Chipotle’s Third Party Privacy Policy Systems Assist New Price Setting

Chipotle doesn’t know your salary personally. instead, it estimates customer income levels using “external” demographic and market research data.

From that research, corporate learned that about 60% of its core users live in households earning over 100,000 USD a year, which is an aggregate statistic, not something tied individual app. Because $100k customers eat Chipotle, lower income customers will now share the increase.

Those income figures discovered are said to come from panels, surveys, and AI fueled third‑party data providers that match anonymized purchasing patterns or trade areas.

Read – https://www.ainvest.com/news/chipotle-price-hike-bet-high-income-customers-save-growth-story-2602/

Third Party Party systems known as Data Brokers sell findings to companies looking to better define baseline pricing from customers realities and engagement. Data Brokers combine app‑derived data (location traces, app usage, device identifiers) with public records and commercial data to infer traits such as estimated income bracket, homeowner status, and spending level.

In practice, that means a brand can legally learn customers income without permission due to later agreements from a data provider on other agreed apps, whose models rely in part on app‑collected data and these policy gaps.

Read – https://www.tomkemp.ai/blog/2023/7/5/a-closer-look-at-data-brokers-sources-of-data