Intalytics then asked, Where did these fans come from? (please note that some mobile devices were actually detected on the field – these likely represent a combination of members of the grounds crew and baseball executives, friends and family members of the victorious Cubs, and not infielders anxious to broadcast tweets in real time) (The actual game occurred between 8:00 pm on November 2nd and approximately 12:30 am on November 3rd – we wanted to be sure to include as many fan observations as possible.)
Next, we mapped the massive mobile devices that were detected inside the geofenced area between 6:00 pm on Wednesday, November 2 and 2:00 am on Thursday, November 3, 2016. Intalytics developed a profile of individuals fortunate enough to have attended Game 7 of the 2016 World Series in Cleveland (the deciding game, for all you non-baseball fanatics).įirst, we geofenced (drew a border around) Jacobs Field in Cleveland: Massive mobile data also has the power to provide less analytical (and more “fun”) insights. Quarterly Sales Performance – massive mobile data can help to quantify anticipated quarterly sales performance for retail and restaurant chains ahead of announced earnings results.Cross-Shopping Activity – massive mobile data can quantify the level of cross-shopping that occurs with other brands.Competitor Sales Volumes – massive mobile data can be used to estimate sales volumes for individual competitor locations.In addition to providing consumer insights for clients who do not have access to customer address data, there are many other uses for massive mobile data in the retail and restaurant industries: We have written before about the significant value that massive mobile data (latitude/longitude coordinate data from location-enabled mobile devices) can provide in the development of sales forecasting models.