Today I share with you a great Spanish social listening tool called Atribus, with which we can monitor mentions in digital media, blogs, forums, websites, etc.… so that active listening allows us to know what is being said about us ( or the brand we work for) in digital environments. In addition, with this tool we can monitor from user accounts to keywords or searches on the main social networks (Facebook, Instagram, Twitter, Reddit YouTube).
ow Atribus This tool monitors based on search keywords that can be generic terms, user names or hashtags. This configuration of the searches allows to differentiate one from the other through categories, to group several of them according to different objectives.
Similarly, different KPIs can be added to searches, such as words that we want to appear in searches (whitelist) or those that we do not want to appear (Blacklist), something that is also applicable to hashtags and usernames.
When we enter the tool this is what we find:
1.- Dashboard: Intuitive and focused on usability
The dashboard is the cover letter either in Monitoring (for keywords Uganda Mobile Database ) or Profiles (for social media profiles). The function of the Dashboard is to group the results of the monitoring according to the collection platforms in a visual way and at a glance:
In the same dashboard we see the total amount of mentions in a certain date range and it is modifiable. Next to the total, it is broken down into the different platforms.
To make it even more visual, in the graph at the bottom left of the screenshot we see how it shows us a total of mentions that have been made per day. This section is very useful to detect trends, being able to see the peaks of mentions.
The graph at the bottom right, analyzes the sentiment of comments on social networks. This tool is capable of analyzing and classifying comments on the web and social networks as positive, negative or neutral. At the same time, it allows you to change the sentiment of the mentions, making the tool learn to identify the sentiment more precisely.
It also geolocates the comments by zones. Mentions by zones appear on the map, also specifying the sentiment. An interesting utility, for example, to detect the sources of a possible communication crisis.
By focusing on keywords, the word cloud and hashtags show which words have appeared the most times in the mentions. Here you can include or exclude words from the cloud. A good example is the one shown in the image, where the word “para”, being a preposition, has been used in the vast majority of mentions although it does not provide us with any useful information. A great function to identify keywords and hashtags for future posts, and thus promote reach.
How Atribus works
Outside the dashboard there is a great variety of functionalities such as ratios, an online reputation crisis detector or a timeline that collects live; very useful to manage an event and see in real time what is being said about it. We also find the geolocation we talked about before, but in a more advanced way.
3.- Most outstanding features
The relationship map is a really interesting function, since it creates a system of links that shows the keywords, hashtags and content that have led to other content and that participate in the conversations. It seems somewhat Brother Cell Phone List complex at first glance but it is simpler than it seems. We can see which users have mentioned a keyword, who they are, what they do (seeing the other keywords with which they link), if they are influencers etc … Let’s imagine that negative content appears and that this becomes a communication crisis due to the Snowball effect, to such an extent that we do not know where the origin comes from, since the relationship map allows us to take a tour of the keywords and content that have emerged.
The ratios show collection data based on the characteristics of the platform.
For example, in the Twitter section you can see the number of tweets with mentions, the retweets, likes, how many tweets with images have been published or the number of users participating in the conversations. Also, in the graph below, we can find the total number of mentions that have been made and in what period they have been made or how they have been received by the audience: if they have been retweeted, the number of unique users who have mentioned and the responses they have generated. To the right is a small graph that classifies users into male, female, and “unspecified” to help detect audience segments. Finally, it allows you to see in which language the mentions were made.
How Atribus works
On the other hand, we can find an analysis of the sentiment, similar to the one we saw in the dashboard at the beginning, but this time only for the platform that we have selected. It will also geolocate the sentiment of said mentions and from where they have been made. In the example of the capture, the vast majority of them are from Spa