Transactional data includes app events that are directly associated with revenue. These revolve around billing and monetary transactions.
Examples:
Order value
Checkout started
MARS collects in-app customer behaviour data in the form of specific app events.
Examples:
Products added
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Products searched
MARS tracks realtime campaign data and changes in customer’s app behaviour during the course of the campaign
Examples:
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No. of users converted
Spend per customer
MARS uses coupon and discount data to get a deeper insight into customers’ spending behaviour and coupon preferences.
Examples:
Discount value
Minimum cart value
All the learning from customer data is supplemented with external data provided by MARS itself to identify patterns associated with environmental changes like weather, traffic, world events etc
Examples:
Traffic
Weather
The MARS API can be used to craft your own customer experiences eg. Personalised social media retargeting ads, physical discount coupons etc
Use Push, SMS, Email to send out MARS recommended discounts to your customers
Create personalised discounts for every user directly reflecting in your app UI
Differential privacy ensures each individual gets roughly the same privacy that would result from having their data removed.
The statistical functions used by MARS in making discount recommendations do not overly depend on any single individual’s data. i.e. MARS’ output is not affected by removal of a user from the data set
MARS doesn't use any PII information in it's reinforcement learning models
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