Today, with opportunities to invest in sponsored posts on Facebook, the need arises for some companies to perform monitoring of a particular isolated post, making data analysis much easier and more accurate.
How can I monitor a single post and analyze all classification metrics with Scup?
There are two ways to perform this kind of monitoring and analysis for a single post:
1 - Create a specific search for a post on Scup.
Requirements: This search should be created in a separate monitoring entry if the monitoring that is being used contains a search for the same wall where the post was made.
Benefits: The data can be directly analyzed through Scup, including tagging and polarity analysis. You can also generate reports with charts, for specific periods, directly through Scup, in other words, everything that a "normal" Scup search allows you to do.
2 - Manually create a report in Excel.
Process: If you already have a search for the wall where the post was made, in the mentions tab, filter the search for the wall and for the period of the post.
Next, export the items by clicking on the export button, as in the example below.
This export must contain the "permalink" field. You only need to leave the field selected, as in the example below.
In the excel spreadsheet (CSV), you will need to filter the items in the "permalink" column. This is easy to do, simply copy the part of the link that contains only the fanpage ID and the post ID (without the comments or answers ID). See the example below.
After filtering the worksheet in the permalink column in Excel, you will see only items (comments and replies) for the post. As in the example below.
The spreadsheet will include all the data you selected before exporting the file. This data will be in the same row as the respective items, separated in columns.
The great challenge in this task is to identify the IDs within the link and associate them with the post you intend to monitor, since when you access the post on Facebook it shows another link, a kind of "masked link". See the example below:
Link to a comment in the post as it appears in the exported spreadsheet: www.facebook.com/169103046454071/posts/810383618992674?comment_id=811498165547886&offset=0
The link I used to access and identify the post in the browser and then filter the worksheet (without the comment ID): www.facebook.com/169103046454071/posts/810383618992674
Link available when the post is accessed via Facebook: https://www.facebook.com/photo.php?fbid=810383588992677&set=a.224325547598487.61101.169103046454071&type=1&theater
In conclusion: After filtering the data in Scup, export them, identify the permanent links (permalinks) for the post and filter them in the excel spreadsheet. All data will be segmented and ready to create charts and reports according to your preferences.