{"id":133697,"date":"2025-03-14T20:33:51","date_gmt":"2025-03-14T20:33:51","guid":{"rendered":"https:\/\/peraltafinancing.com\/analytics\/track-content-engagement-part-2\/"},"modified":"2025-03-14T20:33:51","modified_gmt":"2025-03-14T20:33:51","slug":"track-content-engagement-part-2","status":"publish","type":"post","link":"https:\/\/fivemor.com\/?p=133697","title":{"rendered":"Track Content Engagement Part 2"},"content":{"rendered":"<p> <br \/>\n<\/p>\n<div>\n<p>A couple of days ago, I wrote an article on <a href=\"https:\/\/www.simoahava.com\/analytics\/track-content-engagement-via-gtm\/\">tracking content engagement<\/a>. Even though the solution itself works, and it\u2019s a really neat trick if I can say so myself, it has its problems.<\/p>\n<p>After all the glory I showered on <a href=\"https:\/\/developers.google.com\/analytics\/devguides\/collection\/analyticsjs\/user-timings\">User Timings<\/a> in Google Analytics, they have one serious flaw: they cap at <strong>10,000<\/strong> samples per day. What a ridiculous, arbitrary limit.<\/p>\n<p>In any case, this means that if you have enough traffic to accumulate 10K user timing hits per day, it means that the solution I provided in the previous article will not work for you, as the Pageviews will <em>not<\/em> be capped, meaning the calculation of <strong>Total Engaged Time<\/strong> \/ <strong>Pageviews<\/strong> will be skewed.<\/p>\n<p>After awesome discussions with people like Al Wightman, Zorin Radovancevic, and Yehoshua Coren, this article is meant to replace the User Timings setup from the previous guide with a new solution, which utilizes <strong>Events<\/strong> and <strong>Custom Metrics<\/strong>. Since most of the article is still valid, please read <a href=\"https:\/\/www.simoahava.com\/analytics\/track-content-engagement-via-gtm\/\">the previous article<\/a> all the way until you reach <strong>4. User Timings<\/strong>. This is where this post will pick things up, and I\u2019ll make sure to guide you all the way to the finish line, so you don\u2019t have to refer back to the original article, unless you want to make sure you got all the initial steps right.<\/p>\n<p>                <span class=\"simmer\"><br \/>\n  <span class=\"close\">X<\/span><\/p>\n<p>\n    <span class=\"fa fa-md fa-bell\"\/><br \/>\n    <strong>The Simmer Newsletter<\/strong>\n  <\/p>\n<p>\n    Subscribe to the <a href=\"https:\/\/www.simoahava.com\/newsletter\/\">Simmer newsletter<\/a> to get the latest news and content from Simo Ahava into your email inbox!\n  <\/p>\n<p>  <\/span><\/p>\n<h2 id=\"before-we-get-started\">Before we get started<\/h2>\n<p>Instead of <strong>User Timings<\/strong>, which measures milliseconds, this new solution will use a <strong>Custom Metric<\/strong>, which measures engagement time in seconds. This will be piggybacked on a <em>non-interactive<\/em> event hit.<\/p>\n<p>In Google Analytics, we\u2019ll create a <strong>Calculated Metric<\/strong> with the following formula:<\/p>\n<p><strong>Total Engaged Time<\/strong> \/ <strong>Pageviews<\/strong><\/p>\n<p>Since each event is (or should) always be associated with a pageview, we can aggregate these nicely in a Custom Report we\u2019ll build at the end of this tutorial.<\/p>\n<p>In other words, this solution will use up a <strong>Custom Metric<\/strong> slot, and it will increase the event hit count for your site. If you\u2019re already breaching the 500 hits per session limit, this might well take you over the top. But, let\u2019s be honest, if you\u2019re near the 500 hits per session limit, you\u2019ve already fudged up something in your measurement plan, so don\u2019t blame me for those mistakes!<\/p>\n<h2 id=\"4-custom-javascript-variable\">4. Custom JavaScript Variable<\/h2>\n<p>Let\u2019s pick up the steps of the previous guide with a new Custom JavaScript Variable. Name it <strong>JS &#8211; Get Engagement Time In Seconds<\/strong> (or something to that effect), and add the following code within:<\/p>\n<div class=\"highlight\">\n<pre style=\"background-color:#fff;-moz-tab-size:4;-o-tab-size:4;tab-size:4\"><code class=\"language-javascript\" data-lang=\"javascript\"><span style=\"color:#00a\">function<\/span>() {\n  <span style=\"color:#00a\">return<\/span> {{DLV - nonIdleTimeElapsed}} \/ <span style=\"color:#099\">1000<\/span>;\n}\n<\/code><\/pre>\n<\/div>\n<p>This simply returns the <code>nonIdleTimeElapsed<\/code> key from the data layer divided by 1000, to get the number of seconds of engaged time collected by the script from the previous article.<\/p>\n<h2 id=\"5-the-custom-metric-ga\">5. The Custom Metric (GA)<\/h2>\n<p>Next, go to <strong>Google Analytics Admin<\/strong>. Open <strong>Custom Definitions<\/strong> under <strong>Property Settings<\/strong>, and click <strong>Custom Metrics<\/strong>.<\/p>\n<p>Next, create a new Custom Metric, by clicking the big red button.<\/p>\n<div style=\"aspect-ratio: 700 \/ 268;\" class=\"figure nocaption\">\n<p>    <a href=\"https:\/\/www.simoahava.com\/images\/2016\/03\/new-custom-metric.jpg\" title=\"New custom metric\"><\/p>\n<p>    <img decoding=\"async\" class=\"fig-img\" height=\"268\" width=\"700\" loading=\"lazy\" src=\"https:\/\/www.simoahava.com\/images\/2016\/03\/new-custom-metric.jpg#ZgotmplZ\" alt=\"New custom metric\"\/><\/p>\n<p>    <\/a><\/p>\n<\/div>\n<p>Give the new Custom Metric a nice, descriptive name: <strong>Total Engaged Time<\/strong>. Make sure you\u2019ve got <strong>Time<\/strong> selected as the Formatting Type, and you can keep all the other settings as they are.<\/p>\n<div style=\"aspect-ratio: 630 \/ 1118;\" class=\"figure nocaption\">\n<p>    <a href=\"https:\/\/www.simoahava.com\/images\/2016\/03\/custom-metric-settings.jpg\" title=\"custom metric settings\"><\/p>\n<p>    <img decoding=\"async\" class=\"fig-img\" height=\"1118\" width=\"630\" loading=\"lazy\" src=\"https:\/\/www.simoahava.com\/images\/2016\/03\/custom-metric-settings.jpg#ZgotmplZ\" alt=\"custom metric settings\"\/><\/p>\n<p>    <\/a><\/p>\n<\/div>\n<p>Finally, click <strong>Save<\/strong>.<\/p>\n<p>Make note of the <strong>Index<\/strong> number assigned to the new metric. This is important!<\/p>\n<div style=\"aspect-ratio: 1502 \/ 608;\" class=\"figure nocaption\">\n<p>    <a href=\"https:\/\/www.simoahava.com\/images\/2016\/03\/index-number.jpg\" title=\"custom metric index\"><\/p>\n<p>    <img decoding=\"async\" class=\"fig-img\" height=\"608\" width=\"1502\" loading=\"lazy\" src=\"https:\/\/www.simoahava.com\/images\/2016\/03\/index-number.jpg#ZgotmplZ\" alt=\"custom metric index\"\/><\/p>\n<p>    <\/a><\/p>\n<\/div>\n<p>That\u2019s it for the metric!<\/p>\n<h2 id=\"6-the-event-tag\">6. The Event Tag<\/h2>\n<p>The Event Tag can have whatever values you want in the fields. For debugging reasons, I always include the value I\u2019m piggy-backing on the hit (the Custom Metric in this case) as one of the fields.<\/p>\n<div style=\"aspect-ratio: 1242 \/ 1544;\" class=\"figure nocaption\">\n<p>    <a href=\"https:\/\/www.simoahava.com\/images\/2016\/03\/event-tag.jpg\" title=\"The Event Tag\"><\/p>\n<p>    <img decoding=\"async\" class=\"fig-img\" height=\"1544\" width=\"1242\" loading=\"lazy\" src=\"https:\/\/www.simoahava.com\/images\/2016\/03\/event-tag.jpg#ZgotmplZ\" alt=\"The Event Tag\"\/><\/p>\n<p>    <\/a><\/p>\n<\/div>\n<p>To make this work, you <strong>will need<\/strong> the following:<\/p>\n<ul>\n<li>\n<p>Values in Event Category and Event Action, since these are required fields<\/p>\n<\/li>\n<li>\n<p>A new field with name <strong>transport<\/strong> and value <strong>beacon<\/strong> to <a href=\"https:\/\/www.simoahava.com\/analytics\/leverage-usebeacon-beforeunload-google-analytics\/\">improve the accuracy<\/a> of timing hits sent when the user is leaving the page<\/p>\n<\/li>\n<li>\n<p>A <strong>Custom Metric<\/strong> with the index number from the previous step, and the Custom JavaScript Variable you created earlier as the value<\/p>\n<\/li>\n<li>\n<p>Add the Custom Event Trigger you created in <a href=\"https:\/\/www.simoahava.com\/analytics\/track-content-engagement-via-gtm\/\">step 2 of the first guide<\/a> to the Tag<\/p>\n<\/li>\n<\/ul>\n<p>The Custom Metric is naturally the most important part of this machine, but I strongly recommend adding the <strong>transport<\/strong> field as well.<\/p>\n<h2 id=\"7-the-calculated-metric-ga\">7. The Calculated Metric (GA)<\/h2>\n<p>Almost done!<\/p>\n<p>Now, go to <strong>Google Analytics Admin<\/strong>, and under <em>View Settings<\/em>, click Calculated Metrics. Click the big red button with <strong>+ New Calculated Metric<\/strong>, and make new metric look like this:<\/p>\n<div style=\"aspect-ratio: 812 \/ 818;\" class=\"figure nocaption\">\n<p>    <a href=\"https:\/\/www.simoahava.com\/images\/2016\/03\/new-calculated-metric.jpg\" title=\"New calculated metric\"><\/p>\n<p>    <img decoding=\"async\" class=\"fig-img\" height=\"818\" width=\"812\" loading=\"lazy\" src=\"https:\/\/www.simoahava.com\/images\/2016\/03\/new-calculated-metric.jpg#ZgotmplZ\" alt=\"New calculated metric\"\/><\/p>\n<p>    <\/a><\/p>\n<\/div>\n<p>The important part to get right is the <strong>Formula<\/strong>. Instead of having to type in the brackets, you can just start typing \u201cTotal Engaged Time\u201d, and the autocomplete should suggest the correct metric to you. Then, add the <strong>\/<\/strong> to denote division, and finally start typing \u201cPageviews\u201d, and again the tool should suggest the correct metric to you.<\/p>\n<p>Great! Now we have our Calculated Metric, so we can build a nice, simple Custom Report to give us the low-down of our content engagement time.<\/p>\n<h2 id=\"8-the-custom-report-ga\">8. The Custom Report (GA)<\/h2>\n<p>This is what my Custom Report setup looks like:<\/p>\n<div style=\"aspect-ratio: 2328 \/ 1068;\" class=\"figure nocaption\">\n<p>    <a href=\"https:\/\/www.simoahava.com\/images\/2016\/03\/custom-report-content-engagement.jpg\" title=\"Custom Report for Content Engagement\"><\/p>\n<p>    <img decoding=\"async\" class=\"fig-img\" height=\"1068\" width=\"2328\" loading=\"lazy\" src=\"https:\/\/www.simoahava.com\/images\/2016\/03\/custom-report-content-engagement.jpg#ZgotmplZ\" alt=\"Custom Report for Content Engagement\"\/><\/p>\n<p>    <\/a><\/p>\n<\/div>\n<p>It\u2019s very simple, but it yields a lot of interesting data. You can even juxtapose it with the default <strong>Average Time On Page<\/strong> to see the incredible discrepancy between just loading a page and actually interacting with it.<\/p>\n<div style=\"aspect-ratio: 2356 \/ 1020;\" class=\"figure nocaption\">\n<p>    <a href=\"https:\/\/www.simoahava.com\/images\/2016\/03\/custom-report-shown-1.jpg\" title=\"Custom Report displayed\"><\/p>\n<p>    <img decoding=\"async\" class=\"fig-img\" height=\"1020\" width=\"2356\" loading=\"lazy\" src=\"https:\/\/www.simoahava.com\/images\/2016\/03\/custom-report-shown-1.jpg#ZgotmplZ\" alt=\"Custom Report displayed\"\/><\/p>\n<p>    <\/a><\/p>\n<\/div>\n<p>That\u2019s a <em>pretty big difference<\/em>, wouldn\u2019t you say?<\/p>\n<h2 id=\"summary\">Summary<\/h2>\n<p>Again, huge thanks to Zorin, Al, Yehoshua, and everyone else who pitched in. User Timings was a let-down, as it\u2019s obviously not meant to be used as a data collection metric. However, I wish the sampling would be made more realistic. I perfectly understand why Page Timings are sampled, since you only <em>need<\/em> a sample to extrapolate a huge amount of useful information. But why not treat User Timings as regular hits, subject to the normal data collection limitations of the platform?<\/p>\n<p>One of the caveats of using Custom Metrics and Events is the unpredictability of the session. For example, come midnight, the session will end, but the events will still continue collecting data in the next session, which might be without a landing page altogether! This is a problem on any site with a global audience (such as mine). However, the more data you collect, the more marginal stuff like this will be normalized out of the equation.<\/p>\n<p>In any case, Custom Metrics lets you work around the problem of User Timings, since they can also be formatted for time. The combination of Calculated Metrics and Custom Metrics is a game-changer for Google Analytics, and has been instrumental in creating a huge amount of added value to all kinds of analytics setups.<\/p>\n<p>I hope this article has been helpful, and I\u2019m sorry for making you pogo between two texts while trying to come up with the best way to measure content engagement on your website.<\/p>\n<p>Let me know if you have any comments or improvement suggestions!<\/p>\n<\/p><\/div>\n\n","protected":false},"excerpt":{"rendered":"<p>A couple of days ago, I wrote an article on tracking content engagement. Even though the solution itself works, and it\u2019s a really neat trick if I can say so myself, it has its problems. After all the glory I showered on User Timings in Google Analytics, they have one serious flaw: they cap at [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":133698,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[12033],"tags":[7222,1748,3341,1018],"dealstore":[],"offerexpiration":[],"class_list":["post-133697","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-analytics","tag-content","tag-engagement","tag-part","tag-track"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.4 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Track Content Engagement Part 2 - Som2ny Network<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/fivemor.com\/?p=133697\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Track Content Engagement Part 2 - Som2ny Network\" \/>\n<meta property=\"og:description\" content=\"A couple of days ago, I wrote an article on tracking content engagement. 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