There’s no such thing as “one size fits all” when it comes to multi-channel publishing. To optimize the effectiveness of content, it’s important to assess metrics on a channel-by-channel basis.
Social analytics provides details on each social network to which content has been published. It includes details on each post, including timestamp, social profile, user information (i.e., which user scheduled the post) and the number of page views resulting from the social post. Social engagement analytics are captured, such as retweets, likes and replies on Twitter.
How are users engaging with content on a particular channel? Metrics, such as dwell time, scroll depth and clicks, can help marketers understand how well content is resonating. Based on these metrics, marketers can optimize the effectiveness of content for the particular channel.
In a headless CMS model, each application using the REST API is called an endpoint. Multi-channel analytics can reveal the identity of each endpoint, along with key metrics from that endpoint. This helps marketers understand engagement in the mobile app, compared to that of a website embed.