Table of contents

In this article, you can gain insight into Happeo's Analytics and learn what each element consists of.

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Happeo’s Analytics, which is accessible by Admins, provides you with insight into what’s been happening inside your Happeo.

For example, you can find data and graphs showing you how users interact with Channels and Pages in your environment. You can also find influencer statistics and search data. 

Data updates

Happeo’s Analytics can be found by clicking on your avatar and selecting Analytics.

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Controls

At the top of the Analytics page (by default you will be taken into the Analytics Overview), you can find filters, namely:

  • Date range
    • Last 7 days
    • Last 30 days
    • Last quarter
    • Last year
    • Custom
      • Choosing this option will display data for the "last tracking period." This refers to the time range preceding the current selection. For instance, if you set the custom date range to June 13 to July 24, the last tracking period would encompass the 7 days leading up to June 13. The last tracking period is the same amount of time as the custom date range you have set (e.g. 7 days before the last 7 days)
  • Interval
    • Daily
    • Weekly
    • Monthly

You can easily toggle between different date ranges or select a custom date range. This will change the data calculated in the overview.

Analytics

You can also export a CSV, which will give you the possibility to dig deeper into the data and make your own graphs such as with Google Sheets.

By clicking on the Filters tab on the left of the page, you can also filter the data based on Organization unit paths and Organizations. 

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Lastly, whenever you are presented with a graph, you can change the presentation of the data by clicking on the graph symbol at the top right corner of the graph. 

Additionally, sometimes filtering options will be available at the bottom of a graph that you can toggle between or have toggled simultaneously.

OverviewAnalytics

The overview gives you a summary of what has been happening in your Happeo. You can find the most important heartbeat numbers on top such as:

  • Active users – Unique users who have started a new session in the selected time period
  • Active mobile app users – Unique users who have opened the Happeo mobile app in the selected time period. These statistics are supported by the 1.66 mobile app version and onwards 
  • Channel views – The number of views on all Channels within your environment in the selected time period
    • A Channel view is counted when a user opens a Channel and when they navigate to a different section. This means that if a user opens a Channel, goes to the Channel Folder, and then to the Channel Calendar, this is counted as three views
  • Page views – The number of views on all Pages within your environment in the selected time period
  • Total Posts published – The total number of Posts published in the selected time period
  • Total comments published – The total number of comments published in the selected time period

You can also find graphs of:

  • Active users
  • Channel views
  • Page views
  • Post engagement

To get a more in-depth view of the statistics for each category, you can navigate to a specific section from the menu.

Analytics

Analytics

Channels

OverviewAnalytics

The Channel overview provides you with a summary of how users within your environment are using Channels. You can find the following data:

  • Active Channel users – The number of users who have visited Channels in the selected time period
  • Channel views – The number of views on all Channels within your environment in the selected time period
    • A Channel view is counted when a user opens a Channel and when they navigate to a different section. This means that if a user opens a Channel, goes to the Channel Folder, and then to the Channel Calendar, this is counted as three views
  • Channels created – The number of Channels created in the selected time period

You can also find Channel statistics for:

  • Active Channel users
  • Channels views
  • Channels created

Analytics

Happeo_s_Advanced_Analytics_3.png

ExplorerAnalytics

The Channel Explorer presents you with the data for individual Channels. For instance, you can find the following information:

  • Channel name
  • Channel views
    • The count of every time a user views a Channel in the selected time period
  • Unique Channel views
    • The count of individuals who have viewed a Channel in the selected time period
  • Posts – The number of Posts published in a Channel in the selected time period
  • Comments – The number of Comments made in a Channel in the selected time period
  • Drop-down menu to filter between Channels

PostsAnalytics

Here, you can find a summary of:

  • Post engagement – The sum of all engagement values (Posts created, Post reactions, Comments created, and Comment reactions) in the selected time period
  • Posts created – The number of Posts created in the selected time period
  • Post reactions – The number of reactions (likes) given to Posts in the selected time period
  • Comments created – The number of Comments created in the selected time period
  • Comment reactions – The number of Comment reactions (likes) in the selected time period

You can also find a graphical representation of Post Engagement for all Channels within your environment. 

You can uncheck the boxes at the bottom of the graph based on the data you want to be shown. The data you can view include totals of:

  • Posts created
  • Post likes
  • Comments created
  • Comments liked

By checking these boxes, you will be shown data over a specific period of time depending on your filtering options.

Lastly, by hovering over each data point on the graph, you will be presented with the aforementioned data for a specific date.

PagesAnalytics

Overview

The Pages overview shows you a summary of the page engagement within your environment. This overview includes data of:

  • Active Page users – The number of users who have visited Pages in the selected time period
  • Page views – The number of views on all Pages within your environment in the selected time period
  • Pages created – The number of Pages that have been created in the selected time period

In the selected time period, you can also find graphical representations of:

  • Active Page users
  • Page views
  • Pages created

By hovering over each data point on the graph, you will be presented with the aforementioned data for a specific date

You can uncheck the boxes at the bottom of the Active Page users graph based on the data you want to be shown. The data you can view include totals of:

  • Active Page users
  • Active Page users (mobile)

ExplorerAnalytics

The Page Explorer provides you with data for every individual Page within your environment during the chosen time period. Here, you can find:

  • The Page name
  • The Page Group name
  • Number of Page views
    • The count of every time a user views a Page
  • Number of unique Page views
    • The count of individuals who have viewed a Page
  • If a Page is published or unpublished
    • By hovering over the question mark icon adjacent to an unpublished Page, you can access additional information about the specific elements that remain unpublished. This includes details such as the unpublished status of the Page's primary language
  • Search bar to filter between Pages

People

InfluenceAnalytics

In the influence overview, you will be presented with the top influencers for all Channels in your environment within a specified period of time. To filter these Channels, you can click on the Channel filtering option on the top-right of the page and select a specific Channel from there. You can also use the search bar to look up names, departments, etc.

The top influencers are determined based on the total number of Posts, Post comments, Post likes, and comment likes they have received. Top influencers have the highest counts in all of these. 

The data shown includes:

  • The influencer names
  • The number of Posts they have created
  • The number of comments they have made
  • The number of Posts they have reacted (liked) to
  • The number of reactions they have received from their comments
  • An aggregate sum of all the aforementioned data

EngagementAnalytics

The Engagement overview provides you with a summary of the users who have contributed the most on the basis of the total number of Page impressions, Posts, and comments they have created and the impressions and reactions they have received from them. Top influencers have the highest counts in all of these. 

In addition, you have the ability to filter the results based on Channels by clicking on the filter option located at the top-right corner of the page. Furthermore, you can utilize the search bar to easily look up specific names, departments, and other relevant information.

The data provided in this overview include:

  • Contributor names
  • The number of Page impressions they have received
  • The number of Posts they have created
  • The number of Post impressions they have received
  • The number of comments they have created
  • The number of reactions they have received on their Posts
  • The number of comment reactions they have received on their comments

Impressions

Impressions are the total number of impressions for a user in the People Engagement section.

Analytics

Page impressions

Page impressions refer to Page engagement. They are the total number of unique users who have viewed a Page. For a Page impression to appear in the Analytics, a Page must be viewed.

Post impressions

Post impressions refer to Post engagement. They are the total number of unique users who have viewed a Post. For a Post impression to appear in the Analytics, a Post must be seen in full. This does not include or relate to comments and emojis. 

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Why aren’t total impressions not included in Post Analytics?

The reason that total impressions (views) are not included in Post Analytics is due to the way impressions are counted, which takes scrolling into account. When we include total impressions, it can lead to inflated numbers for several reasons. For instance, a Post may remain visible on the Channel for an extended period, which counts as an impression when a user opens the Channel and sees the Post, or the same individuals may read the Post repeatedly. Additionally, a large number of users simply viewing the Post could also contribute to high impression counts.

However, high impression counts may not necessarily provide meaningful insights about the Post's actual performance or engagement. Therefore, total impressions are excluded from Post Analytics because they offer limited value in understanding the Post's true impact.

Post reactions

Post reactions refer to the likes given to a Post.

Comment reactions

Comment reactions refer to likes given to a comment. 

Search

(December 14th, 2023): Search Analytics calculation improvements

This year, we introduced a new Search experience in Happeo, improving the overall search experience for users and making it easier to find results. Now, we have fine-tuned the Search Analytics calculations to align with the evolving search patterns of our users. You can find more details below ("How Search Analytics are calculated") or in this blog post.

OverviewAnalytics

The Search overview provides you with statistics regarding the total number of searches within a given frame of time. Moreover, it shows you:

  • Unique search users - Searches by unique users (if a user performs 2 searches, it is considered as 1 unique search)
  • Average time to find results - The average time it takes for users to find a search result
  • Average time on opened results - The average time users spend on an opened search result
  • Success percentage - The percentage of success when searching for something. Success is determined by clicking on a result after searching
  • Failure percentage - The percentage of failure when searching for something. Failure is determined by not clicking on a result after searching

Why do users get domain-based search results? - When the user tab is opened in the navigation, if there is no previous search query, it will search with the user's domain. That will make the domain appear in the search queries.

In the Search overview, you can also find a graph of total searches, which you can filter the data based on:

  • Opened item – This means that one of the preview results was clicked
  • Refined search – This means that a user typed a query into the search bar, didn’t find what they were looking for, and changed the query. If the user changes the query to a different word completely, it won’t count as a refined search
  • Gave up – This means that a user opened the search bar, typed in the query, did not click on any results, and left. It can also mean the user did nothing for 2 minutes or longer

By hovering over each data point on the graph, you will be presented with the aforementioned data for a specific date

Additional glossary

  • Search session – One search session can have multiple queries in it. When a user opens the search bar, a search session is started.

How Search Analytics are calculated

How they were calculated in the past

Our Search Analytics categorized user searches into three main groups: successful, failed, and refined. These categories accounted for 100% of all user interactions with our search system.

However, upon the release of the new search experience, how we defined failed and refined searches led to:

  • Refined searches being classified as failed
  • And successful searches as refined

This is why you might have seen your search success percentage decrease. In reality, some of those searches that were initially labeled as failed were actually successful when you consider the refined searches that followed.

For example:

  • Changing “Produkt” to “Product” would be a failed search. This should have been a refined search
  • Changing “Product” to “Product Roadmap” would count as a refined search
  • If you start typing "Pro," see some results, get distracted for 5 seconds, and then continue by adding "duct" to form "product" and click on a result, it would be counted as two separate searches. One is a refined search, and the other is a successful search session rather than just one successful search

How they are calculated now

  • Success and failure together make up 100% of total searches. Refined searches are calculated separately
  • The concept of a refined and gave up query was redefined according to the current behavior
    • Refined – This means that a user started a query and then changed that query. If you change the query to a different word completely, it won’t count as a refined search
    • Gave up – This means that a user opened the search bar, typed in the query, did not click on any results, and left. It can also mean the user did nothing for 2 minutes or longer
  • The Overview section in search analytics is based on Search Sessions
  • Terms are based on Search Queries
    • This means the average time to search increases, in some cases rather dramatically. However, this adjustment leads to greater accuracy, as a search session encompasses all the queries a user employed to reach their final result

You can still access your old search logic data. In the Search Analytics, a drop-down menu will be available until the 1st of April 2024. This allows you to see the data from before the introduction of the new calculation process, although the old logic cannot be applied to new data. 

After the 1st of April, you can still access that data, but it will have to be through a CSV report which you can download.

 

Terms

Analytics

The search terms presented in this section reflect the most searched terms in your environment within a given period of time. You can also find the:

  • Total number of times a term has been searched
  • The number of unique search users per term
  • Terms’ previous rankings

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You can also filter the results by:

  • Opened item – One of the preview results was clicked
  • Refined search – The search query has been modified, but the new query incorporates the previous one. For instance, if the initial query was "Amster," and it is changed to "Amsterdam," it indicates that the user is still searching for the same concept or topic, albeit with a more specific or refined term
  • Gave up – The user has not clicked on any results, either in the preview or on the search page. Additionally, they have modified the query in such a manner that the new query no longer includes the previous one

In the All view by clicking on Details next to the search term, you will be given more insight regarding the search term, such as:

  • Average search time – The average time it took for users to search a term
  • Average result visit time – The average time users viewed a term result
  • Average result position – The position of the result (how far up or down in the results the item was shown)
  • Clicked result types – The different types of results that were opened when searching with a query
  • Results found in sections – Search sections that were used for searches and which showed results to users

What does it mean when a term is trending? – A trending search term refers to a term that experiences a frequent number of searches compared to others during a specific time period.

Google Analytics

This section will enable you to use a Google Analytics tracking ID to use Google Analytics to track how Happeo is used. To learn how to set up this integration, please see our article regarding the Google Analytics integration

Exporting a CSV

From the Analytics page, you can export a CSV of:

  • General overview
  • Unique users
  • Channel statistics (including hashtags)
  • Page statistics (including hashtags)
  • User engagement statistics
  • User influence statistics
  • Top searches
  • Raw search data 
  • Individual Post Analytics
  • Time series Post Analytics

On the Analytics page, you can first adjust the time frame of the data (e.g. 30 days). This will present the data in the CSV file based on the time frame you have set.

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To export a CSV of any of the above data, you can find the export button at the top right corner of the page. By clicking on any of the types of data, a CSV file will automatically be downloaded. 

Q&A

If Happeo is set to open by default when opening a browser, does it affect the count of "Active Users"?

Yes, when Happeo is reloaded by a user, it will affect the "Active Users" count.

An Active User counts as any user who has visited any part of Happeo, including when Happeo is launched as a homepage in a browser.

Analytics

When counting Page views, does going from the environment's homepage to another, and then back to the homepage count as three different Page views?

Yes, the aforementioned scenario will be counted as three Page views. However, in this case, there are two unique page views:

  1. One for the homepage
  2. And one for Page you visited

Is it possible to get a full list of Pages (not Page Groups) in the CSV export?

Unfortunately, obtaining a complete list of Pages in the CSV export is not currently possible. However, you can use a workaround by adjusting the start date in the Analytics view settings. By setting the start date to date as far back as two years, you can include as many Pages as possible in the export, thus creating a more comprehensive list. While this method may not capture all Pages, it can help provide a broader overview of the available Pages in the exported CSV file.

Is there a way to see who isn't using Happeo?

To determine who isn't using Happeo, you can utilize the CSV export feature accessible through Admin Settings > User Management.

By exporting the CSV file, you will gain access to various user data, including a "Last Seen" column. If a user's last seen status is marked as "Unknown," it indicates that they haven't utilized Happeo at all, implying that they are not actively using the platform. By reviewing this column, you can identify users who haven't been active on Happeo and conclude that they are not currently using the platform.

To learn more about how to export a user list CSV, please see this article.

When is something considered a “refined search?”

The classification of a search term as “refined search” occurs when a user modifies their initial query in the search bar, and this modification is detected within a debounce time of 0.3 seconds. During a 0.3-second interval, if the new query differs from what the user had typed 0.3 seconds ago, the system takes two actions:

  1. It performs a new search based on the modified query and returns relevant results
  2. It triggers the recording of a corresponding analytics event, which could be classified either as a “refined search” or as the user “giving up,” depending on the nature of the changes made to the query

In essence, the user modifies the term in the search bar, and the system responds accordingly based on the timing and nature of the modification.

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