AUDIENCE ANALYSIS FOR AB INBEV

 

More than 6 million VKontakte profiles were analyzed to figure out what the company’s target audience is. For a better understanding of the potential customer, we studied personal priorities, their sources of inspiration, the important things in their lives and their views on alcohol and smoking. We also identified opinion leaders, social groups, and HORECA companies that could be used for promotional purposes.

AUDIENCE ANALYSIS OF THE VK BAN IN UKRAINE

 

We analyzed the age and gender of users before and after the VK ban, the distribution of users’ friends, and their subscriptions to various groups. (See p. 38-58 of the research).

AUDIENCE ANALYSIS OF SOCIAL MEDIA IN THE BALTIC STATES

 

More than 5 million profiles of Russian-speaking users were studied. We analyzed the distribution of users by age and gender, cities and regions, number of friends and group membership. You can read the full report in this NATO StratCom publication.

 

CLUSTERING ALGORITHM TO IDENTIFY TOPICS AND USER TYPES IN SOCIAL MEDIA POSTS

 

In research into the effects of banning VKontakte in Ukraine, we used clustering in our analysis of post topics. This helped us conclude that ‘Pro-Russian propaganda’ notably increased while the share of ‘Ukrainian news’ decreased.
In NATO StratCom research on the virtual Russian world of the Baltics, we analyzed more than 92 million posts and millions of user profiles. Based on a cluster analysis of user profiles, it was possible to identify four types of ideological users: Writers, Distributors, Readers, and Members of the Active Reserve. As a result, we managed to study them more accurately.

In research conducted with Internews Ukraine on the Ukrainian presidential elections, our script determined 152 topic clusters in more than 9K texts. Thanks to clustering analysis, we identified 40 users who exhibited strange activity on VKontakte and appeared to be social bots.

benefits audience analysis