oh the data is there, and really GOOD data mining knows exactly who we are and what we're spending on what and likely where the money comes from (probably the data profiles QFF has on us internally probably would surprise I suppose). Increasing use of AI in data mining would also have its place too I guess. Figuring out if family travel, or if patterns of travel do not match others (eg if the business spend is mostly to SYD, BNE and say SIN, but a booking is made to say YVR to go skiing, that could be a more nuanced point that may or may not be picked up. After all YVR could just as easily be a conference or new client....) And still, if booking with family - could also be members of the family business and/or employed by the same company (I've been at a few places where nepotism rates were high!)
it's all very nuanced of course. I do wonder if this is a differentiation (in terms of figuring out self funded flyers) that they actually would care about?
