TARGET GROUPS ON THE INTERNET
You want to find people who use the internet intensively and buy online frequently?
In addition to our standard MBI data offering of socio-economic data, which enables the identification of areas with high population or purchasing power, we have developed an additional product, the MBI Online-Shopping Affinity. The objective was to create a product to analyze the online shopping activity and affinity. Due to the constraints with data protection and the almost endless payment options available globally when making purchases online, it was clear we needed to find an alternative way to identify online-shopping potential of an area. 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. Our studies have found that the Online-Shopping Affinity is also perfect for the analysis of digital awareness, e.g., car sharing, e-mobility and electronics.
A certain geography is assigned an affinity score (i.e., an index based on national averages) for intensity of online-shopping. The index is based on the weighted composition of significant variables (e.g., age, income, household type as well as psychographic and behavioral characteristics).
Globally consistent and comparable data
Strict quality control
Individual consulting and support
100 % GDPR compliant
Europe | North America | South America | Asia | Oceania | Africa
• Postcode Level
• Administrative Area Level
• Small Area Level
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Tab delimited file (TXT) | KML | Access database (MDB) | Excel (xls) | Esri Shapefile (.shp) | Esri Geodatabase (.gdb) | MapInfo (.tab) | MapInfo MIF/MID | more on request
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Easy access to a variety of MBI data
• Datalink Desktop
• Datalink Rest API
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TELL US WHERE YOU ARE HEADING.
WE WILL GLADLY ASSIST YOU IN SELECTING THE DATA NEEDED TO REACH YOUR GOAL.
Didn’t find what you are looking for or have another question? Please do not hesitate to contact us!
Our experts will be happy to advise you individually and without obligation on which data you can use to create added value for your company and realize savings.
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