts/
- output-template.md · templates/
SKILL.md (first lines)
# Event Analytics
## Overview
Events are the atomic unit of customer understanding. Every signup, click,
feature use, upgrade, and cancellation is an event. The mistake: tracking
events haphazardly ("track everything!") with no taxonomy, creating a data
swamp instead of a data pipeline. This skill covers event analytics across
every GTM system — how to design an event taxonomy, implement tracking, and
unify event data across your stack to build a complete customer picture.
## Authoritative Foundations
- **Segment** — Customer Data Platform (CDP) and event taxonomy
- **Amplitude** — Behavioral analytics and event design
- **Mixpanel** — Product analytics and event-based reporting
- **Intercom** — Event-driven messaging and automation
- **Avo** — Event taxonomy and governance
- **Snowplow** — Open-source event pipeline
## When to Use
Trigger phrases: "event analytics setup", "customer event tracking",
"implement Segment", "Amplitude setup for SaaS", "event taxonomy design",
"customer data pipeline", "product analytics events", "Intercom events",
"event-driven workflows"
## Step-by-Step Process
### Phase 1: Event Taxonomy Design
**The 4 event types (Segment spec):**
1. **Identify:** Who is the user? `identify(userId, traits)`
2. **Track:** What did they do? `track(eventName, properties)`
3. **Page:** What page did they view? `page(name, properties)`
4. **Group:** What account/workspace are they in? `group(groupId, traits)`
**Event naming convention (object-action framework):**
```
Format: [Object] [Action] (Past tense. Write events as things that HAPPENED.)
Good: "Project Created" "Invoice Paid" "Campaign Sent"
Bad: "createProject" "user_clicked_button" "page3-conversion-v2"
Rules:
- Title case: "Signed Up" not "signed_up"
- Past tense: "Viewed" not "View"
- Object first: "Report Exported" not "Exported Report"
- No technical jargon: "Payment Completed" not "stripe_webhook_200"
```
**Event taxonomy — core events every SaaS should track:**
```
ACCOUNT EVENTS:
- Signed Up (properties: plan, source, referrer, UTM params)
- Subscription Started (properties: plan, price, billing period)
- Subscription Upgraded (properties: from_plan, to_plan, reason)
- Subscription Downgraded (properties: from_plan, to_plan, reason)
- Subscription Canceled (properties: plan, reason, tenure_days)
- Trial Started / Trial Converted / Trial Expired
USAGE EVENTS:
- Feature Used (properties: feature_name, context, duration)
- Search Performed (properties: query, results_count)
- Integration Connected (properties: integration_name)
- Invite Sent / Invite Accepted (properties: role)
- File Uploaded / Exported (properties: type, size)
ENGAGEMENT EVENTS:
- Email Opened / Clicked (properties: email_type, campaign_id)
- Notification Viewed / Clicked
- Support Ticket Created / Resolved (properties: category, priority)
- NPS Submitted (properties: score, comments)
- QBR Attended (properties: attendees)
REVENUE EVENTS:
- Invoice Created / Paid / Overdue
- Credit Card Added / Updated / Failed
- Refund Processed
MILESTONE EVENTS:
- Activation Complete (properties: time_to_activate_hours)
- First Value Achieved (properties: milestone, time_to_value_days)
- 7-Day Active / 30-Day Active
- Power User Threshold Reached
```
### Phase 2: Implementation Strategy
**Source → CDP → Destinations architecture:**
```
Your App (client/server)
│
▼
Segment (or Rudderstack / mParticle / Snowplow)
│
├── Amplitude (product analytics)
├── Mixpanel (product analytics)
├── Intercom (event-triggered messaging)
├── Salesforce / HubSpot (CRM events)
├── Google Analytics (web analytics)
├── Data Warehouse (Snowflake / BigQuery / Redshift)
└── Webhook → custom integrations
```
**Implementation pattern (server-side preferred):**
```javascript
// Identify on login
analytics.identify(userId, {
email: user.email,
name: user.name,
plan: user.plan,
createdAt: user.createdAt,
company: { id: workspace.id, name: workspace.name }
});
// Group for B2B (account-level context)From LeadMagic/gtm-skills, MIT.
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Signals
- Stars
- 67
- Forks
- 18
- Open issues
- 0
- Last commit (this folder)
- Oct 1, 2026 (28 days ago)
- Last release
- Oct 1, 2026 (28 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- Version
- 1.0.1
- License
- MIT
- Repository
- github.com/LeadMagic/gtm-skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
event-analytics skill. Agent Mart. https://agentmart.dev/skills/leadmagic-event-analytics (last updated 2026-10-24)