I want to see and compare the spending behavior by life stages of people. For example: studying, first job, moving out of parents’ house, pregnancy, first kid, etc.

Note (from Cake): These averages are based on anonymized data. The reports are only generated when a minimum set of data is available. This ensures that there is no possibility to backtrack the identity of individual users.

I want to look for brands that have a large set of similar customers.

Note (from Cake): These averages are based on anonymized data. The reports are only generated when a minimum set of data is available. This ensures that there is no possibility to backtrack the identity of individual users.

I want to see and compare the spending behavior of people with and without kids; including the amount of kids and their ages.

Note (from Cake): These averages are based on anonymized data, and only calculated when a minimum set of data is available. This ensures that there is no possibility to backtrack the identity of individual users.

I want to see and compare the spending behavior of people in different housing situations; including renting or owning a place.

Note (from Cake): These averages are based on anonymized data. The reports are only generated when a minimum set of data is available. This ensures that there is no possibility to backtrack the identity of individual users.

I want to see and compare the spending behavior of specific user profiles; for example shopaholics, frequent restaurant visitor, sportive, movie visitor, technology lover, online shopper, and many more

Note (from Cake): These averages are based on anonymized data. The reports are only generated when a minimum set of data is available. This ensures that there is no possibility to backtrack the identity of individual users.

I want to analyse the results of my survey. The report includes the demographics of the respondents; including how much they are spending on average at my own brand and at competitors.

Note (from Cake): These averages are based on anonymized data, and only calculated when a minimum set of data is available. This ensures that there is no possibility to backtrack the identity of individual users.