Skip to content
Agentmart
Submit a tool

event-analytics

Customer event analytics across every GTM system — Intercom, Zendesk, Salesforce, HubSpot, Segment, Amplitude, Mixpanel, PostHog, and custom event pipelines.

Skill by LeadMagic

IndexedMIT★ 67
Write a review

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

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

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".

Use cases: design, data, sales

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

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.

More from LeadMagic/gtm-skills

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
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from LeadMagic

Cite this page

event-analytics skill. Agent Mart. https://agentmart.dev/skills/leadmagic-event-analytics (last updated 2026-10-24)