Understanding population level money flows around a city has significant potential to drive both policy implications and economic activity. An example of the former is the detection of vulnerable sub-populations while an example of the latter is its use in market intelligence for things such as retail store location. Typically not available, or available only to a limited degree by survey, this project aims to (1) develop methods for deriving population level money flows from incidentally collected mobile money payments (both consumer and overall), (2) join this with mobility information from concurrently running projects to develop a standalone geo-demographic data product and (3) highlight its utility in the use case of retail store location planning. Repurposing mobile money data from a leading provider within an African city the project first considered the task of identifying informal sellers as these need to be filtered out when considering consumer money flows and/or explicitly taken into consideration when considering economic activity measurements and indicators. The work was recently presented and is currently been incorporated with mobility geo-demographic data evaluating the approach to generate data through its measurable ability to aid store location planning.