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Real-Time Engagement-Driven Content Analytics

Pawel Blazejewski
December 16, 2019
Real-Time Engagement-Driven Content Analytics
Pawel Blazejewski
December 16, 2019
X MIN Read
December 16, 2019
X MIN Read
December 16, 2019
X MIN Read

Dashboards don’t have to be boring. Aside from our expertise in providing our clients with real-time user scoring to drive paywalls, recommendations and offer engines, we wanted to let our customers understand the basic yet important information about their users’ engagement and content performance in an easy-to-digest and visually appealing way.

We enable your editorial teams to keep an eye on your content and audience at all times.

Compare numbers of Unique Users so far today to previous periods. For example, previous Mondays.


Compare current average RFV Engagement Score to previous periods.

One of your key KPI’s should be maximizing your publication’s RFV (Recency, Frequency & Volume) Score. The better the audience quality you build with your content and product, the more it builds over time, which is naturally reflected in monetization boost from both subscription and ad revenue perspectives.

Learn more about our engagement scoring here.

Track how many users from each engagement segment you’re bringing to the site.

Making sure that your Addicted users are coming back everyday should be the most important task for editors. At every moment in time you can see if you’re performing better or worse in bringing in different user segments versus previous periods.

In the same way, look at your Subscribers and Non Subscribers ratio healthiness.

See how many users (all or from specific segments) are on your site right now versus previous periods.

Learn which sources drive your traffic such as: Search, Social Media, Direct, Recirculation, Home Page or Other sites.


You can see all the key metrics displayed by each article such as Page Views, RFV Score, User Segments & Subscribers participation in content views, traffic sources + our very own metric EPV (first column).

EPV combines RFV Engagement Scores with Page Views by weighting a user page view depending on whether this user’s engagement was higher or lower than average at the moment of visiting the article. This gives your editorial team a perfect basis on which to judge content on a daily basis. As you can see in the example below, the article on top of the list has a lower number of Page Views than the article below but a higher engagement score. Thus it is ranked higher.

If you have two pieces of content with a similar number of Page Views, which one would you mark as a better one? EPV is the answer here.


Last but not least, you can filter all data by a single segment of users with a combination of Subscribers/Non-Subscribers + traffic source.

For example, you can:

  • learn which articles brought users back on social media after a long period of inactivity (Won-back segment).
  • which content drives your Addicted users vs. Fly-bys
  • what’s the proportion of Subscribers in your Addicted users segment or among Fly-bys

Finally, we know you ❤ heat-maps!

That’s why we’ve added a majority of the features listed above to a heat-map that you can easily turn on as your site overlay by downloading it from the Chrome Extensions Store.

Each link on your home page will be marked with a chosen corresponding metric to track your home page consumption from the EPV, Page Views & RFV perspective. Elements colored  green will boost placements that perform highly above average within a specific metric, user segment or chosen time range.


You can also filter by a single user segment to learn which content gets the attention of your ex-Addicted users on the home page.

How about re-structuring articles on your home page according to their popularity among this segment?

We can promise you higher CTRs just by doing so.


If you’d like to see the dashboard and heat-map live and learn more how it works or how it can be further customized to your needs, don’t hesitate to drop us a line at hello@deep.bi.

Pawel BlazejewskiDecember 16, 2019

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