How sad to get only a fraction of the available insights from social media! You can change that by using a new approach that links a range of data related to social posts, thereby generating more information about your followers’ attitudes, behaviors, and experiences.
In this 2018 AudiencexScience presentation, Preriit Souda demonstrated how to use brocade methodology, which stitches together data, meta data, and external data, to uncover multiple brand and consumer attributes. These included brand characteristics, consumer opinions, demographics and location.
Souda identified a new trove of data found in social media posts by asking four questions: what, who, when, and where. Answers surfaced when data, meta data, and external data related to these questions were stitched together, using a technique defined as brocade methodology. He showed three examples to demonstrate how this works.