Stays & Travels Metrics
propella.ai leverages de-identified mobile event data ("events") that are geo-coded (given position co-ordinates and a timestamp), aggregated up into weekly data batches by our data provider, and ingested into our Data Lake to power some of our geo-spatial analytics.
To help us make better sense of the "sea of mobile device events" that we receive (billions of "pings"), propella.ai has developed a proprietary 'Stays algorithm' which classifies each mobile event into either a 'travel' or a 'stay'.
A geo-coded event where a single mobile device is determined to be stationary (or close to) for a period of one minute or longer. A 'stay' event will be made up of multiple mobile events, where these "pings" all occur within a specific location over a period of time. Stays data is used to inform us about where users/visitors to the geo-fenced study area are stopping ("staying"), which are typically places that people are going to for some intention or purposes (e.g. the picnic area of a park, the public transport stop within a retail precinct).