Name Predicting Socioeconomic Levels with Mobile Phone Metadata
Source Telefonica Research
Hyperlink to Source http://link.springer.com/chapter/10.1007%2F978-3-642-22362-4_35
Description This study combines cell phone records with data on Socioeconomic Levels from traditional household surveys. The socioeconomic status of a population or an individual provides an understanding of its access to housing, education, health or basic services like water and electricity. In itself, it is also an indirect indicator of the purchasing power and as such a key element when personalizing the interaction with a customer, especially for marketing campaigns or offers of new products. In this paper we study if the information derived from the aggregated use of cell phone records can be used to identify the socioeconomic levels of a population. The researchers present predictive models constructed with SVMs and Random Forests that use the aggregated behavioral variables of the communication antennas to predict socioeconomic levels. Their results show correct prediction rates of over 80% for an urban population of around 500,000 citizens.
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Lead Institution Telefonica Research
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Info link http://link.springer.com/chapter/10.1007%2F978-3-642-22362-4_35
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Type Research
Potential for reuse High
Open source N/A
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Plug & Play N/A
Outputs compatible with indicators from Official Statistics N/A
Status Pilot
Country use cases
Target Groups
Statistical Institute
Other Government Agencies
Sectors where the innovation can be applied
  • Areas of technological innovation
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  • Areas of management practice innovations
    Use of Alternative Data Sources
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    Non-Official Statistics
    Case Study URL with Public Sector Participation
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    Created On 2014-04-12
    Updated On 2014-04-12
    Status Published
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    Manage consumers
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