How to Implement Time to Interactive (TTI) using Google Analytics

Thomas Watson

Technical SEO Consultant

Analytics and Data Science

As we launch head-first into the world of mobile-first indexing,  the speed in which a website loads is more important now than it has ever been. Mobile web usage overtook desktop back in late 2016 and the gap has continued to increase.

Whilst desktop speeds and average mobile speeds continue to get faster, there are always huge gaps in coverage as well as slow-downs due to network over-capacity issues in high density areas (city centers, arenas etc). Therefore, the bigger and more complex our websites become the more attention to Page Speed and performance we need to pay.

“[Page] Load is not a single moment in time — it’s an experience that no one metric can fully capture. There are multiple moments during the load experience that can affect whether a user perceives it as ‘fast’ or ‘slow’.”

 Shubhie Panicker, Google Engineer 

The following slide from Think with Google shows how the probability of bounce increases as the load time of your site increases:

Time to Interactive (TTI)

The Time to Interactive (TTI) metric measures how long it takes a page to become interactive. “Interactive” is defined as the point where:

  • The page has displayed useful content, which is measured with First Contentful Paint
  • Event handlers are registered for most visible page elements
  • The page responds to user interactions within 50 milliseconds


Some sites optimize content visibility at the expense of interactivity however, this can create a frustrating user experience if a site appears to be ready, but when the user tries to interact with it, nothing happens. How many times has this happened to you?

The problem with TTI

What makes TTI a problematic metric is that no single tool or service can accurately paint a picture of your site’s true time to interaction. There are many variables that can affect TTI, including:

  • Device type (mobile, tablet and desktop)
  • Browser (type and version)
  • Operating system (Windows, Mac, iOS and Android etc)
  • Time of day and business of server
  • Geolocation

Your website might be built to ‘best practice’ but if your website user-base has a trend in location, browser etc, best practice can miss the mark resulting in poor performance and therefore poor conversions.

Therefore, to accurately paint a picture of interaction timings, we need to obtain mass-amounts of real-world user data; but how do we do that?

Recording TTI using Google Analytics

70% of websites use Google Analytics to measure traffic; therefore it makes the most sense to work the TTI metric into this data.

By implementing the Google Chrome Labs TTI plugin, we can start to push user TTI data through into Google Analytics using the User Timing functionality. Screenshots of how this looks within Google Analytics can be found further down in this post.

A few things to bear in mind before proceeding with this implementation:

  • Whilst every effort has been made to test the code, we cannot be certain that it will work with every website setup
  • Any implementation of this code should be tested on a development environment before production
  • The TTI Polyfill will work in any browser that supports PerformanceObserver and the PerformanceLongTaskTiming entry
  • Any browsers that do not support this will output a TTI of zero which will be excluded from the data sent to Google Analytics
  • The repository for TTI Polyfill can be found here

Step 1

  • Add the following just after the opening of the <head> tag
  • This must be put before any other items are loaded as otherwise these items may be excluded from the TTI calculation


    ! function() {
        if ('PerformanceLongTaskTiming' in window) {
            var g = window.__tti = {
                e: []
            g.o = new PerformanceObserver(function(l) {
                g.e = g.e.concat(l.getEntries())
                entryTypes: ['longtask']

Step 2

  • Add the following code to just before the closing of the </head> tag after everything else
  • The tti-polyfill.js file can be found here directly from the Google Git repository
  • We recommend tti-polyfill.js is loaded from the server rather than externally
  • Replace [location-URL] in the first line with the file location of the tti-polyfill.js

Use the version of code that matches your Google Analytics integration


Below is the TTI implementation if you are using the newer gtag.js:


<script type="text/javascript" src="[location-URL]/tti-polyfill.js"></script>
<script> ttiPolyfill.getFirstConsistentlyInteractive().then(console.log);
    ttiPolyfill.getFirstConsistentlyInteractive().then((tti) => {
        if (tti > 1) {
            gtag('event', 'timing_complete', {
                'name': 'TTI',
                'value': tti,
                'event_category': 'Page Speed'


Below is the TTI implementation code if you are using the older analytics.js:


<script type="text/javascript" src="[location-URL]/tti-polyfill.js"></script>
<script> ttiPolyfill.getFirstConsistentlyInteractive().then(console.log);
    ttiPolyfill.getFirstConsistentlyInteractive().then((tti) => {
        if (tti > 1) {
ga('send', {
timingCategory: 'Performance Metrics',
timingVar: 'TTI',
timingValue: tti

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Examples of TTI within Google Analytics User Timing

User Timing Dashboard showing average timing as well as sample size


A breakdown of TTI, with sample size, for various browser types

A breakdown of TTI based on Device Type (mobile, tablet and desktop)

If you need help with your Google Analytics implementation, we will be happy to help. Get in touch with us today.