[gosub100]

No direct experience, just my guesses

* someone who drives frequently may rank higher for automotive products and services

* use to independently rank other statistics, i.e. someone with kids probably comes and goes more than a single person or non-child-rearing couple. Take the dataset where you know they have kids (and myQ) and see if you can detect the ones with kids using only myQ data (plus other statistics). If it allows you to infer this property accurately enough, profit.

* Someone who comes and goes a lot is most likely not physically disabled, so exclude them from those specific marketing materials.

* someone who is home a lot (hardly ever opens their garage door) might like to spend money on useless gadgets, try selling them IoT toasters

[criddell]

Plus some of their door openers have a camera and microphone. From that they could get a lot more very specific data.