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  1. I want to see how the spending behavior differs between geographical regions (country, region, province and city).

    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.

    3 votes

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  2. I want to see how the spending behavior differs between distinct income groups.

    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.

    3 votes

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  3. I want to see my market share. I also want to compare my market share with 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.

    3 votes

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  4. 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.

    2 votes

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    Planned  ·  0 comments  ·  Reports  ·  Admin →
  5. 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.

    2 votes

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  6. 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.

    2 votes

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    Planned  ·  0 comments  ·  Reports  ·  Admin →
  7. 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.

    1 vote

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  8. 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.

    1 vote

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  9. I want to see my share of wallet. I also want to compare my share of wallet with 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.

    1 vote

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  10. I want to see the spending averages of my customers (weekly, daily and monthly spending) grouped by a sets of demographics; for example average spending by age, average spending by location, etc.

    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.

    1 vote

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    Implemented  ·  0 comments  ·  Reports  ·  Admin →
  11. I want to see the spending averages of my customers (weekly, daily and monthly spending).

    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.

    1 vote

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    Implemented  ·  0 comments  ·  Reports  ·  Admin →
  12. I want to compare average customer to the brand of a competitor; for example
    * what is the market share in all age groups is
    * which days are most popular

    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.

    1 vote

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    Implemented  ·  0 comments  ·  Reports  ·  Admin →
  13. I want to compare the average transaction value, total monthly amount and monthly number of transactions between me and my 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.

    1 vote

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    Implemented  ·  0 comments  ·  Reports  ·  Admin →
  14. I would like to compare all brands in a specific category; comparing average transaction value, monthly transactions per user, monthly amount per user and the overall market penetration.

    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.

    1 vote

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  15. I would like to see the average category spending by age group; including the evolution of this category spending.

    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.

    1 vote

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    Implemented  ·  0 comments  ·  Reports  ·  Admin →
  16. I would like to see the average spending by brand (on a weekly, monthly or yearly basis). The report includes the average transactions, total amounts and average transaction value, across all Cake users.

    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.

    1 vote

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    Implemented  ·  0 comments  ·  Reports  ·  Admin →
  17. 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.

    0 votes

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  18. I want to compare the average transaction value, total monthly amount and monthly number of transactions between me and my 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.

    0 votes

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  19. I would like to see the frequency and monetary value over all Cake users for a specific category (on a weekly or monthly basis).

    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.

    0 votes

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  20. I would like to see the evolution of the average spending amount for a specific category (on a weekly or monthly basis).

    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.

    0 votes

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    Implemented  ·  0 comments  ·  Reports  ·  Admin →
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