Tracking 3D Product Interactions with Google Analytics

Why 3D Interaction Data Matters

If you cannot measure the business results of your 3D viewer integration, you cannot evaluate the return on investment. Analytics data answers: Are customers using the 3D viewer? Do users who interact buy more? Which products have high 3D engagement?

Events to Track

Define these custom events in GA4:

JavaScript Implementation

Example of sending GA4 events with model-viewer:

const viewer = document.querySelector('model-viewer');

viewer.addEventListener('load', () => {
  gtag('event', '3d_viewer_load', {
    product_id: viewer.dataset.productId,
    load_time_ms: performance.now()
  });
});

let firstInteraction = true;
viewer.addEventListener('camera-change', () => {
  if (firstInteraction) {
    gtag('event', '3d_viewer_interact', {
      product_id: viewer.dataset.productId
    });
    firstInteraction = false;
  }
});

Creating Segments in GA4

1. GA4 > Explore > Create segment
2. Users who performed the "3d_viewer_interact" event
3. Compare this segment with e-commerce metrics (conversion rate, cart value, revenue)

Reporting

• 3D viewer usage rate (relative to total product page visits)
• Add-to-cart rate after 3D interaction
• AR usage rate and device distribution
• Products with highest 3D engagement

Conclusion

A data-driven approach allows you to optimize your 3D visualization investment. By measuring which products benefit most, you can direct resources effectively.