Welcome to the Ezoic Help Center! In this article, we'll delve into the process of how Ezoic pulls information for Article Content Reports within Big Data Analytics. Understanding this procedure is crucial for publishers who wish to gain valuable insights into their content based on different variables such as Author Name, Published Date, Category, and Content Age. By the end of this article, you will have a clear understanding of where and how Ezoic gathers this data utilizing industry standards like JSON-LD and the Open Graph protocol. This article is designed to provide you with detailed information, making it easier to effectively use these metrics to optimize your content strategy.

Big Data Analytics allows you to gain unique insights into your content by analyzing various metrics based on Author Name, Published Date, Category, and Content Age. Some of the key metrics include Engagement Rate and Bounce Rate. To find these reports, log in to your Ezoic Dashboard and navigate to 'Analytics'. Once inside Big Data Analytics, go to the 'Content' tab where you'll find 'Author Metrics', 'Published Date', and 'Categories'.

Author Data Collection

Ezoic gathers author data primarily through JSON-LD, which is an industry standard.

JSON-LD tags help in structuring data in a way that can be easily read and understood by various platforms.

For instance, an Article ld+json script tag

or

 a Blog Post ld+json script tag can be used to specify the author.

These tags may list the author as a string (e.g., "author": "Patrick Coombe") or provide an author object with attributes such as "name".

If JSON-LD is unavailable, other meta tags and HTML structures are utilized, including The Open Graph protocol.

Author meta tag:

Author Sailthru metatags (Personalization Engine Meta Tags):

The Author hyperlink rel="author" can indicate the author by pointing to a link with the author's name.

 Reports can also be generated using usernames, although these can sometimes include full URLs.

Here is an example of a Profile username from Open Graph:

Published Date Data Collection

For gathering published date metadata, JSON-LD is also the primary method. If JSON-LD is not available, The Open Graph protocol is used. This protocol allows the use of meta tags to specify the published date of an article.

Examples include using Open Graph for article publish_time

Published date can be found using meta tag date, for example:

Or:

Here is an example from Sailthru for metatags:  Personalization Engine Meta Tags

Category Data Collection

Category metadata can also be gathered using JSON-LD, with The Open Graph protocol serving as a secondary method. This involves using tags that specify the category of the article. Examples include the Open Graph article section tag

 or specific meta tags designed to identify categories.

In summary, Big Data Analytics leverages standardized metadata formats like JSON-LD and The Open Graph protocol to collect and analyze data on authors, published dates, and categories, providing valuable insights into content performance.

1. Regularly Review Your Meta Tags: Ensure that your website's meta tags, including author, published date, and categories, are up-to-date and accurately reflect your content. This will improve the accuracy of the data gathered by Big Data Analytics.

2. Verify Author Information: Confirm that the author information is correct and structured properly. Check both string formats and object elements in JSON-LD to ensure they are correctly filled out.

3. Regularly Monitor Analytics: Frequently check your Ezoic Dashboard and Big Data Analytics reports to track engagement rates, bounce rates, and other key metrics. This will help you identify trends and make data-driven decisions.