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I requested a copy of my data from McDonald’s loyalty program

摘要

作者以加州居民身份行使数据访问权，从麦当劳获取 515 页个人数据档案，内容包括未来六周预计到店次数（2.16 次）、平均消费（$13.49）、总消费（$29.15）、客户流失概率（0）、最常购买商品（大杯健怡可乐）等预测。文章展示了麦当劳如何通过 App 记录每次交易、扫描码和积分，并用算法预测消费行为，同时引述多位隐私专家观点，指出此类数据收集在美国大型企业忠诚度计划中属常见做法，但存在消费者与公司间的权力不对等。作者最终请求删除全部数据，并决定停止光顾以证明算法预测并非不可违背。

荐读理由

这篇一手记录展示了麦当劳如何用忠诚度计划数据做预测性营销，把日常消费行为变成精准的消费预测档案，能帮你直观理解商业监控在真实产品中的落地形态。

原文

Gear

Aug 12, 2026 6:15 AM

McDonald’s Built a 515-Page Dossier on Me. It Says I’ll Never Stop Eating There

I requested a copy of my data from McDonald’s loyalty program and received an extensive, personalized report that algorithmically predicts my next purchase.

Photo-Illustration: Wired Staff; Getty Images

When I first downloaded the McDonald’s app years ago, I signed up for its loyalty program hoping to get better deals. Why not get some cheap french fries? While I understood that this would entail some type of data tracking, I didn’t grasp how the information would be used to algorithmically predict my next purchase.

As a California resident, I have the legal right to access the data a company stores about me. So, I decided to request that information from McDonald’s to better understand what one of the major fast-food companies is collecting about its customers. A few days after I visited the McDonald’s Privacy Rights Center site and requested access, I received a 515-page file in my inbox with the iconic golden arches stamped across the top.

“McDonald’s secret sauce is really commercial surveillance,” says Jeff Chester, executive director at the Center for Digital Democracy, a group that advocates for consumer protections. Privacy experts I spoke with said this level of detail may feel invasive, but it's fairly standard for how large companies in the US run their loyalty programs.

“This report contains specific pieces of personal information about you that were identified by searching McDonald’s systems which contain information about our customers,” read the report’s intro. It was lengthy and difficult to parse, so I used a generative AI tool to extract key information before verifying details with the original document and reaching out to privacy experts.

What McDonald’s Calls It	What My Data Says	What That Means
Estimated Number of Visits During the Next 6 Weeks	2.16	How many times McDonald’s expects me to return before mid-September.
Estimated Average Order Spend During the Next 6 Weeks	$13.49	What McDonald’s expects me to spend per order.
Estimated Total Spend During the Next 6 Weeks	$29.15	My total predicted value to McDonald's, over those six weeks.
Customer Attrition Likelihood	0	Potential odds I'll stop being a customer. Ouch!
Customer Group Based on Historical Transactions	CV2	McDonald’s doesn’t provide details about what this internal value tier means.
Most Transacted Occasion Type	Food-Led Afternoon Snack; On the Go Lunch in a Rush	My two behavioral archetypes based on past orders.
Most Visited Geographic Location	San Francisco, Santa Barbara (61 visits)	The main market where I eat McDonald’s and how often.
Recency, Frequency, Monetary Derived Top Product	Large Diet Coke	The item McDonald’s recommendation math ranks as my number one.
Recency, Frequency, Monetary Derived Top Product Category	Wraps–Chicken	The menu section McDonald's expects me to order from.

“McDonald's takes data privacy and security seriously, and we take robust steps to safeguard customer information,” a McDonald’s spokesperson tells WIRED via email. “Like many digital loyalty programs, we use information such as past purchases to provide a more engaging, personal customer experience—like delivering the most relevant deals, offers and messages. Our customers continue to have privacy choices available to them as outlined in our privacy statement.”

Much of my data report contains a detailed account of past McDonald’s transactions as well as offers the fast-food company sent me and how many loyalty points I accumulated. Essentially, every time I opened up the app to grab a bite to eat, it created a detailed record about when, where, and what I purchased. The log was even more thorough than I anticipated, including a record of every time I’ve scanned a code as part of its returning Monopoly sweepstakes along with the prize I received.

While the sheer amount of data McDonald’s stored over the years caught me off guard at first, the way it was used by the company’s predictive algorithms was what I found most concerning. The company predicted how often I would visit in the next six weeks (2.16 times), what I would spend on average ($13.49), and what I would spend in total ($29.15). One reporter at WIRED joked that McDonald’s had created a Minority Report-style dossier to predict my next snack wrap purchase.

Beyond the numbers, McDonald’s also tracked a large Diet Coke as my favorite item to repeatedly purchase. It labeled my core purchasing habits as getting a “Food-Led Afternoon Snack” or an “On the Go Lunch in a Rush.” (Jokes about grabbing a “food-led” snack have now become a meme in my household.) Notably, the report also listed my “attrition” score as zero, which could mean that Ronald McDonald sees me as a lifelong customer who’s never going to stop grabbing french fries and a soda on the walk home.

“The 500 pages is kind of a wake-up call,” says Lorrie Cranor, a professor at Carnegie Mellon University and director of the CyLab Security and Privacy Institute. “But it's not in a format that people will readily understand.” She says a more beneficial approach for consumers would be highly detailed disclosures during the sign-up process that lay out what’s going to be stored in your “permanent record” and how that data will be used to make specific inferences about you.

Rank	10 Products McDonald’s Ranks as Most Relevant to Me
1	Large Diet Coke
2	Spicy Snack Wrap
3	The Grinch McShaker Fry Large
4	Double Cheeseburger
5	Ramyeon McShaker Fries Large
6	Buffalo Ranch Snack Wrap
7	Hot Honey Snack Wrap
8	Quarter Pounder With Cheese
9	L French Fries
10	20-Piece McNuggets

When it comes to this kind of data collection, there’s a stark power imbalance between the individual consumer and a well-organized company. “You're mediated by the technology,” says Ryan Calo, a professor at the University of Washington and faculty cofounder of its Tech Policy Lab. “You're going through their drive-thru. You're using their kiosk. You're using their app. You're in their ecosystem, and they have a bunch of people with letters after their names trying to design it in a way that maximizes profit.” Calo sees this power imbalance impacting users. Rather than benefiting consumers with sweet deals, loyalty programs can be used for long-term surveillance.

While many of the data points in my McDonald’s report, when viewed individually, seem innocuous, the accumulation of information over years creates a creepily accurate picture of my habits. “You eating this burger or liking that musician itself may not be private, but the aggregation and collection of this information, as well as its processing through AI, can create pretty invasive and personal information about when you're going to be there, what you do during the day, and so forth,” says Ari Ezra Waldman, a professor of law at UC Irvine.

Along with the right to request access to the data collected about me, I can also request that McDonald’s delete what it has stored. After rifling through the document, I went back to McDonald’s Privacy Rights Center and requested that everything be deleted. It always feels good to have a clean slate. Maybe, I hoped, this could be a turning point.

When I spoke with Cranor, she was floored by just how often I went to McDonald’s: “This guy eats a lot of McDonald's.” My boss, who was also stunned by my processed-food choices, says I now have to stop eating there. Despite my love of crispy Diet Cokes and greasy french fries, I agree. Not out of shame or even as part of an attempt to make healthier food choices—I want to leave it all behind just to prove the algorithm wrong.

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