Preface on TAP
Being an 'Order Platform' focused company, initially , a product's performance at Limetray was judged by the number of orders being placed on it. More orders placed related with the platforms effectiveness, and it's increased benefits to the client. This made absolute sense, since products such as Table Reservation never generated a lot of user engagement, in turn being an "underperforming product" even though crucial for some clients.
With increased cross product dependancy, and heavy usages, we branched out the performance measurements against quantitative establishments that could be generated form the data being logged, these were as follows :
- Payment Failures : How many users' had erroneous payment gateway experiences?
- Conversion Rate : What percentage of website visitors actually ended up placing an order?
- Order Acceptances : Even if a website has orders flowing in, are they being acknowledged by Merchants?
- User Retention : If a new user placed an order. In how much time is he likely to order again in the future?
- Repeat Users : What percentage of a clients customer base repeats? Do they repeat on a daily, weekly or monthly basis?
Data Driven Insight we started with