Overview

This is a summary of all tooltips in tyGraph Pages. All tooltip items are brief descriptions of the visual and calculation, limited to 250 characters.

TABLE OF CONTENTS

• Overview
• Universal Items – Toolbar
• Content Overview
• Content Navigator
• Content Health
• News Explorer
• Engagement Overview
• Site Audience
• Audience Behavior
• Page Performance
• Audience Location
• Technical Performance
• Search Activity
• Metadata Engagement
• Campaign Analysis

Universal Items – Toolbar

1. This will redirect you to our website. For those looking to signup and authorize our tool with your own data, you can find our signup process here.
2. The report title.
3. Looking for more information? Click here for detailed articles and terms on our support site.
4. Use this to select your date range. By default, this is limited by a Relative Date filter to move the range forward automatically. You can erase or modify the Relative Date in the Filter Pane.
5. This is the most recent data point in the dataset and indicates the report time zone.
6. All other filters can be found in the filter pane. 

Content Overview

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1. The total unique sites with views in the reporting period.
2. This is the percentage change in viewed sites from the previous period to the current one. The previous period is the range of dates behind the current period for the same number of days. For details, see our support site definition.
3. Churn % tells you the percentage of users who stopped viewing content during this period. This is calculated from the number of users that did not view this period but did in the prior period divided by the total previous and current viewers.
4. Sites ranked by the total unique viewers in the reporting period.
5. Select this button to go to a broad analysis of all your sites.
6. Select the data bar of a site to the left and click this button to focus on the performance of your selected site.
7. The total unique page viewers. You can click on the neighboring data bars to see this based on a specific context, like page viewers for a top site or page.
8. The percentage change in unique viewers from the previous period to the current one. The previous period is the range of dates behind the current period for the same number of days. For details, see our support site definition for the previous period.
9. This is the total number of page views for the reporting period. This will count each time someone loads a page. If you love a page and keep going back to it, then this is your kind of measure!
10. Top pages ranked by the unique page viewers. If someone views the same page multiple times in the same period, they are only counted once.
11. Select this button for a broad analysis of all your pages.
12. Select the data bar of a site to the left and click this button to focus on the performance of the selected page.
13. The time with the peak number of unique page viewers. You can click here to see a detailed plot below. The time zone is shown in the top right corner. The dataset owner can set the time zone; search our support site for details.
14. The day of the week with the most unique page viewers totaled across the report period. So if you have more than one week in your report period, it will bundle multiple days underneath the same day. You can click to see a detailed plot below.
15. The total number of pages created in the reporting period is not in a “Draft” or “Pending” status.
16. The average number of page views per user in the reporting period, where page views are divided by the unique number of page viewers.
17. The total unique viewers compared to the total viewers ever recorded from that location. You can rotate through a range of visualizations by clicking the icon in the bottom left. You can also pivot by province or city using the arrows at the top.
18. An inactive user has viewed from that location before but did not in the reporting period. You can rotate visualizations by clicking the bottom left icon. You can also change granularity using the arrows at the top.
19. A visualization of unique viewers vs. inactive users by percentage. This allows you to rank by the most engaged areas. You can rotate visualizations by clicking the bottom left icon. You can also change granularity using the arrows at the top.
20. The number of unique page viewers over time. This visual contains a dynamic date hierarchy allowing you to change the bottom axis to fit your situation. Use the double down arrow to move down and the up arrow to move up.
21. The total unique viewers by their total views in the reporting period. If users return to content often, this will have a gradual slope. However, if users often only view once, you will have the majority of users in the 1-3 category, then a long tail.

 

 

Content Navigator

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1. Summary statistics by Hub Site/Site/Page. You can navigate this hierarchy using the plus symbols on the left. If you are running a classic structure, you can use the modern/classic toggle to switch to a better layout for viewing subsites. See related (Exits)
2. Summary statistics by Hub Site/Site/Subsite/Page. You can navigate this hierarchy using the plus symbols on the left. If you use a modern structure, you can use the modern/classic toggle to switch to a better layout for viewing subsites.
3. Summary statistics for recent viewers and views
4. There are many elements that a user can click on in SharePoint. If you’re interested in a certain element you can search for it here and see it reflected in the clicks total below.
5. Total clicks and number of unique users clicking by element name. If the element did not have a label, we use the element class or surrounding name.
   The Recent Activity display data based on the Detail Period (days) parameter. This example shows that the summary period is set to 7/8/2021 - 7/7/2023, and the Recent Activity visual only shows data for 6/3/2022 - 7/7/2023.
6. Summary percentages based on statistics in the table above. You can select various levels above to see these percentages in the context of your selection.

Content Health

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1. Total viewed pages and unique page viewers over time. This visual contains a dynamic date hierarchy allowing you to change the bottom axis to fit your situation. Use the double down arrow to move down and the up arrow to move up.
   The Recent Activity display data based on the Detail Period (days) parameter. This example shows that the summary period is set to 7/8/2021 - 7/7/2023, and the Recent Activity visual only shows data for 6/3/2022 - 7/7/2023.
2. Use this to select pages that have last had activity within the range of dates. For example, select pages where the last view was 90-180 days ago. You can either delete these pages or remove references to them on your site menus.
3. Sometimes people stop using pages because they are slow, not because the content is poor. This totals the number of pages that load in over five seconds. You can sort by the Avg. Page Load column in the bottom right chart to see which are the slowest.
4. The average time for pages to load in your selection.
5. The total number of root sites with views in the report period.
6. Pages ranked by the total number of page views they have accumulated.
7. The total number of unique page viewers.
8. The total number of pages in your selection.
9. The percentage of viewed pages within your selection.
10. A list of all sites that have not had any views in the above selection.
11. A list of all pages that have not had any views in the above selection.

News Explorer

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1. Total number of unique page viewers in the reporting period.
2. The percentage change in unique page viewers from the previous period to the current one. The previous period is the range of dates behind the current period for the same number of days. For details, see our support site.
3. The average number of minutes a user spends on the selected news page(s).
4. The total number of sources that people come to your news page from. See the Page Performance report page for a full list of these source URLs and how many views came from each direction.
5. The percentage of people who view your page and then immediately leave. This suggests how many people stumbled upon your article, but it wasn’t what they were looking for.
6. The percentage of your views where your article(s) was the last thing the viewer looked at before ending their browsing session. This is usually a good thing as it indicates that the user found what they were looking for. See this page for details on exits. 
7. A ranking of location by unique page viewers. This gives you a pulse on where your audience is from. See Audience Location page for details. This visual contains a dynamic location hierarchy allowing you to see province or city.
8. The time with the peak number of unique page viewers. You can click here to see a detailed plot below. The time zone is shown in the top right corner. The dataset owner can set the time zone; search our support site for details.
9. The day of the week with the most unique page viewers totaled across the report period. So if you have more than one week in your report period, it will bundle multiple days underneath the same day. You can click to see a detailed plot below.
10. The number of unique page viewers over time. This visual contains a dynamic date hierarchy allowing you to change the bottom axis to fit your situation. Use the double down arrow to move down and the up arrow to move up.
11. Search for your news article by name or the article location here.
12. A full list of your news pages by popularity. You can navigate within this using the + / - on the left edge. If you’re in a classic site, you can use the modern/classic switch at the top for a nicer layout that reflects the nesting of subsites.

Engagement Overview

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1. Total Unique Viewers in the reporting period. The item at the bottom of the box is the percentage change in unique viewers from the previous period to the current one.
2. The percentage of page views where the user leaves immediately. The item at the bottom of the box is the percentage change in bounce rate from the previous period to the current one.
3. The average session duration in the reporting period. A session is the end-to-end time someone spends browsing on the platform regardless of the site or page. The item at the bottom of the box is the percentage change from the previous period to the current one.
4. The average time on page in the reporting period. The item at the bottom of the box is the percentage change from the previous period to the current one.
5. The ratio of users on the platform on a monthly level vs. a daily level. The bigger the gap, the less frequent users are on your platform. Click the buttons below for detailed articles on using this measure.
6. A plot of unique viewers in the reporting period. This visual contains a dynamic date hierarchy allowing you to change the bottom axis to fit your situation. Use the double down arrow to move down and the up arrow to move up.
7. A total of unique users by location. Select a location dot to focus the above visuals to a certain location.
8. The total unique viewers by a deep hierarchy: Department / Country / State/Province / City / AD Location.
9. The total unique viewers by a deep hierarchy: Client Type/ Operating System Group/ Operating System/ Browser Group/ Browser.
10. The time intelligence trend comparison calculations dropdown selector.
11. A plot of bounce rate in the reporting period. This visual contains a dynamic date hierarchy allowing you to change the bottom axis to fit your situation. Use the double down arrow to move down and the up arrow to move up.
12. A plot of session duration for the reporting period. This visual contains a dynamic date hierarchy allowing you to change the bottom axis to fit your situation. Use the double down arrow to move down and the up arrow to move up.
13. A plot of average time on page in the reporting period. This visual contains a dynamic date hierarchy allowing you to change the bottom axis to fit your situation. Use the double down arrow to move down and the up arrow to move up.
14. A plot of Monthly, Weekly, and Daily Active users over time. (MAU, WAU, and DAU Respectively). The dotted line is the ratio between the MAU line and your DAU line.

 

 

Site Audience

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1. Select this button to see a detailed list of the bottom five measures down to a country, province, or city level.
2. The total unique pages with views against them in the reporting period.
3. The total unique page viewers on any pages within the site(s) for the report period.
4. This is the % change in unique page viewers from the previous period to the current one. The previous period is the range of dates behind the current period for the same number of days. For details, see our support site.
5. This is the total unique users who viewed pages in the previous period but did not in the current period.
6. This is the total unique users who viewed pages in this period who did not in the previous period.
7. Churn % tells you the percentage of users who stopped viewing content during this period. This is calculated from the number of users that did not view this period but did in the prior period divided by the total previous and current viewers.
8. A breakdown by country, province, and city. You can use the up and double down arrows at the top of the chart to change the row detail level.
9. Summary statistics by Page Author. Have friendly competitions between your page owners, search for the best Authors to promote content, or compare notes to see what methods work best to engage your audience.
10. A percentage breakdown of views by device. This contains a large dynamic hierarchy allowing you to visualize this by the following: Client Type/ Operating System Group/ Operating System/ Browser Group/ Browser.
11. Your top pages for the site(s) ranked by unique viewers, their relative percentage of views, and total pageviews. Pageviews % of average is the difference in views for that page vs. the average for all pages listed in this table.
12. A plot of your selected measure (from the top right) by date. This visual contains a dynamic date hierarchy allowing you to change the bottom axis to fit your situation. Use the double down arrow to move down and the up arrow to move up.
13. A plot of your selected measure (from the top right) week over week for each day.
14. A plot of your selected measure (from the top right) by date for the top five ranking countries. You can control the number of countries shown in the visual filter. This visual contains a dynamic date hierarchy, the same as the others.

 

Audience Behavior

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1. Understand your new and returning users behavior. A user can be in both categories if their first visit was in the same period as subsequent sessions.  
2. The unique number of people who viewed your content for the reporting period.
3. The total sessions for your content in the reporting period. A session is the end-to-end time someone spends browsing on the platform regardless of site or page.
4. Total page views for your content in the report period. If someone leaves and returns to the page in the same session, we count each event as its own page view.
5. The average time a user spends on your content. The format is hh:mm:ss. A session is the end-to-end time someone spends browsing on the platform regardless of site or page.
6. A categorization by the number of sessions a user had for your report period. This helps you understand how often your audience is viewing your content. Don’t forget to reference the unique viewers (right). Sometimes you have very few but frequent viewers.
7. Understand how long it's been since the last session for a user. This is not unique to a viewer, so a person could be counted in multiple categories for the reporting period.
8. Sessions by the person's duration.
9. How many pages deep your users are going in their session.
10. This allows you to see the page views as a percentage of your content overall.

Page Performance

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1. Total unique page viewers in the reporting period.
2. The total number of page views in the reporting period.
3. The time with the peak number of unique page viewers. You can click here to see a detailed plot below. The time zone is shown in the top right corner. The time zone can be set by the dataset owner, search our support site for details.
4. Churn % tells you the percentage of users who stopped viewing content during this period. This is calculated from the number of users that did not view this period but did in the prior period divided by the total previous and current viewers.
5. The total time spent on your selected page divided by page visits for the reporting period. A pages session duration is capped at 30 minutes.
6. The average time it takes for your page(s) to render or load to the user. The color indicates how slow the page is. Research shows that users begin to get annoyed after five seconds. See our support site for details.
7. The total unique sources that users arrived at your selected page(s) from. See the list of Referring URLs to the right for a detailed list of each source and the number of views that came from each referring URL.
8. The total unique URLs that users left to after visiting your page. See the list of destination page URLs to the right for counts and a detailed list of each of the destinations.
9. This is a list of URLs that your users arrived to your page from. You can sort by either total views or the unique number of users by URL. A user can still be counted multiple times from each distinct URL, however, the total will still be distinct.
10. There are very many elements that a user can click on in SharePoint. If you’re interested in a certain element, you can search for it here and see it reflected in the clicks total below.
11. A full breakdown of a number of user statistics by the factor that you have selected on the left drop-down.
12. Total clicks by element name. If the element did not have a label we use the element class or surrounding name. Be careful as this does not cross-filter to surrounding visuals.
13. This is a list of URLs that your users left to from your page(s). You can sort by either total views or the unique number of users by URL. A user can still be counted multiple times from each distinct URL, however, the total will still be distinct.
14. A plot of your selected measure (from the top right) by date. This visual contains a dynamic date hierarchy allowing you to change the bottom axis to fit your situation. Use the double down arrow to move down and the up arrow to move up.
15. The total unique viewers by their total views in the reporting period. If users return to content often, this will have a gradual slope. However, if users often only view once, you will have a majority of users in the 1-3 category then a long tail.

  

 

Audience Location

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1. The total unique page viewers from the previous period. The previous period is the range of dates behind the current period for the same number of days. For details, see our support site definition for the previous period.
2. The total all-time viewers from your selected location.
3. The percentage of unique page viewers out of the total all-time page viewers.
4. This is the percentage change in unique page viewers from the previous period to the current one.
5. The total unique page viewers in the reporting period.
6. The proportion of page viewers that are new to the site or returning.
7. The total number of first-time page viewers in the reporting period.
8. Churn % tells you the percentage of users who stopped viewing content this period. This is calculated from the number of users that did not view this period but did in the prior period divided by the total previous and current viewers.
9. This is the total unique users who viewed pages this period who did not in the previous period.
10. This is the total unique users who viewed pages in the previous period but did not in the current period.
11. The time with the peak number of unique page viewers. You can click here to see a detailed plot below. The time zone is shown in the top right corner. The time zone can be set by the dataset owner, search our support site for details.
12. The day of the week with the most unique page viewers totaled across the report period. So if you have more than one week in your report period it will bundle multiple days underneath the same day. You can click to see a detailed plot below.
13. The total number of activities based on your selection in the dropdown (below) for the reporting period. This visual contains a dynamic hierarchy that allows you to change detail from country/province/ and city.
14. Summary statistics detailed to the level selected from the dropdown in the top left.
15. A plot of your selected measure (from the top right) by date. This visual contains a dynamic date hierarchy allowing you to change the bottom axis to fit your situation. Use the double down arrow to move down and the up arrow to move up.

Technical Performance

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1. The average page load by a user. This allows you to identify if the page is slow for many users or localized to certain devices.
2. This is a total of all pages with average page load times in excess of 5 seconds. Studies show that users get annoyed with a page when they need to wait more than five seconds. The percentage underneath is the % change.
3. The average page load duration in the reporting period.
4. A list of pages by page load durations the number of unique viewers affected, and unique page views in the sample.
5. Total views bucketed by page load duration and country. This way you can easily spot if slow page load times are localized to a region. This contains a dynamic hierarchy allowing you to switch between country, province, and city.
6. Page load duration by date. This way you can see if page load times have changed as a result of a change or have drifted over time. This visual contains a dynamic date hierarchy allowing you to change the bottom axis to fit your situation.

 

Search Activity

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1. This count shows the total number of searches on a particular page for the reporting period.
2. This count shows the total number of 'No Results' found for any searches on a particular page for the reporting period.
3. This count shows the total number of users who did the searches on a particular page for the reporting period.
4. This table shows the stats of total searches, click-throughs, no results found for any search, and the number of users doing the searches on particular sites for the reporting period.
5. This map shows the search stats (number of searches and number of users who are doing the searches) by geographical location for the reporting period.
6. This table shows the number of users who did the searching based on search queries, job titles, and departments for the reporting period. You can drill up and down to see the numbers for different levels.
7. This table shows the number of total searches, click-throughs and no results found for particular search queries for the report period.
8. This table shows the total number of searches and the number of users who did the searches based on Client types, Operating Systems, and Browser types for the report period.
9. This table shows the total number of click-throughs and the number of users doing the searches based on User name, clicked link, and click-through text hierarchy level for the report period.
10. This line chart shows the search stats by dates. It can be drilled down/up to see the stats for different date hierarchy levels (i.e. yearly, quarterly, monthly, weekly, daily, period of the day, hourly etc. ) for the reporting period

Metadata Engagement

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1. This card shows the total number of verified unique readers who have had a minimum read time (minutes) and scroll distance down the page for the reporting period.

2. This card shows the total number of tags/unique topics for the reporting period.

3. This card shows the bounce rate for the reporting period. Bounce rate means the percentage of views where the person viewed and immediately backed out. The lower the percentage is, the better. Below 10% is excellent, around 20% is good, and above 40% is generally bad.

4. This card shows the exit rate of viewers for the reporting period. An exit is the last page view in a users session. Exits are important to measure because they indicate that users stopped their session with your content. This could be good or bad, depending on the view duration and purpose of the page.

5. This card shows the viewer churn for the reporting period.

6. This card shows the scroll percentage of the pages for the reporting period.

7. This shows the total amount of average time spent (in minutes) on a page for the reporting period.

8. This bar chart shows the count of active pages by tags for the reporting period.

9. This bar chart shows the number of unique page viewers of the active pages by tags for the reporting period.

10. This bar chart shows the total average minutes spent on the active pages by tags for the reporting period.

11. This line chart shows the counts of verified unique readers, tags/unique topics, bounce rate, exits percentage of views, unique page viewer churn, scroll percentages by different date hierarchy levels: (daily, weekly, monthly, quarterly, and yearly) for the reporting period. We can drill up/down to see the stats from different time levels.

Campaign Analysis

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1. Choose the desired metrics to display the data. All visuals present on the page will adjust accordingly to reflect the selected metric. These include Sessions, Pageviews, First Time Viewers, Average Session Duration, and Unique Page Viewers.
   • A session is the end-to-end time someone spends browsing on the platform regardless of site or page.
   • Pageviews is the total number of views on a page.
   • First Time Viewers takes into consideration the selected date range and counts the distinct viewers who have not previously seen any content on the site or page during that period.
   • Average Session Duration represents the mean duration, measured in minutes, of all the sessions that have taken place.
   • Unique Page Viewers represents the number of unique individuals viewing content in the selected period.
     
     
2. Choose the source of the Campaign.
   • Campaign Type differentiates between UTM Campaigns and Referrer Campaigns.
   • Campaign Source will pick up the utm_source parameter for UTM campaigns if provided, or it will retrieve the information from the referrer URL parameter.
   • Campaign Name is only relevant to UTM campaigns and will show the utm_campaign parameter.
     
     
3. Observe the trend of the selected metric over time, compared by the source of the campaign.
   
   
4. Analyze the chosen metric based on the campaign source, specifically focusing on the evaluation of each page.
   
   
5. Break down the selected metric by utilizing the double-down and up arrows in the header when hovering over the visual to navigate between source and name.
   
   
6. This heat map showcases the time of day and day of the week when users engage with campaign content. It provides valuable insights into user interaction patterns, enabling better scheduling decisions for sending out communications.