​

Introduction to MentiQ Analytics SDK

​

Why MentiQ?

​

Key features

​

Core analytics

• Event tracking - Track custom events with rich properties
• Page view tracking - Automatic page view detection with route changes
• User identification - Associate events with authenticated users
• Event batching - Efficient queuing with configurable batch sizes and retry logic
• Session management - Comprehensive session tracking with engagement metrics

​

Advanced capabilities

• Heatmap tracking - Capture click, hover, and scroll interactions for visual analysis
• Session recording - Record and replay user sessions with privacy-safe masking
• Error tracking - Automatic JavaScript error and unhandled rejection capture
• Performance analytics - Core Web Vitals (LCP, FID, CLS) and custom measurements
• Onboarding funnels - Track user activation flows with completion and dropoff analysis
• A/B testing - Experiment management with automatic variant assignment

​

Developer experience

• React hooks - Intuitive hooks like useMentiqAnalytics(), useSessionTracking(), and more
• Pre-built components - TrackView, TrackClick, TrackForm, and other tracking components
• TypeScript support - Full type safety with comprehensive type definitions
• Next.js optimized - Works seamlessly with both App Router and Pages Router
• Offline support - Queue events when offline and sync when connection returns

​

Quick example

import { MentiqAnalyticsProvider, useMentiqAnalytics } from 'mentiq-sdk';

function App() {
  return (
    <MentiqAnalyticsProvider
      config={{
        apiKey: "your-api-key",
        projectId: "your-project-id",
        enableAutoPageTracking: true,
      }}
    >
      <Dashboard />
    </MentiqAnalyticsProvider>
  );
}

function Dashboard() {
  const { track, identify } = useMentiqAnalytics();

  const handlePurchase = () => {
    track('purchase_completed', {
      product_id: 'prod_123',
      amount: 99.99,
      currency: 'USD',
    });
  };

  return <button onClick={handlePurchase}>Buy Now</button>;
}

​

Use cases

• SaaS applications - Track feature usage, user activation, and churn risk
• E-commerce platforms - Monitor product views, cart interactions, and conversion funnels
• Content platforms - Measure engagement with scroll tracking and time-on-page metrics
• Web applications - Understand user behavior and optimize critical user journeys

​

What’s next?