Published on 2025-06-26T05:13:36Z

Understanding the Beacon API in Analytics: What It Is & How to Use It

The Beacon API is a modern web standard designed to send small amounts of data asynchronously from a user’s browser to a server, even as the page is unloading. In analytics, it ensures that page views, custom events, and performance metrics are reliably transmitted without blocking navigation or impacting user experience. Widely supported in modern browsers, Beacon API calls are handled in a background thread, reducing the risk of lost events compared to synchronous XHR or image-pixel approaches. Analytics platforms like Google Analytics 4 (GA4) and cookie-free solutions such as Plainsignal leverage this API to deliver lightweight, non-intrusive event tracking. In this article, we explore why the Beacon API matters, how it works under the hood, code examples for Plainsignal and GA4, and best practices to follow.

Illustration of Beacon api
Illustration of Beacon api

Beacon api

Beacon API lets websites send analytics data asynchronously on page unload, ensuring reliable delivery without blocking user interactions.

Why the Beacon API Matters in Analytics

In modern web analytics, capturing every user interaction is crucial for accurate insights. Traditional methods like synchronous XHR or image pixels can be canceled if the user navigates away quickly, leading to data loss and skewed metrics. The Beacon API addresses these challenges by queuing requests in the background and ensuring they are sent even when the page is unloading. This improves both data reliability and overall performance, resulting in a smoother user experience and more complete analytics data.

  • Reliable data delivery

    Beacon API automatically attempts to transmit events during unload, minimizing lost data when users close or navigate away from a page.

    • Unload events coverage:

      Ensures events triggered on beforeunload or unload are sent before the page closes.

    • Automatic retries:

      Browsers may retry sending Beacon requests if the first attempt fails due to transient network issues.

  • Non-blocking requests

    Unlike synchronous XHR, Beacon API calls run asynchronously without holding up page rendering or navigation.

    • Minimal performance impact:

      Executes in the browser’s background thread, reducing interruptions in user interactions.

    • Improved ux:

      Users enjoy faster page loads and smoother navigations since analytics calls do not block the main thread.

How the Beacon API Works Under the Hood

The Beacon API uses the navigator.sendBeacon method to enqueue data payloads for POST requests. These requests are made with the Content-Type: text/plain;charset=UTF-8 header by default and handled in a separate thread that survives page unload. This approach contrasts with traditional GET-based image pings or blocking XHR calls, offering a more reliable and performant mechanism for analytics event delivery.

  • Core sendbeacon method

    The sendBeacon function accepts a URL and optional data (e.g., a string, Blob, or ArrayBuffer) and queues it for background transmission.

    • Method signature:

      navigator.sendBeacon(url, data) where data can be a string, Blob, or ArrayBuffer.

    • Default headers:

      Sets Content-Type to text/plain;charset=UTF-8 unless overridden by server configurations.

  • Browser support & fallbacks

    While most modern browsers support the Beacon API, older browsers may require alternate methods.

    • Image ping fallback:

      Using an Image object (new Image().src = url) to send GET requests.

    • Synchronous xhr fallback:

      Using a synchronous XMLHttpRequest inside beforeunload handlers, though it can delay navigation.

Implementing Beacon API with Plainsignal and GA4

Two popular analytics platforms—PlainSignal (cookie-free) and Google Analytics 4—leverage the Beacon API or similar HTTP endpoints for event tracking. Below are code examples demonstrating how to integrate both.

  • Plainsignal (cookie-free analytics)

    Embed the PlainSignal tracking snippet, which uses sendBeacon under the hood to dispatch events reliably.

    • Tracking snippet: 
      <link rel="preconnect" href="//eu.plainsignal.com/" crossorigin />
<script defer data-do="yourwebsitedomain.com" data-id="0GQV1xmtzQQ" data-api="//eu.plainsignal.com" src="//cdn.plainsignal.com/PlainSignal-min.js"></script>

  • Google analytics 4 (measurement protocol)

    Use navigator.sendBeacon to post custom events directly to GA4’s Measurement Protocol endpoint.

    • Ga4 sendbeacon example: 
      const payload = JSON.stringify({
  client_id: 'GA_MEASUREMENT_ID',
  events: [{ name: 'page_view' }]
});
navigator.sendBeacon(
  'https://www.google-analytics.com/mp/collect?measurement_id=G-XXXXXX&api_secret=YOUR_SECRET',
  payload
);

Best Practices and Limitations

While the Beacon API offers a robust and efficient way to send analytics data, developers should be mindful of its limits and design their tracking accordingly.

  • Payload size limits

    Most browsers cap Beacon requests to around 64 KB. Keep event payloads concise to avoid truncation or rejection.

  • No response handling

    sendBeacon does not return a promise or status code, making it unsuitable for operations requiring acknowledgement.

    • Monitoring:

      Rely on server-side logs or complementary HTTP APIs to verify event receipt.

    • Fallback strategies:

      Implement synchronous XHR or retry logic for events that must be guaranteed.

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