Insights – Definition And Use

TrenDemon’s Insights Section is designed to provide a deeper look into your content journey analytics, customer journeys, and traffic acquisition sources, and is made up of the following parts:

Content Insights

Basically, the Insights section provides everything you need for measuring your content marketing analytics. It enables you to understand content attribution, the best content for converting users, and which items have a better read ratio.


What can you learn from the content section?

Here are some relevant KPIs:

Visits & Completed– shows how many visitors came to the page, and how many eventually went on to complete the selected goal (Visitor Completed Goal).

Completion Ratio = # of visitors to the page that completed the goal divided by the total number of visitors. It tells you how many page visitors eventually reached the goal you configured. This key metric indicates the significance of the page in the conversion process.

Read Ratio = Number of reads divided by number of  page views. Read Ratio reflects how engaging and relevant the content is to your readers.

Attribution Score – Please read our article ‘TrenDemon Content Attribution Score’ for more information.


Learn which of your sources works best. Sources indicate referrals, paid campaigns, fastest conversion time, and highest conversion rate. All of this and more can be found in the Insights > Sources section.



The Journey section provides an in-depth look at specific customer website journeys. These can be filtered by source, geography, goal, etc. The journey section shows every user session regardless of the type of device, and all the goals that were reached within those sessions.

What can you learn from the journey section?

By filtering the different variables at the top, you can get a deeper look at the path that users from different sources and geographies follow before converting, and in relation to different goals.


You can also expand every journey to see exactly where a user has traveled and which pages they’ve read. Each row provides data as to how many total pages the user read before converting and how long (in days/hours) the conversion process took: