A thorough overview and answers to questions from Presentation:
- Building Blocks. 5
- Traffic Activity. 7
- On-Site Behaviour. 10
- Campaigns. 10
- Success Rates. 11
- Terms Specific to Google Analytics. 11
Working with Google Analytics. 13
- Sharing reports (example) 13
- Tracking form submissions (example) 13
- Creating page view reports (example) 14
- Creating page view reports on a specific page (example) 15
- Event tracking (Google Tag Manager example) 16
- Tracking search terms (internal organic searches directing users to content) 21
Questions from the session. 23
- What are the definitions of User, Engagement, Event, other terminology?. 23
- What is the Insights box?. 23
- Polypharmacy – Toolkits (2) – Would like to know how many users over 6month have gone to the questions My Review section? How would you pull such a report?. 23
- Can you set-up regular email reports (scheduled emailed reports)?. 23
- Can we set-up search terms ourselves?. 23
- Can we create event triggers ourselves?. 23
- People don’t have the same screen views as Jordan. How can we make sure we are running the same versions?. 23
- Trying to find least used pages turns into pages in different languages, useless data. How can we get useable data to show least used pages? 24
- A page won’t show if it has never been clicked on, is there a way to find out that information to be able to clear out those pages or at least let the clinician know their content isn’t being used/viewed?. 24
1 Glossary
1.1 Building Blocks
Metric
Think of metric as an answer to “How Many?” A metric is any quantifiable value to measure a characteristic or attribute for web activity. A metric will always be a number, so you can do all sorts of mathematical tricks to it from sum, average, to even count for a dimension (explained below).
Dimension
Now a dimension is the characteristic or attribute for web activity. A dimension will always be a text value for categories to group quantifiable values in. Dimension answers the question of “Which is it?” or “What is it?” If you’re still confused, read here for a more in-depth difference between Dimension and Metric.
Hit
Any single interaction done on a website. A hit can include a page view, a button clicks (event), and some ecommerce interactions including a product view. Let’s say a user lands on an online store website and starts viewing 5 photos from a product gallery. The page view is considered 1 hit, plus the 5 photo views equal 5 hits. Bringing us to a total of 6 hits.
Page View
Now, a page view is categorized as a Hit, but is solely counting an individual, full-page load. If the page only loads 50%, it typically isn’t counted as a page view unless your tagging masters accounted for the slow page load. Think of Page Views as pages of a book, but rather pages of a website. You wouldn’t count the pages you skipped as pages you read.
Session
We’re going up the metric ladder now. A session count is one single visit to a website without 30 minutes of inactivity. What does that mean? Well, once the user lands on your website, everything is counted as part of the session until either they leave the website, or they leave the tab open while doing nothing after 30 minutes. A session is most like an in-person store visit. Everything you do in the store during that one visit is considered part of one session. Once you leave, the session is closed.
User
Now, a user can be self-explanatory, but it gets a bit trickier when it comes to website tracking. A user is the closest metric to identifying a single person online. The limitation lies in the cookie. A person can be going through 3 devices from the phone, PC, to their iPad. Usually, Google Analytics will count this as 3 users as there’s no way to link that to one person unless additional configurations are setup.
Cookie
A cookie is the foundational tracker that gets us all the data in Google Analytics, and many other marketing analytics tools. Though, it does come with its limitations. And why is the cookie so special for web analytics? Well, you must hear “clear your cookies” all the time. Essentially, each website places a little tracker on your browser and remembers you each time you come back. But if you delete your cookies often, the website will think you’re two different people. The first time you visited, and after you deleted your cookie. Also, cookies are unique to the same browser, the same device. So, if you’re using Firefox one day, and Chrome the next, you’re considered as two people there.
Unique Page Views
Another term for Sessions, but this metric is specific to Page-related reports to maintain consistency. One report where “Unique Page Views” is used is for the Landing Page report. The main metric shown is Page Views, so Google Analytics keeps it related by offering the Unique Page Views metric. But it’s technically just like a session where you’re seeing how many sessions included the landing page view.
Conversion
A conversion will be unique to your website, but this is the indicator of your business goals. It can either be a purchase or a lead that can be made on your website. The easiest way to track a conversion is creating a dedicated confirmation page with something like “yourstore.com/thank-you.” Otherwise, you’ll need to do extra tagging work to get it rolling into Google Analytics. Check out this article to learn more about Google Analytics’ conversion reports.
Keyword
A keyword is the search query or phrase that users enter search engines like Google. For instance, think of a few things you type into Google’s search bar to find information. Those “few things” that you type in like “buy blue boots” or “local contractors in California” are considered “keywords.” For privacy, Google Analytics does prevent you from looking at the keyword breakdown since you can find out more of the user through his web activity. Usually, you will see “not provided” in the Keywords section. One way to go around it is to use Google Search Console, separate from actual web activity.
New Visitor
Considering the cookie limitations as mentioned above, a New Visitor is counted when it’s the first time the cookie was placed on the browser. Again, if you use multiple devices (or browsers) and only visit once for each, you could be counted as 3 New Visitors.
Returning Visitor
Now that the cookie is placed on your browser, you’ll be counted as a Returning Visitor the second, third, or umpteenth time you visit the same website on the same browser. IF you don’t delete your cookies.
Pages per Session
Pages per Session is quite useful for engagement purposes to gauge how the user interacts with your website. How many pages do they view in one sitting before they leave your site? Do you have enough content to keep users on your website? On the other hand, for ecommerce websites, you want the least Pages per Session as possible to get an immediate sale.
Segments
Segments are filters you can place on your Google Analytics data to easily see different versions of a report. They are temporary, meaning they don’t permanently affect the data that’s already there. It is just a tool to help customize your data analysis on a day-to-day for your specific needs. Read more about segments here.
Average Time on Page
The average amount of time people spends viewing your page. Average Time on Page is a success metric that indicates how engaging how your page is. Of course, you want a longer time on the page if it has tons of content.
Well, how is it calculated? The total amount of seconds users spends on the page divided by the number of sessions. But this metric does have its limitations and doesn’t count time when a user just leaves after one page view (a bounce) and even when it’s the last page of the session. Google Analytics stops the time at the last page change of a session. If the page doesn’t have a high exit rate, then the Average Time on Page is reliable. If it does, then it’s better to rely on this great tip to see how long people do view a Bounced page here.
Primary Dimension
The Primary Dimension is the first category of attributes or characteristics that you can pivot for a report. It will distribute your metrics according to the first one you choose.
Secondary Dimension
Consequently, secondary dimension is the second category where you can see a breakdown of activity all at once. For instance, you can set the Primary Dimension as “Default Channel Grouping” and the Secondary Dimension as “Source/Medium” to rank the exact websites bringing in traffic, but also which bucket it’s being grouped under.
1.2 Traffic Activity
Acquisition
Acquisition means the set of reports that give you detail on how you’re getting traffic to your site. It breaks down the default channel groups from Google Ads, Google Search to Social and allows you to drill into more detail if needed. Learn more about the Acquisition reports here.
Real Time
Web analytics typically is a view into the past where you can only see the data after an hour or so. Real time, however, means you can see the data live as it rolls in. It’s most useful for live campaign tracking and then you can later reference the other reports for a full campaign performance. Read more about how you can use Real Time reports here.
Channel Grouping
When data rolls into Google Analytics or any other web analytics tool, the referring web domain that sends a user to the website gets categorized under default buckets, aka Channel Grouping. The default channels that are used across marketing are Direct, Paid Search, Organic Search, Social, Affiliate, Email, and Referral. Referral is typically the catch-all bucket for “other” if Google doesn’t know how to categorize it in the pre-existing buckets. Check out why it’s important and how to set up your Channel Groupings to fit your business here.
Direct Referral
Direct means that the user either typed or bookmarked your website. Most of the time, users are typing it in, and your website is appearing in their search history to quickly revisit. One thing to note for Direct is that it can also include a person who already had a tab open, ended a previous session with 30 minutes of inactivity, but came back to it. Even though the previous session might have been referred by another random site, this subsequent session is referred as “Direct.”
Organic Search
This channel grouping contains all the traffic that comes from any search engine, specifically from unpaid search results. If you were to look on the first page of search results, you’d see “ad” as an indicator for paid search results. The results without the ad indicator are organic and unpaid. If you’re getting traffic through Organic Search, it’s a sign that your content is helping you rank, and Google sees your page as a valuable resource to the specified query.
Entry Page
Entry page is the first page that users land on when they “enter” your site. Another term for this is “Landing Page,” which is more commonly used in the industry.
Exit Page
Exit page is the last page before users leave your website. Exit pages can be an indicator that its content provides little value to your site, especially if the session was short. Though, some exit pages can be considered normal behaviour. Maybe from a series of articles, and they left on the last one. When the page is intended to push further clicks into the website, a high volume of exits is a sign for optimization.
Bounce Rate
A bounce rate is one of the most misunderstood metrics in web analytics. A bounce is counted only when a user lands on a page and leaves from that same page without visiting another. A bounce rate is calculated by the number of bounces divided by number of sessions that included the target dimension (page, channel, etc). Like exits, bounce rates must match the context of the page. A bad bounce rate would apply to a page that tries to push a sale on a second page. If someone found an article through Google Search and left, that’s not necessarily a bad thing. They just got what they needed.
Affiliate
Affiliate is a group used to identify the websites you partner with and often offer a commission for sending traffic or sales. But Google doesn’t normally know who you partner with. You’ll need to specify the utm_medium in a custom link that the website is an affiliate for Google to categorize your partners properly.
Referral
Referral in general means the websites that are bringing traffic to your website. In Google Analytics, referral is usually the miscellaneous bucket where Google just didn’t know where else to categorize a referring website/domain. Best practice is to check this bucket every so often to see if there’s a website you can re-categorize to a default channel or maybe even partner with as an added sales channel.
Landing Page
Just as it’s called, this is the first page users land on when they visit your website. You can test different landing pages and see which one drives users deeper into your website, and ultimately sales. You want your landing page to give a good first impression of your brand and hopefully lower bounce rates!
Display
Display is default channel grouping for visual advertisements that typically gets priced based on an impression (an ad load on a page or screen). Like “Other Advertising,” Google Analytics sometimes doesn’t automatically group these for you. You’ll need to set utm_medium = display, cpm, or banner in the ad link.
Attribution Model
Set of rules that give credit out of 100% to different channels and websites for influencing a sale or a lead.
Last Touch
When you view the Channel report in Google Analytics, the default attribution model for all web analytics tools is giving 100% credit to the last channel that referred the user to your website. For instance, let’s say a person clicked into your website last week from Organic Search aka search engine result. Then, the person returned this week directly because their computer remembered your website - and made a purchase. Well, Google Analytics will give 100% credit to the “Direct” channel for that one user. Last Touch is helpful in showing which channel helped seal the deal.
First Touch
The First Touch gives 100% to the first referring website. In the example from the Last Touch definition, the credit is given to Organic Search. First Touch shows which referrers are great in setting up the initial interest for your website. Sometimes, you might even get a channel that’s great for both Last Touch and First Touch, meaning the marketing strategy for one channel succeeds in introducing the brand and sealing the deal altogether. Win-win!
1.3 On-Site Behaviour
Events
User interactions on a webpage independent of the page or screen load. Events can range from button clicks, form submissions, video views, and more. Google Analytics gives you the ability to track any type of action to give you more insight as to how users are engaging with a page. You can categorize your events using 3 parameters: event category, event action, and event label. The hierarchy allows you to organize different types of interactions, so you can easily group them in your segments. More on the Events reports here.
1.4 Campaigns
UTM Parameters
When you’re placing your link on external websites, it’s helpful to set up additional UTM parameters, so you can see the data neatly organized in Google Analytics. Google Analytics requires at least 3 if you were to customize them: source, medium, and campaign. If you need additional context to identify the link, you can use their other parameters that will show in Google Analytics reports: term and content.
Tracking URL
The tracking URL is the part of the URL that lists out the UTM parameters after the main slug. It’s essentially telling Google where to categorize the link, so you can see it in the reports.
Source
Just as it’s called, source is the referring domain that brings traffic to your website. Keep this as clean as possible as Google will automatically group it into a default channel if it can recognize it i.e., google.com, facebook.com, etc.
Medium
Medium will be the keywords that tell Google which channel to categorize the source. Use these keywords here as a reference.
Campaign
Campaign will be the unique identifier of each marketing initiative. You can label these however you’d like, but it’s useful to group each strategy to specific launches, topics, types of content, etc.
Campaign Term
Term is also known as Keyword. You can use this extra UTM parameter to specify how you’re targeting based on an ad. For instance, keyword group for Google Ads or audience group for Facebook ads.
Campaign Content
Another nice-to-have dimension to identify the specific creative or copy used. This is especially helpful to see when you have multiple creatives up at once for an A/B test.
1.5 Success Rates
Clickthrough Rate
The number of clicks divided by the number of views. When you’re tracking events like button clicks, clickthrough rate is helpful to see how many people want to continue through the funnel you set up. Was the section that included the button convincing enough for a user to “click through?”
Conversion Rate
As conversions as based on your website goals, conversion rate is conversions divided by the amount of traffic. Whether it’s a sale or a lead, how many people are reaching that goal? You want the highest conversion rate as possible since every visitor is valuable.
Exit Rate
The number of exits on the page divided by the number of sessions. Exit rates are only calculated if a user visited more than one page. Exit rates need to relative to the page it’s applied on. If the page is at the end of a series, it makes sense to have a high exit rate. If it’s in the middle of a checkout, it’s rather a bad indicator and you need to reformat that page or flow.
1.6 Terms Specific to Google Analytics
Property
Now it’s time to dive into how Google Analytics sets up your reporting account. Property is the highest-level category of data, typically your website domain. When companies manage multiple websites, property is the easiest way to filter out what you need briefly.
View
Properties drill down into “Views,” which are filters of the data that rolls into your Google Analytics account. Whatever settings you place here are permanent to the data. Make sure you leave one view as is and create additional views as needed. Learn how to set up Google Analytics for your website here.
Filter
Filter is the settings where you identify what you want to keep in the target “View.” You can filter based on slugs, hostname, IPs, and even subdirectories. This is especially helpful when you want to see subdomains separately without any effect from the main domain.
Tracking ID
This is the code you use to push all website data. The Tracking ID is the identifier where Google Analytics knows where to send the data to be available at the account’s Property level.
Universal Analytics
The current analytics that Google Analytics uses to measure cross-platform, cross-device, and everything in between. Universal Analytics uses the analytics.js tracking code to properly install it on your platforms.
Sampling
With the free Google Analytics version, websites with over 500K sessions of traffic will always run into sampling problems. Google Analytics will get the best subset of your data from the selected time frame to allow you to make assumptions of activity.
2 Working with Google Analytics
2.1 Sharing reports (example)
- Within any of your own or default reports, you can open the “share” link at the top right of the page (if applicable) and from here you can specify the following:
- Recipients, separated by commas.
- Report subject.
- Attachments (format of report export).
- Frequency of which these reports are to be sent out.
- And how long you wish for these reports to be emailed for.
2.2 Tracking form submissions (example)
This is an example of how you can track form submissions with Google Tag Manager, this technique will cause a tag to fire every time a form on a web page is submitted. This example assumes the <form> HTML tag contains an ID attribute with a value of "contact_us":
<form action="/example" method="POST" id="contact_us">
We can use this ID to create a trigger that will listen for when this form is submitted:
- Add a basic Google Analytics pageview tag if one does not already exist. This tag must fire on all pages.
- Enable Tag Manager to capture form IDs:
- Click Variables.
- Click Configure in the Built-In Variables section.
- Select the Form ID built-in variable.
- Create a form submit trigger:
- Click Triggers and then New.
- Click Trigger Configuration and then Form Submission.
- Add these settings to the trigger configuration:
- Wait for Tags: Disable
- Check Validation: Disable
- Enable this trigger when all these conditions are true: Page URL and then contains and then /
- This trigger fires on: Some Forms and then Form ID and then contains and then contact_us
- Save the trigger as “Trigger - My Form Submits”.
- Create the tag to measure form submits:
-
- Click Tags and then New.
- Click Tag Configuration and then Universal Analytics.
- Set Track Type to Event.
- Fill in the Event Tracking Parameters:
- Category: Forms
- Action: Submit
- Label: Lead Gen - {{Form ID}}
- Note: the curly braces are used in text fields and custom code to replace a valid Tag Manager variable name with the relevant value retrieved from the event.
- Non-Interaction Hit: False
- Google Analytics Settings: Select an existing Google Analytics Settings variable or create a new one.
- Click Triggering and select the trigger that you created in step 3, titled “Trigger - My Form Submits”.
- Save the tag as "GA - Event Tag - Form Submits".
- Publish the container.
2.3 Creating page view reports (example)
- Upon logging in, please open the “Customization” section on the left-hand side sidebar.
- Once this is open, please click “Custom Reports”.
- Once this loads, please click “+ New Custom Report”.
- From here, please set up your report as follows:
- This will set up a report that tracks all page pageviews.
- Click save and it will open your new custom report.
- Click on “advanced”.
-
- Change the configuration to the following:
-
- Click apply.
- This will now track pages that have 0 views.
-
- From here you can now view the pages with 0 views and share the report either once, or regularly with your team to identify pages with no traffic.
- To share this report, please follow the steps in 3.1.
2.4 Creating page view reports on a specific page (example)
- Upon logging in, please open the “Customization” section on the left-hand side sidebar.
- Once this is open, please click “Custom Reports”.
- Once this loads, please click “+ New Custom Report”.
- From here, please set up your report as follows:
- This will set up a report that tracks all page pageviews.
- Click save and it will open your new custom report.
- Click on “advanced”.
-
- Change the configuration to the following:
- In the image above, this shows me looking for the products page.
- You simply provide the path to the page you want to track, ignoring the domain and the likes. Examples may be:
- /toolkit-name/
- /toolkit-name/guideline-name/page
- You simply provide the path to the page you want to track, ignoring the domain and the likes. Examples may be:
- Click apply.
- This will now track the views for that page.
- In the top right, update the date range from 6 months ago to todays date and click apply:
- From here you can now view the page views for this page specifically over the last 6 months and share the report either once, or regularly with your team to identify the level of traffic.
- To share this report, please follow the steps in 3.1.
2.5 Event tracking (Google Tag Manager example)
You can measure interactions on your site by setting up Google Tag Manager’s Auto-Event Tracking.
This might sound complicated but once you understand the basic principles of tags, triggers, and variables it becomes quite straight forward.
Event tracking using Google Tag Manager is initiated via clicks on event triggers that can be setup on specific variables on your webpage. Google Tag Manager Events are user actions with web page elements (“DOM elements”) that are triggered by your browser and sent into the Tag Manager data layer so that they can be used to set up triggers.
A summary of the steps required to setup an event within Google Tag Manager is listed below:
- Log into Google Tag Manager
- Select “Tags” from the left-hand side
- Create a new tag and select Universal Analytics as the Tag Type
- Set your Google Analytics Tracking ID
- Choose “Event” for the track type
- Set your Event Category, Action, Label and Values. You can use Google Tag Manager variable names such as {{click url}}
- Set your triggers as required
An example of how to set up an event within Google Tag Manager is outlined below:
Step 1 – check you have the right enabled variables selected for your event
Head over to the Variables section in Google Tag Manager and make sure that you have ticked the variables that you would like to track on your site.
You have the option to set up your triggers based on click classes, click elements, click text and other variables.
Step 2 – create a new tag in Google Tag Manager
Create a new tag in Google Tag Manager and change the Track Type to ‘Event’. The configuration options will now include tracking parameter fields for Category, Action, Label and Value as shown in the screenshot below.
As we discussed earlier in this post, the Category, Action, Label and Value attributes form the basis of the event variables within Google Analytics. There are Google Tag Manager specific code variables that you can use to automatically populate fields with values. For example, the {{Click}} code will automatically pull in the web URL into the field it is entered.
Step 3 – configure the tag
Enter values for Category, Action, Label and Value.
The label should really be named to give you as much information as possible on what was clicked. If you were planning to track clicks on the navigation buttons in your site header, you may want to record the click URL of the item that was clicked on.
The Value box for your event can be populated if you want to attribute a nominal value to types of enquiries on your site. You may want to give a contact form submission a higher value than an email newsletter signup for example.
The True/False field is used for a non-interaction event. If you want your event action not to create a new pageview and not to impact on the bounce-rate, then set this value to True.
Setting the tag for a tracked event is the same every time. The main difference in setting up different types of tags will be in configuring what the tag fires on.
Step 4 – select what the event tag will fire on
The next step is to select or create a trigger for the tag to fire on. You will need to set the fire on conditions for your tag. I have included a few examples of the different types of triggers for different events on your site.
Trigger for measuring clicks on an email address link
An example of a completed trigger for an email address clicked link is below.
- On the choose Trigger Type screen under the Click heading choose Just Links
- Select the Some Link Clicks under this trigger fires on
- Set the variable to Click URL within the first drop-down box
- Specify that the URL ‘Contains’ in the second drop-down option
- Enter mailto: within the third field
Trigger for measuring clicks on a phone number
- On the choose Trigger Type screen under the Click heading choose Just Links
- Select the Some Link Clicks under this trigger fires on
- Set the variable to Click URL within the first drop-down box
- Specify that the URL ‘Contains’ in the second drop-down option
- Enter tel: within the third field
Trigger for measuring PDF downloads
- On the choose Trigger Type screen under the Click heading choose Just Links
- Select the Some Link Clicks under this trigger fires on
- Set the variable to Click URL within the first drop-down box
- Specify that the URL ‘Contains’ in the second drop-down option
- Enter .pdf within the third field
Testing that your events work as planned.
It is a good idea to check that your events work as you intend. To view results immediately you can preview your Google Tag Manager events using the preview feature and carry out your event action to see whether the tag fires successfully.
Within Google Analytics you can also see events fired within the last 30 minutes by going to the Real-Time section and then Events section.
If you’re not in a rush or want to view historic data, go to the Behaviour > Events section of Google Analytics.
Setting Up Event-Based Goals
Goals can also be set up in Google Analytics based on your events. To do this login to your Google Analytics account and follow these instructions:
- Go to the property where you want to set up the goal
- Click on Admin and then go to Goals and click on Add New Goal
- Give your goal a name and select the event goal radio button option
- Fill in the fields with the attributes for your specific goal. Remember to select Equal to, begins with or Regular Expression options based on your event attributes.
- Category
- Action
- Label
- Value
- Save your Goal
- Remember to complete a test goal so that you have data and then come back the next day to check your event goal works
2.6 Tracking search terms (internal organic searches directing users to content)
The best way to monitor what your users are searching of
- Upon logging in, please open the “Customization” section on the left-hand side sidebar.
- Once this is open, please click “Custom Reports”.
- Once this loads, please click “+ New Custom Report”.
- From here, please set up your report as follows:
- This will set up a report that tracks all the sites pageviews.
- Click save and it will open your new custom report.
- Click on “advanced”.
-
- Change the configuration to the following:
- Click apply.
- This will now only track search result pages:
- This will show any search queries users may have carried out over the specified time.
- From here you can further filter the data:
- For example, only showing search pages with views over 100, 500 or 1000 for example.
- You can filter it by specific terms, such as updating the values in point 6 to “/search/?s=blood” or the likes.
- From here you can now view the search results queries and share the report either once, or regularly with your team to identify what users are searching for and how popular those terms and or queries are in contrast with other users.
- To share this report, please follow the steps in 3.1.
3 Questions from the session
3.1 What are the definitions of User, Engagement, Event, other terminology?
Please refer to point 2 for a glossary and description of some of the Google Terminology.
3.2 What is the Insights box?
Analytics Intelligence is a set of features that uses machine learning and conditions you configure to help you understand and act on your data. Analytics Intelligence provides two types of insights:
- Automated insights: Analytics Intelligence detects unusual changes or emerging trends in your data and notifies you automatically, on the Insights dashboard, within the Analytics platform.
- Custom insights: You create conditions that detect changes in your data that are important to you. When the conditions are triggered, you see the insights on the Insights dashboard, and you can optionally receive email alerts. You can create up to 50 custom insights per property.
3.3 Polypharmacy – Toolkits (2) – Would like to know how many users over 6month have gone to the questions My Review section? How would you pull such a report?
Please follow the steps in 2.4.
3.4 Can you set-up regular email reports (scheduled emailed reports)?
Please follow the steps in 2.1.
3.5 Can we set-up search terms ourselves?
Please follow the steps in 2.6
3.6 Can we create event triggers ourselves?
Please follow the steps in 2.5.
3.7 People don’t have the same screen views as Jordan. How can we make sure we are running the same versions?
If users who are worried about their versions can provide us a screen grab of what they see upon login, this will help us understand if it is simply a permissions issue or if something needs to be done.
3.8 Trying to find least used pages turns into pages in different languages, useless data. How can we get useable data to show least used pages?
Please follow the steps in 3.3.
3.9 A page won’t show if it has never been clicked on, is there a way to find out that information to be able to clear out those pages or at least let the clinician know their content isn’t being used/viewed?
Please follow the steps in 2.3.
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