Analyzing Content Performance in the CMP

This document describes each section in the Analytics page in the NewsCred CMP.

Analytics View in the CMP

To view how well your content is performing, click on the Analytics button on the left-hand side of the CMP

The analytics view now captures your articles viewed, pageviews, readers, average engagement time, the engagement rate of your articles, and trends over time and through various filters in an easy to digest header.

This gives you the ability to quickly understand how your content is performing by serving up the most important metrics to track. Keep in mind that all of this data is for the content on your site. We're tracking just the pages with content published from the CMP (blog posts, infographics, videos, etc) and ignoring pages like Home and About so you won't have to do any manual filtering to analyze the desired data.

Breakdown of the Metrics

Articles Viewed are the number of articles that have been read during the article view date and published date ranges (more information on date ranges in "Filters" section below).

Pageviews are your raw traffic, it's the total number of views the articles on your blog have generated during the period you've set in the article view and published date range.

Readers are the number of unique people that have viewed the article during the filtered article view and published date range.

Avg Attention Time is the average amount of time a user has spent engaged on the page. To generate this metric, we're tracking each time a reader interacts with their browser (moves the mouse, scrolls, etc). For example, if someone engages with the article for 30 seconds, switches tabs for an hour, and then returns to the article for another 30 seconds, the average engaged time is recorded as 60 seconds, which is the total time the user viewed only that article. 

Engagement Rate is the percentage of total pageviews where users were engaged with your content for more than 30 seconds.


The filters for the analytics are on the lefthand side of the page:

Article View Date allows the user to filter the date range in which the article is viewed. For example, if someone wants to analyze 

Publish Date is the date the article was published

Metrics allows the user to choose which graph you would like to see. The metric choices include pageviews, readers, engagement time, and average engaged time. The chart below is an example of when the Metric filter is set to Pageviews:


You can also filter by campaigns, sources, authors, topics, WordPress tags, WordPress categories, and channels.

Learn more about channel metrics here.

We've also introduced a weighted sort on these tables and the top content table on either average page views, engaged time, or engagement rate.  It's important to note the weighted sort.  This is a better way to sort performance across metrics than an unweighted sort.  It eliminates outliers that may cause distribution of results to look strange.  Check out these 2 great articles explaining weighted sort (one, two). Note that the weighted sort is only available for the engagement rate and average engagement time metric filters. For the pageviews and readers metrics, weighted sort is not available.

Tracking Top Performance

To get a more detailed look on top performance, click on "Show Top Performing Groups" at the bottom of the page:

Top performing topics, authors, sources, channels, and if you're hooked into WordPress, tags and categories, are all displayed at the bottom of the analytics view!


Every article published will now have the top referral sources, so you can focus on targeted distribution and media buying on those channels.

The "show/hide columns" button allows you to edit the top performing content list to exactly what you would like to see.

If you click on the article title link ("SEO Best Practices For Content Marketing" in the image above), this link will take you to the task within the CMP.

You can also see more detailed information about the referral channels for each article by clicking on the row in the chart. The pie chart also corresponds to the color of the campaign that the article was published to.

NewsCred uses the information to guide how often we should distribute our articles on each channel and what the most effective channels are for the articles we've published.

Exporting Data 

Exports with a lot more data to do any number crunching you need

Your data can be exported for deeper analyses on specific time ranges.  Simply press the export button in the upper right-hand corner of the analytics view. In our exports, you'll be able to analyze the performance of topics, custom fields, and authors.  You can slice the data any way you want through full data exports.  Have fun analyzing!

Analytics in a Task

You can find analytics on specific articles within a task

Inside a task in the upper right corner of the screen, there is a blue "Show Analytics" option, which when selected, will give you analytics on that particular story:

The analytics can be hidden again by pressing "Hide Analytics"


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