social media analytics


Baltimore Museum of Art

Baltimore Museum of Art

In 1951, a little Renoir scenario was stolen from Baltimore’s Art Museum. There was no notice of it until it was located on 2012 in an auction house close to be sold by a teacher who had bought it for 7$ on a flea market. At the beginning of 2014 the painting was brought back to the Baltimore Museum of Art. To celebrate its return, the museum organized an exhibition and promoted it on Twitter with two hashtags: #RenoirReturns and #BMAselfie. Our work consisted on analyzing the usage of hashtags with SNA techniques (Social Network Analysis). We gathered all the tweets through Twitter’s API, realized a quantitative analysis, and we analyzed the connections that were created among the people that took part on the tweets.

Costa Brava Tourist Board

Costa Brava KPI

The Costa Brava Tourist Board was in need of a program that could let them optimize the generation of web Analytics and Social Network reports, and at the same time gain some autonomy on its constant update and interpretation. The main key points of the project were: To treat automatically all the data extracted periodically from the different available tools, updating its information and facilitating the access to all the historical data. To introduce the results of the analysis on a clear form using data summaries, own indicators and graphs, applicable for internal control and for the presentation of results to the public or client.


Web analytics and social media

Quantitative and qualitative analysis of the MACBA and Radio web MACBA website statistics. We were also in charge of their social network profiles: Facebook and Twitter. The objective of the project was to analyze the statistics of the museum website, focusing all the attention on some specific sections and other websites of the museum. The results of the reports analysis had a quantitative and qualitative point of view, adapting the analysis and conclusions of the reports to the needs of the MACBA: answering to marketing questions, content strategy, Social Media strategy, knowledge of the on-line target and comparison with the off-line one; analytics comparison and CRM (Customer Relationship Management), etc. The presentation of reports was presented as an internal formation. Moreover, we created some templates so the MACBA website team could create some monthly summary reports and web and social network analytics. During the analysis, we studied: the types of received visits, the homepage, the sitemap, the most visited pages, the bounce rate, the social networks interactions and visits, the mobile visits (splitting tablets and mobile), the newsletter statistics, the radio and others.