So this looks broad enough that it should apply to online retailers like Amazon also.

For all the analysis of data gleaned from a customer's purchase history and shipping patterns at grocery stores, I wonder what they can devine from the absence of assignable customer data, where a customer enters with phone in airplane mode and radios off, uses a loyalty card paused to fictitious data recycled semi-annually, and pays in cash only-ever, and cycles between various grocery stores so there's less of a rigid purchase pattern across store receipts. Lost/discarded background noise, or the data void that reveals itself.

> It does not, however, apply to loyalty programs or other discounts.

I think they should go after this stuff.

many stores charge a lot for just about everything in the store, discounting an appreciable amount for loyalty programs. Which are just data grabs.

The first chapter of Why We Buy is in trouble now..

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