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Insights > Using the compare functionality

Last Updated: Feb 05, 2016 11:10AM EST
In your top menu in the Insights, you find among other options the compare functionality. While its name suggests what it allows you to do, compare your date based on a metric of your choice, this is a feature that can come in useful in a variety of use cases. This is why we decide to give you a bit of background about the compare feature, as well as a few use cases. 

 

 

The Compare Feature explained

 

The compare feature in the top menu lets you compare your data in insights based on metrics you choose yourself. All you need to do is click the compare tab, choose what you want to compare your date on and click apply. 

You can choose from different options, and for each option you can further narrow down which values you wish to include. 

 

Compare options.

 


 

 

The different compare options are the following:

 

  • (Empty) - This is what you will select if you have used a compare action and want to return to the default insights without any comparison.
     
  • Topic - Clicking this will allow you to compare your data over your different topics
     
  • Message metrics
    • Language - This will allow you to compare your collected mentions based on the language they were written in. 
    • Sentiment - This will compare your results based on the sentiment of your mentions. 
    • Type - This will show you the different post types (posts, retweets, comments, likes..) that make up your data set. 
    • Hashtag - This is what you need to choose if you would like to compare your data based on hashtags used in your collected mentions. 
    • Tag - This option will allow you to generate some insights on your used tags. 
       
  • Source metrics
    • Source - If you would like to see where your date comes from, you can use this option. You will then see your insights split up in social, news, blogs, forums, wikis etc. 
    • Source Details - If you would like to know more precise where your data originates from, this option will help you out. The data will then be split up in all sources' subcategories. This is the way to go if you want to compare twitter against facebook for instance, since both are subcategories of the source 'social'. 
    • Domain - This will show you the different domains in your dataset. Each websites has its own domain, so if you would like to compare some news sites for examples, this will help you out. 
    • Profile - This compares your data over the different social profiles you have connected to your account. 
       
  • Location metrics
    • Continent - This will allow you to base your comparison on the different continents.  
    • Country - This will show you from which countries your data set originates.
    • Region - If you would like to see more region specific where your the mentions in your data set come from, this is the way to go. (Currently this is only available for the US.)
    • City - If you want to see which cities are represented in your data set, this option will help you out. 
       
  • Advanced - This lets you build your own (more complex) compare values. In this case I've combined country values with source values. If you would require extra values, click the 'add' button without changing the dropdown. if you would like to use a saved filter as one of your values, you can select it from that same dropdown. 

 















 

 

Compare option values.


You'll find that for each option, you get prefilled values:


 
  • For your convenience, these values can be sorted either by volume or alphabetically.
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  • By default, all values are selected but you can choose how many you wish to include in your comparison. The 'select all' box lets you quickly (de)select all values. The amount of selected values will appear next to the chosen option in the compare tab once you have clicked 'apply' to confirm your choice. 
     
  • For each option, you will always find a maximum of 20 values. These are the top 20 most reoccurring values for the chosen compare option in your data set.

Note I: For tags, this will be the top 100 most used tags. 

Note II: If you would like other values than the (top) ones presented, you can use your filter to rule out some values and change the top. Eg. Filltering on 'country is not United States' in the example here, will leave out all US cities, and the list will be completed with other cities. 












 

For technical reasons, the compare function will only have a visible effect on the overview tab of your Insights. 
 

Some Compare use cases

 

Apart from adding some extra colours to your insights and giving you something to play around with, the compare function can also answer some questions for you. 


How do I know which of my topics takes up the most of my volume? 

 

What you want:

You're curious which topics are consuming the most of your mention volume. Knowing these topics will allow you to check if they need to be narrowed down to avoid any spam, to evaluate if you need all mentions that these topics collect and have an overall better idea of how your mentions volume is spread. 

Steps:

 

  1. Go to Insights > Overview.
  2. In 'Topic', select all your topics. Click 'apply'. (note: there's a maximum of 20 topics to select at a time)
  3. In 'Compare', choose to compare your data based on 'topic'. By default, all topic values will be selected. Leave this as it is and click 'apply' to confirm. 
  4. Set the Date Range to the desired period. Currently, volume is calculated monthly so it's a good idea to compare this over a month as well. 
  5. If you like, click 'Show all' to see all values instead of top 4.

 

Result:

The overview chart will now show you the amount of mentions collected per topics, and you'll see in a blink of an eye which topic generated the most volume. 


How can I evaluate what people are saying where about a hashtag campaign?


What you want:

If you're running a hashtag campaign (or more in general, your brand), you can of course evaluate your campaign by checking what people are saying about this. It can be even more interesting to see if there are big differences in what people are saying where, when the campaign is a global one. This info can be valuable for future campaigns, or for when you plan on running a regional campaign. 


Steps: 
 

  1. Go to Insights > Overview
  2. In 'Topic', select all the topic(s) that hold(s) your campaign.
  3. In 'Compare', choose to compare your data based on 'country'. By default, all countries present in your data set will be selected. Choose only the ones relevant for your campaign. 
  4. In the Filter, filter based on the hashtag you're using for your campaign. 
  5. Set the Date Range to the desired period.
  6. Once everything is set, scroll down the page to the 'trends' section and change it to 'word cloud'
Result:

You'l find that the words in the word cloud have the same color as the country they were used in most. Hovering over the words will show you the amount of times they showed up in the country. 
 




 

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