{"id":5097,"date":"2016-02-03T13:49:14","date_gmt":"2016-02-03T21:49:14","guid":{"rendered":"https:\/\/www.constant-content.com\/blog\/?p=5097"},"modified":"2018-03-26T12:49:16","modified_gmt":"2018-03-26T19:49:16","slug":"smarter-metrics-measuring-engagement-beyond-the-click","status":"publish","type":"post","link":"https:\/\/www.constant-content.com\/content-writing-service\/2016\/02\/smarter-metrics-measuring-engagement-beyond-the-click\/","title":{"rendered":"Smarter Metrics: Measuring Engagement \u2018Beyond the Click\u2019"},"content":{"rendered":"

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By:\u00a0Colleen Ryan, Account Manager<\/a><\/p>\n

Let’s face it: we can no longer judge our content based on the number of page views alone. While page traffic plays a role in our understanding of which topics are getting attention, it tells us nothing about the impact of content or its quality.<\/p>\n

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This is where engaged time comes in. It tells you if people are actually engaging <\/em>with your content and not simply clicking on well written headlines only to leave the page after a few seconds. Basically, a low engaged time means that visitors don\u2019t find your content interesting or relevant and will be less likely to return for more which, in the end, doesn\u2019t provide you any value.<\/p>\n

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Engaged Time or Time on Page? <\/strong><\/span><\/h3>\n

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Unlike the time spent on a page, which measures how long users keep pages open, engaged time is more revealing. It measures how much time people are actively<\/em> paying attention to your content.<\/p>\n

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Measuring engaged time will help you determine whether your visitors are viewing the page in an active window, scrolling through the content, clicking on links or are simply leaving pages open in the background of a browser tab. Basically, it highlights the content your audience connects with best, which is essential in retaining your content strategy so that visitors keep coming back for more.<\/p>\n

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The Benefits of Measuring Engaged Time <\/strong><\/span><\/h3>\n

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One study<\/a> has shown that visitors who read an article for at least three minutes returned to the website twice as often as those who read for one minute. Further studies revealed that higher engaged time resulted in better brand recall. So, if you improve engaged time metrics, you’ll have a better chance at boosting your brand recall, recognition and loyalty.<\/p>\n

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How to Measure Engaged Time <\/strong><\/span><\/h3>\n

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There are many ways to measure engaged time with Google Analytics. Scroll Depth, for example, allows you to set events to trigger when a user scrolls past a certain point on the page. Though you may have to install a simple plugin, any business with web pages to analyze can access this data. Adobe Analytics has a similar plugin.<\/p>\n

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Some businesses insert thumbs up or thumbs down buttons at the end of content. When they’re clicked, it triggers an event in the Google Analytics dashboard. It’s basic, but it can help you understand how users view your content. There are numerous players in the space including web analytics company Chartbeat, which focuses on engagement time down to second-by-second site visitor activity.<\/p>\n

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Marrying engagement time with heat-mapping, using a tool like \u00a0CrazyEgg<\/a> (Google offers In-Page Analytics for example), provide additional insights into highly trafficked areas on your pages and dead zones.<\/p>\n

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What to do with the Data <\/strong><\/span><\/h3>\n

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To make the most of engaged time data, you need to remember that every piece of content is different. For news articles, 60 seconds might be a decent engagement time. For longer-form content, you might want to aim for a few minutes. With landing pages, 15 seconds might be good enough, especially if you succeed in making visitors take further action.<\/p>\n

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Also, never assume anything without diving into the data and reviewing in light of the visible content itself. In other words, you need to determine if dead zones are truly \u2018dead\u2019 or if there is simply nothing there for the user to interact with. And as with everything, test before making assumptions that are not data driven themselves.<\/p>\n

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If an article’s average engaged time seems low, ask yourself the following: <\/strong><\/span><\/h4>\n

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