Everything you need to know about Posts Analysis on Scup

With Scup, you can do a detailed analysis of your posts.

It's easier to analyze posts by you yourself when you understand your audience. Learning what's most successful with your audience will make it so your posts are better and seen and shared more, according to what the audience actually likes or wants to see.

How can this be done though?

When you monitor the results generated by your posts, you can interpret the information provided and create posts that engage the public more.  It seems complicated, but it's not!

Here's an example. Every Monday, you post a motivational phrase on your Fanpage and this post gets 10 likes and 1 share on average. On Friday, you post a photo of a sunset, wishing everyone a good weekend, and it's shared an average of 5 times and gets 20 likes. OK. You simply take note and deduce that the post with a photo reaches more people. Why do this? You'll be able to answer this question yourself after analyzing your posts and figuring out what your audience likes the most.

In order to access Post Analysis, to go the menu, Pages and Profiles > Post Analysis.




You'll only be able to analyze your own posts if you have a connected account. That is, if you wish to analyze the posts on your Fanpage, this Fanpage needs to be connected to Scup. Do this under Configurations > Accounts.

This post better explains how to connect your account and what to do when you need to re-authenticate it.


From here on out, you will be introduced to all of the Post Analysis features on Scup.

 This first portion displays general post information. The meanings of each one are listed below.

This is the avatar of your registered account. It's the same avatar that you use in the social media network indicated in the upper right portion of the photo. In the example above, it's a Facebook account.

Which posts were the biggest hits? This table shows the 5 posts that had the most activity. Activities, any LIKES, COMMENTS or SHARES will be considered when analyzing a Facebook or Google+ page, and Retweets and Favorites when dealing with Twitter pages.


It's important to remember that this information refers to posts from the predetermined time frame set in the date filter on the side (item 6). In this example, out of all posts between 11/20 and 12/5, the ones displayed in this table were the 5 with the most activity on the Fanpage.

When you draw the mouse over the number of activities, the separate activities for each type will be displayed, as in the example below:


In this account filter, you choose which account's posts you want to analyze. Posts can only be analyzed one account at a time. Just select and click Display.

Just like with the other Scup tabs, you can export raw data. Exporting is done using .csv files for opening in Excel.

Average activity in your posts during the time period set in the date filter. In this example, if we sum up the activity from all posts between 11/20 and 12/5, there was an average of 52 instances of activity per post.

The period of time from which you wish to analyze posts. You choose the interval of time. The default time period will always be 15 days.




Performance of posts during this period

In this part, you can analyze the posts that were tagged. On Scup, you can tag your posts in order gauge performance. Here is a tutorial for more information on how to tag your posts  



When you tag your posts, you can get information on what tags yield the best results. Does your audience prefer photos of children or photos of dogs? Do they prefer content with links or with photos? This gauging can be done here, and you can also compare pages that have approximately the same number of fans or that belong to the same market.


Choose either the results based on the average or the total. For example, posts with a photo tag have an average of 20 likes each, but when you sum up all of the likes on posts with photos, you get a total of 300.
The tags used will be shown in a list, from which you can choose which to track comparisons for. Just click the button and select the tag you want.

There are 4 ways that you can compare tags:

  • Posts from this account: The comparison between the two selected tags will be simple in nature.
  • Posts from any of my accounts: This comparison will be based on an average of the results from the accounts that you have registered for monitoring.
  • Pages from the same market: If your company works in Retail, choosing this option will give you a comparison with numbers from other pages in the Retail industry

Pages of the same size: This comparison is done with numbers from pages that have approximately the same number of fans/followers

When you post on Scup, if your post includes a link, you'll have the option to integrate with Google Analytics. In order for this analysis to be possible, you first need to register the Google Analytics account with Scup by going to Configurations > Accounts > Add New Account > Google Analytics



Have a look at this example comparing averages of Likes, Shares, Comments, and Reach of posts with PHOTOS and posts with LINK only. We can derive information such as: Posts from this page had and average of 33 likes each, but when posted with a photo, the average goes up to 37. That is, on average, the post gets 1 more share when there is a photo, extending its reach. When posted with a link, the effect is reversed. We can suppose that posting with links isn't a good idea and that posting with photos improves the exposure and activity of posts.



Activity during the Period

The graphs for activity during the period clearly display which days and times are best to post. This is always based on the period set in the date filter.


The "by weekday" graph shows the day of the week during which posts were most successful. When you set the filter by period, the graph will display an average number of instances of activity on the posts made on that particular day of the week. In the example above, posts on Tuesdays reeled in an average of 72.3 likes. According to the graph, posting on this Fanpage on Tuesdays is a good idea. If we look at the graph, we can see that nothing is posted on this Fanpage during the weekend.   
The "hourly" graph uses the same system of measurement as the "weekday" graph. Looking at the graph from the example, we can see that posts made at around 10am are the ones that attract the most activity on average.  



These graphs are based on the day and time of POSTING, and not the days and times that posts had the most activity.




Comparing pages of the same size and market

This comparison chart shows the differences of results between your Fanpage and other Fanpages of the same size or market

You can choose which metrics you want to see. Likes, Shares, Comments, Retweets and Favorites.
The comparative line graph is traced based on the time it was made the post. In this example above it is clear that My Fanpage don't publish anything around 22h. But Fanpages the same size publish and earn, on average, 180 likes for publications made at this time.




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