{"id":6630,"date":"2020-03-02T11:46:09","date_gmt":"2020-03-02T10:46:09","guid":{"rendered":"https:\/\/www.mbi-geodata.com\/en\/?p=6630"},"modified":"2020-04-29T18:13:48","modified_gmt":"2020-04-29T16:13:48","slug":"online-shopping-affinity-index","status":"publish","type":"post","link":"https:\/\/www.mbi-geodata.com\/en\/2020\/03\/02\/online-shopping-affinity-index\/","title":{"rendered":"ONLINE-SHOPPING AFFINITY INDEX"},"content":{"rendered":"
Karlsruhe, March 2nd<\/sup>, 2020<\/strong>: Michael Bauer International GmbH (MBI) created a new product to analyze the online-shopping activity and affinity of an area.<\/strong><\/p>\n Over and above the standard MBI data offering of socio-economic data which enabling the identification of areas with high population or purchasing power, the company has developed an additional product, named Online-Shopping Affinity. The Online-Shopping Affinity is an index, which is currently available for over 80 countries. This can be used to identify target groups with a high affinity for online-shopping and is also perfect for the analysis of digital awareness e.g. car sharing, e-mobility and electronics. Go to the press release and read more…<\/a><\/p>\n<\/p>\n
\nThe data is currently used in many different business applications: in retail e-commerce to identify target groups for online-shopping, in advertising to identify geofencing areas for online shopping, in logistics to optimize delivery networks and streaming services to access market potential for expansion.<\/p>\nshare<\/h3><\/div>