Track Channel Engagement on User's Posts

Updated 

The Channel Engagement widgets give an overview of the performance of the content that is shared by the user on their social channels.  

These widgets can help admins realize the amplified native engagement they are receiving on their brand campaigns by using Advocacy. These widgets can also help admins find the users who are most influential and are bringing more engagement on their brand campaigns.  

Limitations

Engagement on the channel dashboard shows how the posts published on the social channels are performing. However, this data is captured from each channel separately and for some channels, there are some API limitations that restrict Sprinklr from getting engagement data on those channels  

Channels on which NO engagement data can be captured

  • Facebook Profile  

  • Instagram Profile  

  • TikTok  

There are some minor limitations on other channels as well. For example:  

LinkedIn – Number of Reshares done on user's posts are NOT captured  

Twitter – Number of comments (quotes) are NOT captured  

How to configure Channel Engagement widgets 

  1. The most basic aggregate metrics like Total Likes on Channel, Total Comments on Channel, Total Shares on Channel etc. give an aggregated view of the channel engagement metrics. 
    The Reach on Channel provided by Sprinklr is estimated. 

  2. Use the ‘Social Network’ dimension to separate the data between different social channels. (LI and X) 

  3. We can use the Actual Post dimension to understand how the original posts published by content curators are performing in terms of the channel engagement they are receiving. This can help content curators understand the aggregated engagement numbers they are receiving from all the shares users have done on their posts.

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  4. We can also use the Shared Post or Actual Post on Channel dimension to get the same data on user's post level. With this, admins can see the actual post published by users on their social accounts and see the corresponding channel engagement metrics like Likes, Comments, Retweets, etc. This can help admins find the users publishing the most influential users and see their corresponding posts in the reporting widget itself.

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