The Posts section in Analytics helps you to discover how well different pieces of content are working in your employees’ networks. The posts analytics will present you all the tractions associated with content that has been created during a certain time frame. In the basic view you can see
- Titles of the posts
- Dates on which the posts are created on Smarp
- Performance metrics (shares, clicks, reactions and reach)
You can sort the posts by clicking the headers of different statistics to get them in the order you want. In the screenshot below, we have sorted the posts based on clicks within the selected time frame. In addition, you are able to see more detailed information about Shares & Clicks and Social Reactions.
Please note that the original publishing dates (the date on which a post is created on Smarp) of posts will not decide which posts you will see here.
For example: if your chosen timeframe of analysis is between 1st of February and 28th of February, you will see all the tractions that any post generated and all the posts that were published during this time. Even if one piece of content was published 15th of January (which is outside the 1 Feb - 28 Feb range), if it has been still shared during February, the content will be shown in the results. In addition, even if the post shown below was originally published on Smarp 23rd of August, because it has still generated 5 clicks during January 2017 and therefore it showed up in the Post Analytics page.
If you want to dive deeper into the numbers of one individual post, you can click the title of the post to find out more. For example if you are wondering who have shared a specific post, you will find the answer in the drop down.
Shares & Clicks tab will illustrate which portion of the shares and clicks are generated from individual networks. You can use this feature to see what posts are attracting most clicks from Twitter for example. In the screenshot below, we have sorted the content to illustrate this.
Social Reactions, on the other hand, will list different kind of reactions which your content has provoked in different networks.
If you want to find out which of the posts have gone viral, you can for example see which post has generated most retweets. Or if you want to know which content has led to the most discussion, you can sort the content using Facebook or LinkedIn comments.