I suspect it's really difficult to an exhaustive analysis required to see the full implications. It's easy to say 'this shop has seen foot count fall and when w

I suspect it's really difficult to an exhaustive analysis required to see the full implications. It's easy to say 'this shop has seen foot count fall and when we interview people this is why they say they come less' (though with all of the problems such surveys entail), but it's less easy to see the magnitudes involved in the full pipeline - e.g. delivery workers who now deliver to customers instead of shops. It ends up being more productive to look at much broader economic data, but that allows you less ability to drill into the specifics because you are looking at a much larger population, and have less ability to derive why something occurred.