Content Performance Indicator (CPI) is the heart and soul of Content Insights. It's an algorithm that shows how well your content is performing in comparison to other published articles on your website.

CPI takes into consideration dozens of different content performance metrics and examines their relations. It also weighs them differently according to three behavioral models:

  • Exposure
  • Engagement
  • Loyalty

Content Insights collects all the necessary data about the traffic and the audience from the publishing platform (your domain) and behavior signals from social networks for each article.

This data is then converted to raw metrics (e.g. Pageviews, Bounce, Visits, Visitors) and scored metrics (Read Depth, Page Depth, Attention Time, etc).

All the collected data then moves to our weighting and scoring algorithm.

The result of normalization, which is the next step, is always a number between 1 - 1000, achieved by distributing scores non-linearly around the median which is set to 500 - to serve as a baseline for comparison.

Besides its precision, the value of CPI lies in the fact it actually quantifies human behavior. You can observe CPI scores on the article, author, topic, section, referrer and many other levels. This score is always presented in a single number between 0 and 1000.

Interpreting CPI scores is pretty straightforward:

CPI score of 500 = baseline
CPI score < 500 = underperforming
CPI score > 900 = exceptional performance

Why is this scoring system useful? Well, with just one glance, you can understand what’s going on with your content. You can, for instance, identify articles that need promotion since they are performing well but lack exposure, or pinpoint potential gaps and flaws in your current paywall strategy and see which articles could be turned into premium ones.

To learn more about how CPI is actually calculated, please take a look at CPI perspectives