How to use the MSN Partner Hub analytics dashboard
The Analytics dashboard in MSN Partner Hub helps you monitor your brand’s performance with data on page views, followers, video engagement, referral traffic, and more. You can toggle between Partner and Brand views, apply filters, view real-time trends, and export customized reports to support your business goals.
Note: The features available in your dashboard may vary based on your user role. Learn more about user roles and permissions.
In this article
Using filters and views
Content analytics
Content performance data is processed to remove bot traffic and aggregated to show meaningful trends. This data is normally available within 24 hours after the day it was logged. All performance data has been processed to remove garbage data, bot traffic and aggregated values.
Referral traffic
Referral traffic tracks readers who navigate from MSPH to your brand's homepage. Referral Traffic data has been processed to remove bots and to aggregate certain metrics. This data is normally available within 24 hours after the day it was logged.
Real-time data
Real-time data shows unprocessed data from the previous 15 minutes. It may not always match Performance Data, which has been processed to remove bots and to aggregate certain metrics. Reports are generated from processed data, not the real-time stream.
Real-time data is optimized for speed, showing data from the last 15 minutes. Select from the drop-down menu at top left on the real-time report to show trends on a time range from the past hour to the past three days.
Followers
Track your audience growth using four key metrics:
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Total followers
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Followers gained
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Followers lost
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Net followers
Clicking on any date in the charts reveals a detailed view, with a summary table displaying by-brand results. You can export the data table as a CSV file using the 'Export CSV' button located above the table.
Using filters and views
You can refine your data using filters, which apply to both the graph and summary table:
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Market – Filter by country or region.
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Language – Filter by content language.
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Vertical – Limit to verticals such as News, Sports, Entertainment.
Note: This filter is not available in Realtime Data view.
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Content Type – Filter by articles, galleries, or video. For example, selecting Articles will limit your results to only articles. Note: When set to video, "views" will be the number of video starts, and "unique users" will be the number of video starts by unique users.
Video views = starts; Unique users = unique starts
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Device – Compare performance across devices (browser vs. app).
Note: This filter is not available in Realtime Data view.
You can combine filters to tailor results to your business goals. For example, you can limit data to a specific vertical in a specific market.
Graph and summary table
The graph displays key performance metrics for all content, including page views, unique users, likes, dislikes, and comments. For video content, it also shows engaged views, total watch time (consumed video), views, and unique viewers. You can change the displayed metrics using the Metric drop-down menu.
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Page views: Total number of times an active user viewed/refreshed the page (user does not have to be unique).
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Unique user: Total number of times unique active user viewed/refreshed the page.
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Likes: Total number of times the content was liked on the previous day. ‘Likes’ does not support by-vertical or by-device breakdowns.
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Dislikes: Total number of times the content was disliked on the previous day. ‘Dislikes’ does not support by-vertical or by-device breakdowns.
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Followers: Total number of followers acquired on the previous day for all the brands.
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Comments: Total number of comments received on the previous day in all supported markets. ‘Comments’ does not support by-vertical or by-device breakdowns.
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View or video start: Total number of times an active user started the video (user does not have to be unique).
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Video starts UUs: Total number of times a unique active user started the video.
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Engaged view: The count of video starts where the user stays engaged for a defined period of time (currently at 5 seconds).
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Consumed video: The total amount of seconds a video was watched (also known as Watch Time). If a video was watched for 3 seconds, the Watch Time would be 3 seconds. If the video was watched for 45 seconds, the Watch Time would be 45 seconds. All the Watch Times are aggregated and reported by headline, brand, and publisher.
The summary table displays the results from the graph above, in tabular form. It shows the summary data for the selected date range and reflects the selections you make in the filters.
Use the More columns option in the top right of the table to add columns to your results. Select the options relevant to you:
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Market
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Content Type
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Vertical
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Language
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Device
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Brand
Headline-level data
The Headlines tab shows individual content performance for the selected time range (up to 31 days). The data is aggregated and can be filtered using the same options as the summary view.
You can add additional columns to the headlines table by selecting any of the check boxes below in the More columns filter at the top right of the table:
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Market
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Content Type
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Vertical
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Language
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Device
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Brand
Exporting data
To export a report:
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Click the Export CSV button at the top right of the summary table.
2. In the Export data window:
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Select All Brands or a specific brand.
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Choose your View (Overview or Headlines).
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Choose your Report Type (Page Views, Video, or Traffic).
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Select Time Aggregation (Daily or Monthly).
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Set a Custom Date Range.
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(Optional) Add extra columns: Market, Language, Device, etc.
3. Click Export Report.
Important: Do not refresh your browser while the file is downloading.
Data definitions
Unique users in the analytics reports are Active users.
Active users are returning users who have previously visited the site and taken an action on the page, such as viewing content. Users who return after two or more days and engage with the page are included in the active user count.
Note: Third-party analytic plugins such as Google Analytics are not supported on MSN at this time.