Data Privacy

McDonald’s App Customer Data: When Records Become Predictions

WIRED’s McDonald’s disclosure shows that customer records can include predictions about future visits, spending, behavior, and attrition—raising a key governance question: where are those predictions used?

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TL;DR:
McDonald’s app customer data can include more than transaction history. WIRED’s disclosure shows predictive customer attributes, while the key unanswered question is how those predictions are used downstream.

What you need to know

The change: A McDonald’s customer-data disclosure obtained by WIRED contained transaction and loyalty history as well as predictions about future visits and spending and other derived customer attributes. (wired.com)
Who is affected: Privacy and compliance teams, AI and data-governance leaders, and commercial teams responsible for systems that create or use customer profiles.
Why it matters: Knowing what data an organization collects does not necessarily tell you what its systems derive from that information.
What to do first: Separate raw customer information from derived scores, classifications, and predictions, then identify where those derived attributes are used.
Key date or trigger: August 19, 2026, when the FTC issued its proposed enforcement policy statement on personalized pricing. (ftc.gov)

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