Google Analytics (GA) is one of the most popular traffic analytics tools for websites, but it can have serious drawbacks for anyone looking to measure content performance.
The problem is systemic: Analytics was built to track traffic for ecommerce and content sites, with the structure of its reports built around pageviews. It can provide some sophisticated data around those views – what kinds of audience members are behind them, how they might have arrived, what they did next, and other such questions – but today’s content marketers need the ability to measure and understand much more than that.
How do people interact with your content when they’re viewing an individual landing page? How do they feel about your brand after having been exposed to it on other media channels? Where are they running into conversion roadblocks? What are the content assets across touchpoints that people are consuming most on their paths to conversion? What assets are most compelling to your most qualified individual leads?
GA can hint at some of the answers to these types of questions, but to truly understand these aspects of your content marketing performance, you’ll need to turn elsewhere.
Here are a few of the biggest ways that Google Analytics can’t measure your content performance properly, along with some tips for overcoming these shortcomings.
Google Analytics only tracks page views and movement within your site. Unless you manually add layers of event tracking, it can’t reveal what people do within specific pages. You’ll never know if visitors get two lines into your content and then get distracted by an interesting link.
This is the value of heatmaps, which are remarkably effective at showing user behavior. They map out which areas of the page get the most view time and the most clicks, and where the mouse rests.
A heatmap shows areas that get the most attention in red, shading to blue for those that get the least. It reveals whether the visitor engaged and interacted with the page, or left it open and unread for hours. With a heatmap, you can discover the most popular parts of your pages, the navigation links people click on most, and whether key elements below the fold are going unseen.
To get started experimenting with heatmaps, you can try using Hotjar, Lucky Orange or CrazyEgg.
Google Analytics is limited to tracking page views on your own website. It can’t tell you anything about the impact of your content on earned or shared media channels, where you don’t have the ability to install its tracking pixel. And even if you could use it track content views on all channels, you still wouldn’t know much about the impact that the content has on brand sentiment, or your share of voice in the general market.
Instead, use a social listening tool to track what people think about your brand. Social listening tools track social media shares, comments, reactions and mentions. This information has many key use cases, one of which is gaining a holistic view of brand sentiment.
The better platforms track far more than the number of brand mentions on social media, using semantic text analysis to reveal the emotions behind the posts and comparing these signals to those of your competitors. Merge these trends with your timeline of content marketing achievements, and correlations will start to emerge.
To get started experimenting with social listening for brand sentiment tracking, you can try using Awario, Mention or Talkwalker.
If a visitor tries to complete an online form and gives up in frustration, Google Analytics will never let you know. The best it can do is to show you how much time all visitors spent on the page. (Even this information can be extremely misleading since GA measures page view durations starting from the moment given page loads to the moment the next internal page loads. If your visitor stays for 10 minutes, reads your article from top to bottom, shares it, and then closes the tab without browsing any further within your site, GA will register ‘zero’ time on page.)
When it comes to lead capture forms, contact forms, and sales checkout forms, it can be hard to tell how many fields you’re best off including. The fewer fields your forms have, the lesser friction people will have opting in, which makes for more conversions.
On the other hand, the more fields you include, the more data you’ll have to work with when people do complete and submit forms, which is useful for identifying personas when executing segmented nurture sequences. You’ll also learn more about your audience, and you’ll be in the best possible position for determining the relevance of your leads. And there’s something to be said for asking a lot of your audience, as it helps to filter out people who are “just curious” about your lead magnet and will never actually do business with you.
To really understand the extent to which form fields are serving as roadblocks on the path to conversion, turn to your form builder tool’s analytics. The better platforms will reveal partial submissions, and how far a user gets through a form before abandoning it, so you can see if any single field is too long or question too confusing.
To get started experimenting with form conversion optimization, I recommend Formstack, Formismo or Jotform.
One of GA’s biggest weaknesses is its inability to give context to visitor behavior. It can’t show you much about the identity of your visitors – at best, you can segment data about your entire pool of visitors according to their physical locations, devices, referrers, rough demographics and points of entry to your site.
What’s more, Google Analytics only uses a sample of your visitors, so that even if you tinker with your report settings to reveal the IP addresses of individual sessions, you can’t rely on this information as a comprehensive source of individual user insights.
Instead of GA, use audience intelligence tools that provide information about the interests, behavior, personal data (in a GDPR-compliant manner, of course.) and historic activity of every user, so that you can gain a deeper understanding of your visitors. This allows you to fine-tune your content to appeal to your audience, and it also reveals opportunities for account-based marketing.
To get started with audience intelligence, try Albacross, LinkedIn Website Demographics or Visitor Queue.
It is possible to use Google Analytics to track users through your funnel and measure its effectiveness. However, setting this all up can be highly complicated. You have to build a confusing series of filters and a dedicated URL structure that allows GA to correlate content pages with each stage of the funnel.
It’s much better to use a single tool that follows users through your funnel. Pick one that logs abandonment points and the cumulative impact of your various key funnel touchpoints. You’ll also need a good way to track the activity of returning visitors, which is another weak point for GA, thanks to uncertainty about cookies, lack of reliability when tracking visitors across devices, and the aforementioned notorious data sampling issue.
And if you integrate a funnel analytics tool with your CRM, logging each lead’s engagement activity on your website, you’ll be in great shape to set up a smart lead scoring system for identifying sales-readiness levels.
To get started with funnel analytics, check out Kissmetrics, Woopra or Yandex Metrica.
Google Analytics only measures interactions with the content on your own site. It’s not something you can use to measure the impact of content on shared, paid or earned media. So that guest post you recently published on someone else’s blog, or your LinkedIn Publisher articles, for example, will be blind spots for you.
GA can show you information about some of the visits you acquired via clickthroughs from these media presences, but that’s about it.
You’ll get better results from a multi-channel dashboard tool that pulls together user analytics from all channels, including email marketing, advertising tools, and social media. This type of solution can’t show you how people found your content on these properties, nor where they went next if they didn’t end up on your website, but it will help you consolidate all your metrics into one centralized dashboard for a more holistic analysis.
What’s more, if you combine data relating to engagement on all touchpoints into one timeline, you’ll start to see correlations between spikes on certain channels and website conversions, which can point you in the right direction for further drill-downs
To get started with multi-channel dashboards, try Klipfolio, Databox or Geckoboard.
Google Analytics is hugely popular, but it can’t do everything, especially if you’re concerned about content performance. Fortunately, there are other tools that fill the gaps GA leaves behind, giving you a much clearer understanding of your content marketing success.