  Fooji Inc. is a social media engagement platform that has created a
proprietary "Just-in-time" delivery network to provide prizes to social media
marketing campaign participants in real-time. In this paper, we prove the
efficacy of the "Just-in-time" delivery network through a cluster analysis that
extracts and presents the underlying drivers of campaign engagement.
  We utilize a machine learning methodology with a principal component analysis
to organize Fooji campaigns across these principal components. The arrangement
of data across the principal component space allows us to expose underlying
trends using a $K$-means clustering technique. The most important of these
trends is the demonstration of how the "Just-in-time" delivery network improves
social media engagement.
