Determine statistically whether new product cannibalise old product by using data Assume that $A$ is a cab company which offers online cab booking through their standard account.

Recently, the company launched a pre-paid premium account with features such as discounted rides,special offers, guaranteed pick up and low waiting time.

A survey is conducted to public and it shows that the response to the new premium account is encouraging. 


  Question: Does the encouraging response stem from new customers or existing customers?


We are given a data consisting of time (booking is placed), pick-up and drop-off location, journey fees, ride type (premium or standard), customer demographic and pricing information.

I am totally lost here. What can we do to answer the question above? Any hint is appreciated.



If I were asked to determine whether customers have any fixed budget to transport, how can I solve it using data above?

My plan is to split the spending into monthly sales, then calculate their means. Let's say we have $12$ sample means and sample variances.
Since the sample variances might not be equal, I employ Welch ANOVA test.
Is this sufficient?
You do not have the data to directly answer the question if a ride for a given service is new customer or old customer. You need to have a customer id to properly attribute if there is new growth or just service switching. 

Any statistics you run will, at best, show a correlation between new service and increased revenue. There can be no causation attributed. For example, the changes could be due to seasonal differences or other factors unrelated to the new service.