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mt-event-tracker-test

v1.0.17

Published

A lightweight JavaScript library for tracking user journeys and attribution data across multiple touchpoints before signup or login.

Readme

Multi-Touch Attribution Library

A lightweight JavaScript library for tracking user journeys and attribution data across multiple touchpoints before signup or login.

Features

  • Accurately tracks user journeys across devices and sessions

  • Provides cleaner attribution for marketing & analytics

  • Enables better decision-making with BigQuery insights

  • Multitouch package via GTM – deployed to both sites

  • Page views & UTM data stored in localStorage (mt_event_history)

  • Latest attribution touchpoint saved in cookies (mt_current_attribution)

  • Attribution data sent to Supabase via Xano APIs

  • Data piped from Supabase to BigQuery using Fivetran

Installation

npm install @deriv-com/multitouch-attribution

Quick Start

import UserJourneyTracker from '@deriv-com/multitouch-attribution';

// Initialize the tracker
const tracker = new UserJourneyTracker({
    cookieDomain: '.yourdomain.com',
    autoTrack: true,
});

tracker.init();

// Record user signup
tracker.recordSignup('user123');

// Get tracked events
const events = tracker.getEvents();

Configuration

const options = {
    cookieDomain: '.example.com', // Domain for cross-subdomain tracking
    cookieExpireDays: 365, // Cookie expiration (default: 365 days)
    maxEvents: 100, // Maximum events to store (default: 100)
    autoTrack: true, // Auto-track page views (default: true)
    attributionExpiry: 365 * 24 * 60, // Attribution data expiry in minutes
};

API Methods

  • init() - Initialize tracking
  • trackPageView(url?, title?) - Manually track page view
  • recordLogin(userId) - Record user login
  • recordSignup(userId) - Record user signup
  • getEvents() - Get all tracked events
  • clearEvents() - Clear all events

What It Tracks

  • UTM parameters (utm_source, utm_medium, utm_campaign, etc.)
  • Click IDs (gclid, fbclid, mkclid)
  • Page views and referrers
  • User login/signup events
  • Attribution timestamps

License

MIT

Authors

Aswathy, Shayan