Feature Request

The customer would like to request support for exposing the article category hierarchy in a reliable data layer. At the moment, the breadcrumb is removed in smaller breakpoints, and the hierarchy is not available through any metadata object. This makes it difficult to use GTM and analytics tools effectively. Adding this support will help teams capture accurate reporting and tracking information.

On the Portal, provide an option to filter Articles and Reader Analytics by reader's domain so we can filter out internal users. This will provide better insights on customer's activity on the Site.

When I send an article to employees I want them to confirm they read it/know who read it.

For non contributors in a team, need to know who has read or has not read a document.

Please add Followers visibility to All Articles. It is quite cumbersome to only be able to view these analytics from an individual article displayed in the Editor.

Request the ability to see how many readers (and which readers) are following an article

This request is created on behalf of Sean We would like to have an option to filter the 'All Articles' data based on E-mail address and Domain. We would like to know how many external readers accessed the site(Their views and reads), if we have an option to filter the data by e-mail address and domain, it would be helpful. Thank you.

We display article analytics in "Analytics" section and also inside the "article settings" for individual article. In the analytics > Articles section - we have default filter as "Last week" , "Last month", "Custom date". In the individual article analytics section - the data we display is for last 30 days. When customer is trying to check and match these analytics, it is causing them confusion as we don't have the "Last 30 days" in the analytics section. It would be better if we could display any one of the available filter data from the analytics section and show it in individual article analytics.

Currently, in Analytics → Eddy AI Analytics, the report displays reader information inside the portal. However, when exporting the data (CSV/XLS), the user email column does not appear in the downloaded file. The customer is requesting that the exported file include the same user-level details seen in the portal.

Add analytics that shows how often users share/PDF/print a specific article.