{"id":17615,"date":"2019-08-27T10:48:09","date_gmt":"2019-08-27T08:48:09","guid":{"rendered":"https:\/\/selectivv.com\/?p=17615"},"modified":"2022-02-14T14:39:24","modified_gmt":"2022-02-14T13:39:24","slug":"analiza-strefy-wplywow-selectivvviewer-catchmentarea","status":"publish","type":"post","link":"https:\/\/selectivv.com\/en\/analysis-zone-influence-selectivv-viewer-catchment-area\/","title":{"rendered":"Accessible influence zone expansion | #SelectivvViewer2.0 vs. Catchment area"},"content":{"rendered":"
This post is a part of an ongoing series about launching Selectivv SaaS solution Viewer 2.0\n Catchment area<\/em> is an influence zone of a particular product, store, service etc. <\/strong>Basically, it means area, from which it attracts a population that uses its services, offers etc. When it comes to physical facility location, catchment area<\/em> can be defined based upon a number of factors including distance to the store location, actual travel time, geographic boundaries or population within the catchment.<\/p>\n\n\n\n\n\n\n\n On measuring and analyzing catchment area based on mobile data and proprietary solutions we wrote by the occasion of Galeria M\u0142ociny opening<\/strong> (research on its influence on others shopping malls in the capital<\/a>) or the Congress of Market and Opinion Researchers in Warsaw <\/strong>(research on inhabitants of Krzyki district in Wroc\u0142aw<\/a>).<\/p>\n\n\n\n The analysis of the zone of influence continues to be determined from the methods based on customer research to theoretical mathematical models and techniques using elements of GIS. Also, the implementation of the particular solution depends on the context and audience we would like to analyze. The most common ways to determine catchment area are different kinds of customer surveys - eg. collecting postcodes or addresses (eg. based on loyalty programs) while check-out. In the first case we should remember about the range: one zip code - sometimes covers several streets in large cities, in other cases it might be a few small towns. The interesting procedure of simple data collection, with some problems it causes, for analyzing catchment area is described here<\/a>. Loyalty programs demand user registration. Another interesting method is a license plate recognition system - for consideration to shopping malls rather than particular stores. Other suitable methods are based on analyzing existing infrastructure and transport options, distance, and travel time. There are even more advanced solutions including combination of survey, location parameters, customer demography\u2026\u00a0<\/strong><\/p>\n\n\n\n Mentioned solutions have been processed for a very long time. They have been tested on many examples and yes, sometimes they are enough. According to technology development they seemed to be too time and money consuming nowadays.<\/strong> Why to ask user where he comes from?\u00a0 To be very precise we need not only zip code, which covers different area, but also address (street and building number) - not so easy to get from the user. Loyalty program covers only customers who will approve it and make purchase. Basically, we cannot determine users\u2019 working and home zones. Anyway - we are still unable to analyze if they visit our competition\u2026 When it comes to methods based on location, distance and travel time - it\u2019s based on location, distance and travel time not on user, his interests and behaviour.<\/strong> Last but not least, time & effort to get & process the data are more significant in this case.\u00a0<\/p>\n\n\n\n
Go to Selectivv Viewer dedicated website<\/a><\/p>\n\n\n\n
<\/figure>\n\n\n\nHow has it been measured?<\/h2>\n\n\n\n
...but is it enough? <\/h2>\n\n\n\n
Selectivv Viewer 2.0 vs. catchment area<\/h2>\n\n\n\n