What are Insights and how to use them?

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

Content

Understand what is your content attribution. Which killer content is better at converting users and which items have a better read ratio. Basically, everything you need for measuring your content marketing analytics.

 

What can you learn from the Content section?

Here are some relevant KPIs:

Visits & Reached – this metric show how many overall visitors came to the page, and out of them, how many eventually went on to reach the goal (Visitor Reached Goal).

Reach Ratio = # of visitors of the page that reach the goal / total # visitors. It means, how many of the visitors that went through this page, eventually reached the goal you configured. This key metric tells you the significance of the page in the conversion process.

Read Ratio = # of reads / # of  pageviews. What can this figure tell us? 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.

 

Sources 

Learn which of your sources works best if it’s a referral or paid campaign you are running, Which has the fasted conversion time and which has the highest conversion rate. All of this and more can be found in the Insights > Sources section.

 

Journeys

An in-depth look at the specific customer journeys on your site. These can be filtered by source, geography, goal, etc. In each journey, we are presenting multi-sessions, multi goals on multi devices

What can you learn from the Journeys section?

By filtering the different variables at the top, you can get a deeper look as to how users convert from different sources, geographies and in relation to different goals.

 

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