As Cake, we would like to be able to generate one-off rewards to award specific users.

If for example a user provides either great idea or lot of valuable feedback, we might share her/him a one off reward.

As Cake, we would like to (automagically) generate our data dividend on a monthly basis. Our users will receive this dividend in their Cake app, and on their existing bank account.

Note (from Cake): Every month, we share 50% of our data-analysis revenue with our active Cake users. This is our data dividend.

As a partner I can now set a Min. Transaction Value for a campaign. For example; Only give a Reward to Users who paid at least €10 at my shop.

But I also want to set a Maximum Transaction Value. For example; Only give a reward to Users who paid less than € 200 at my brand. This to exclude users who bought a smartphone at my Brand.

I would like to set a (multilingual) message for a campaign to tell the user a little bit more about the offer, or the company issuing the offer. For example: who are we, what are our company values and what's special about this offer.

I would like to set a custom description for a campaign. This description will be displayed in the Cake app (on the offer details screen). The description will have to be provided in the languages supported by the Cake app.

Note (from Cake): If the description for a particular language is not available, this description will not be displayed in the Cake app.

I would like to define a specific housing situation as target audience for a campaign; for example target people who rent or own a house.

I want to see the results and details of a customer insights campaign in my campaign overview together with my acquisition campaigns.

I would like to define a location of a transaction as target audience for a campaign. province or even a city.

This includes specifying a location (country, region, province or city) combined with the period in which the transaction occurred (recent days, weeks, or months).

A transaction location as target audience could for example target all users who shopped in Hasselt in the last three month.

I would like to define a user location as target audience for a campaign; for example target all people who live, work or frequently visit Hasselt.

This includes specifying a location (country, region, province or city).

When I log into Cake for Business, I want to easily spot what's new, show me where to look for recent updates of the dashboards.
If I log in the first time, give me a very short tutorial or steps to follow to get to know the platform.

Additionally, show me some graph about all Cake Business customers' revenue earning by acquisition campaigns, show me my own if I have any running etc. just something interesting to follow up on every day on the homepage

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 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 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.

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.

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.

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.

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.