However, if it works as it should, it offers interesting data about how your site responds to requests, especially when combined with organic search traffic, for example. In this guide, we’ll share exactly what a custom dimension is, how to create one, and 18 examples of custom dimensions you can use to understand your site’s performance. But as an indicator it’s very useful, since it tells you how your content is typically being digested. As you can see, you don’t have to use bog-standard Google Analytics data to understand on-site performance. You can use this to build segments (e.g. Event-scoped custom dimensions and metrics take their values from the event parameters you collect via the Analytics measurement code. Once you’ve added custom dimensions within your WordPress site, you’ll need to configure your Google Analytics in the same way. Our Google Analytics Traffic Growth dashboard shows how many sessions you’re getting per location. There are some inconsistencies here, and I haven’t been able to deduce a consistent description of redirectCount behavior. So it would be event for Events, pageview for Pageviews, timing for Timing hits, etc.   |  Feb 1, Analytics Instead, you add it to Fields to set -> customTask (see screenshot below). Data Layer variable: {{DLV - browsingBehavior.tabId}}, Contents: Data Layer Variable Name - browsingBehavior.tabId. Custom JavaScript variable: {{customTask - Hit type}}. Being able to segment and chop the data on a hit-by-hit basis (Hit Timestamp), group them into sessions (Session ID), sort by GA user (Client ID), and finally analyze cross-device paths (User ID), makes so much sense from an analytics point-of-view. For example, the following snippet will send the custom dimension dimension2 with value 55 to Google Analytics: // Maps 'dimension2' to 'age'. That being said, just 27% of marketers rely on custom dimensions in Google Analytics: There are endless ways you can use custom dimensions to add more context to your Google Analytics data. One of the things you’ll learn in the guide is that you can only have one customTask per tag. We won’t spam, ever. Log in at analytics.google.com and make sure the correct property is selected: Sending the Container ID serves multiple purposes: It helps you identify valid hits from spam (particularly spam sent from outside your site), it helps you debug data in a situation where you have more than one container running on the site, and it makes it easy to run parallel installations of Universal Analytics (or Global Site Tag) and Google Tag Manager. This is very unfortunate, and one of the main gripes I have with GA. The metric index: Each custom metric must be assigned with an index. “Client ID is definitely the most standard custom dimension that we use,” says Kevin Rutter of Seer Interactive. The new version of Google Analytics still allows you to create custom definitions (and custom metrics remain relatively unchanged), but the scope of your custom dimensions will now always be set to the hit level.. Your custom dimension is now added to Google Analytics. With this data, I can also figure out how to improve the sales funnel to maximize product sales,” Dhmitri says. We use it most to understand if we are attracting the type of companies we want to do business with and how they are engaging with our content on our website.”. “This would unlock insights into which campaign gave me leads that converted, the content they looked at,” Quick continues. Follow the link in the previous sentence to read a thorough guide on how and why to track browsing behavior in Google Analytics. Example 2-b: Custom Metrics, e.g. Something that can shine a light on a blind spot and improve your marketing.”, “For example: If I had a business model that was dependant on generating leads. You can add Session ID only to your Page View tag, but there’s no harm in including it in every single one of your GA tags. This is fairly easy to do, since it’s more or less just copy-pasting all the code into one long anonymous function, but I’ll show you how to do it nevertheless. It’s the only way to get row-by-row reports split by user, and it’s the only way to query for data collected from any anonymous user. I choose page path level 2 as the secondary dimension. Check whether this is true by using Jacob Worsøe‘s technique: “For content sites, my favorite custom dimension is the article length (number of words) in buckets of 500 words (0-500, 501-1000, etc. To create a custom dimension in Google Analytics: Log in to your Google Analytics account. CRM) data. Expand Custom Definitions, hit Custom Dimensions, and then the red New Custom Dimension button. Note – Sayf also provided us with a great post on how to see custom dimensions in your Analytics reports . You will use the shiny Custom Dimensions and Metrics to either: A: Give more context to a dimension in Google Analytics. ga:source==twitter. Here’s the definition: Custom dimensions and metrics let you sync external data (like CRM or SEO tool data) with your Google Analytics data. For Google Analytics Premium version, the limit is up to 200 custom dimensions. Analytics Keywords. The idea is that you can monitor if you are approaching the 8192 byte limit, since hits that equal or surpass that limit will not get sent to Google Analytics. …But which dimensions should you be creating? “Considering our core product is a content/editorial planning tool, this data has obvious benefits to the ideation and planning process for our clients.”, ESL Authority‘s Quincy Smith adds: “I love looking at content groupings related to performance and we use a custom dimension for this.”, “Seeing which categories of blog content or other post types perform the best is important for us as we have quite a few different user groups. It is often necessary to collect additional data (not collected by Google Analytics by default) of every session, interaction, transaction, etc. I'm trying to get custom dimensions to work in Google Analytics using the 'new' gtag library. Custom dimensions are one of some methods through which Google Analytics can be expanded more than just default configuration for offering actionable insights that can cater the requirements of your business. You run a dating website and have gender data stored in your CRM. This means that a custom dimension should always describe the event that is sending it.   |  Jan 25, Reporting In Google Analytics, you can change the Dimension of a report or add a secondary dimension. There is a limit of 50-registered custom dimensions and 50 registered custom metrics per property. "Developers can use custom dimensions to send unique IDs into Google Analytics, and then use the core reporting API to retrieve these IDs along with other Google Analytics data. It’s amazing that these dimensions are not readily available in Google Analytics’ data sets. The final cog in the machine is the ID of the current tab. JavaScript variable: {{document.referrer}}, Contents: Global Variable Name - document.referrer. Click save, publish your changes and you are done. Since they are included in this guide, they aren’t queriable by default in GA’s reporting interface. Because 100 people could have submitted their contact details on the website. Hit Type tells you explicitly what the type of hit collected in Google Analytics was. This means that a custom dimension should always describe the event that is sending it. This makes a lot of sense for pageview tracking, and it makes a lot of sense for hits that start sessions, since you can now analyze the referral information for sessions that came via some other source than a referral hit. If a visitor logs in you can retrieve this information and send i… via email, Facebook, Twitter, etc or it could be a patter of behavior e.g. Then, modify your tracking code. Survey Scores. How much business did they generate?”. Creating A Custom Dimension in Universal Analytics. For example, to send a custom dimension for a pageview type hit with the index 15, you would use: ga ('send', 'pageview', { 'dimension15': 'My Custom Dimension' }); To send a custom … They shared their go-to custom dimensions–and the ones you should be using, such as: Arguably the most-used custom dimension in Google Analytics is the source/medium. Since publishing that article three years ago, I have naturally uncovered more of these “need-to-have” Custom Dimensions, and I’ve written a bunch of guides on how to implement them. The next set of Custom Dimensions are just smart things to add to your data collection. To create a custom dimension in Universal Analytics, follow the steps below: Once logged in, click the ‘Admin’ tab, then click the account name, and then the property the custom dimension is for. Jill Quick of The Coloring in Department has some advice: “I would put time and effort into the ONE that will show you what is happing ‘off’ the website that links to your main key business objective. This, in turn, means that you have a way of aggregating all related hits directly in the data reports, rather than having to infer them using segments, for example. First, set up the custom dimension or metric in your property. However, you can temporarily disable them if you want. Pageview, bounce rate, and average time on a page are some predefined metrics. For example, your content management system can pass a content ID as a custom dimension using the Google Analytics … “Being able to centralize a single anonymized user’s actions across web and data imported behaviors (for closed-loop implementations) allows us to do very unique pathing on an individualized and aggregate level and ask informed questions like “what content and/or channel paths influence specific user decisions?”. For example, if you don’t need to collect the payload length, change the code appropriately: This list of Custom Dimensions is certainly not exhaustive, and I’m sure you have other suggestions to what could be considered “useful”. Nick Hollinger says the team at Visitor Queue “use custom dimensions to help us segment our current clients.”, “Within this, we also have Paid Current Clients and Trialing Current Clients. This shows the next page a user visited,” says Natalie Alleblas. “This data will then be able to be used to know which marketing platforms bring in the high spenders, which are bringing in the frequent buyers, and which are really helping your target markets spend money with you. The purpose of these four dimensions is to add more information to Google Analytics data sets about the user journeys that take place on your site. There’s a way to overcome that: Custom dimensions. B: Pop your own data into Google Analytics to get answers to your questions faster. That’s where custom dimensions come in. Ever wished you could segment your Google Analytics data by customers? This makes sense within the Google Analytics interface where a firehose of raw data would be more of a hindrance than a help, but the underlying raw clickstream data has many use cases — valuable enough that access to this data in BigQuery costs $150,000 annually via Google Premium (don’t worry, of course we’re going to get it for free here ). 2021 © Databox, Inc. All Rights Reserved. Step 2: Set Up Custom Dimensions in Google Analytics. Google Analytics reports the attribute of visitors to your website as a dimension: Each dimension is made up of names and values. Custom JavaScript variable: {{customTask - Client ID}}. For example, your content management system can pass a content ID as a custom dimension using the Google Analytics … Why not cut the fluff and view your most important metrics all in one place? Do you know which custom dimensions you should be using? Data Layer variable: {{DLV - browsingBehavior.navigationType}}, Contents: Data Layer Variable Name - browsingBehavior.navigationType. How Custom Dimensions have Changed in Google Analytics 4. This means that all hits of the same session can be queried with the same ID. Another option for reporting custom dimensions is to use Google Analytics’ built-in custom reports. You may collect survey data on your site, and send the respondents’ scores to custom metrics in Google Analytics. The team at DivvyHQ also use this custom dimension in Google Analytics because “it enables us and our clients to evaluate which categories are getting the most pageviews, lowest bounce rates and most time on page,” according to Brody Dorland. This counter isn’t 100% reliable, because it relies on a number of moving parts which might not always be in sync. Session ID is a random, unique string (GUID) which is scoped to the entire session. 12 Effective Ways for Increasing Your Average Order Value (AOV), 25 Examples of Google Analytics Segments That Enable Deeper Analysis, How to Calculate & Optimize Average Revenue Per User (ARPU), Google Analytics and HubSpot: How to Use Both to Track Your Website Analytics Effectively, Marketing Reporting: The KPIs, Reports, & Dashboard Templates You Need to Get Started, Small Business Video: 16 Tips for Creating Great Video On a Budget, How Databox Helped Gravity Digital to Become More Efficient & More Profitable. But do remember, once you’ve created a dimension, you cannot delete it. In order to get this to work you need to use a flat table. I would want to dig deep into understanding what my marketing and website activities are doing in to drive sales, and for people that are less likely to return the items or ask for a refund.”. Swink‘s Marcel Otte explains: “For example, [use custom dimensions to] determine whether someone has logged in before or has bought from the site before, whether a visit is internal (an employee), etc.”. Where ga:source is the name of the filter expressed as ga: and the specific dimension you want to filter by (in this case source), the operator is how you want the dimension to be compared (==means Equals), and finallytwitteris the expression that contains the value for the comparison.. It only takes a click to unsubscribe. The first three are tracking your visitor’s browser’s time: hour, day, month. Create the custom dimension in Google Analytics. “Client ID is definitely the most standard custom dimension that we use,” says Kevin Rutter … This is probably the easiest way to find your custom dimensions report in Google Analytics. gtag('config', 'GA_MEASUREMENT_ID', { … Get started with these dashboards if you’re using Moz, Ahrefs, or SEMrush (pictured): Callum Scott says the Marie Haynes Consulting “likes to look at entrances to the site on a URL level before and after a major traffic drop.”, “The reason we look at entrances instead of looking at pageviews or sessions is because entrances represent the number of users entering the site from, in this case, organic search – whereas if a user arrives at the homepage from organic and then looks at a different page, that will still register as a unique organic session and/or pageview. Be sure to read my guide on customTask to understand how this mechanism works. Obviously, if you know where your traffic is coming from, you can easily figure out what marketing tactics are showing the highest rate of success. Subscribe to the Simmer newsletter to get the latest news and content from Simo Ahava into your email inbox! Full Referrer is simply the value of document.referrer added as a hit-scoped Custom Dimension to every single Google Analytics tag in your container. To set and send a custom metric value: To use Tag Manager to send this value to Google Analytics as a custom dimension, use a data layer variable and then apply the custom dimension to the appropriate Google Analytics tags already deployed on your website. Custom dimension values can be sent with any Google Analytics hit type, including screen views, events, ecommerce transactions, user timings, and social interactions. It’s a custom dimension also used by Kevin Dhimitri: “We first set up a user ID custom dimension per each user who makes it to a product page or product catalog page.”, “Then, we have custom dimensions for counting the number of items users have added to their cart, the order in which they are added, and ultimately the number of items purchased.”, “Having this data allows me as an analyst to go in and see what items are connected to each other, based on which I might add internal links between those pages or include a “users frequently bought this item too” section.”. You may collect survey data on your site, and send the respondents’ scores to custom metrics in Google Analytics. Data Layer variable: {{DLV - browsingBehavior.redirectCount}}, Contents: Data Layer Variable Name - browsingBehavior.redirectCount. Create the custom dimensions you want to track and Save Changes to finish. Simply put, custom dimensions allow you to collect and analyze additional layers of data on top of the standard dimensions inside Google Analytics. Automatically collected events have some default parameters, and you can specify up to 25 custom parameters per event (Android or iOS).During the creation process, you identify the event parameter that will supply the value for the custom dimension or metric. “Specifically when it comes to content marketing, we like to see how many leads our blogs bring in organically. This means that a custom dimension should always describe the event that is sending it. “The more specific the behaviors are to a product, the more meaningful these segments will be. With this information, you could improve your paid campaign ad copy, test different offers, or improve your campaign landing pages to be more effective for the size of the company you want to attract.”, Helwech summarizes: “Clearbit data with your other Google Analytics dimensions can be combined in many ways. on January 6, 2020 (last modified on May 28, 2020) • 16 minute read. You can now access your custom dimension in custom reports or standard reports as a secondary dimension. Step 1: Create a custom dimension. An introduction to custom dimensions, some basics about Universal Analytics scope, and how that changed in Google Analytics 4; An example of how to configure custom dimension in Google Analytics 4 with Google Tag Manager; If you want to skip just to the practical part, feel free to do so. We then cross-reference that information with our website’s backend data and have a clearer picture of the value of our content marketing efforts.”. Some examples: Custom dimensions for blogs: User ID, category, author, tag, etc. Custom dimensions based on engaged users can help you to understand how this engagement impacts their overall experience. Google Analytics has made up to 20 custom dimensions available per property. This type of website engagement is the second-most popular use for Google Analytics custom dimensions: “One of my favorite custom dimensions for lead generation is setting up a user-scoped dimension to differentiate whether a user has filled out a form or not and become a lead,” writes Rocket Clicks‘ Joshua DeGrasse-Baumann. “I like to categorize users based on their behavior so I can easily create symbolic segments,” says Ruben Ugarte of Practio Analytics. “I use custom dimension user logged in/ user not logged in. The defined scope of the custom dimension will determine, at processing time, which hits are associated with the dimension value. “These insights help us inform smart, educated and data-backed decisions to help our clients improve their website experience and business overall,” Timon adds. Data Layer variable: {{DLV - browsingBehavior.newTab}}, Contents: Data Layer Variable Name - browsingBehavior.newTab. One thing to keep in mind is the restriction of just 20 available Custom Dimension slots in the free version of Google Analytics. I've added a new custom dimension to the property in the GA administration section: Next I've configured a mapping as per the by adding this snippet: Since it’s hit timestamp, it’s important that you add this Custom Dimensions to every single Google Analytics tag that fires on your site. It’s how GA calculates the Users metric in views which don’t have the User ID feature enabled (more on this in the next chapter). The solution is added using customTask. The Client ID is collected using customTask (guide here), so you do not add it to tags using the Custom Dimensions settings. As one example of a Custom Dimension about your user sessions, let’s say that you’re a publisher who monetizes pageviews or screen views through CPC or CPM advertising and you have integrated your DoubleClick for Publisher (DFP) data into Google Analytics 360. Through custom dimensions you can import the data which google analytics does not automatically collect (like CRM data, phone call data, logged in users data, etc) and correlate this non-google analytics data with Google Analytics data. Under Custom Dimensions define the Index Number that corresponds with your Audience Dimension and set the Dimension Value using the utm_audience variable. How Custom Dimensions have Changed in Google Analytics 4. Be sure to read my guide on customTask to understand how this mechanism works. In the example below, we’ve set our new "User Occupation" dimension as the secondary dimension in a New/Returning visitor report, allowing us to identify the professions of our newest users, and those of our frequent visitors.

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