Kayla Lopez

speaker
738 appearances 6 recordings 1 series first heard Jul 2026 last heard 5d ago

Kayla Lopez’s voice in public audio — every appearance, attributed to the second.

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recordings per month · last 12 months
4 · Aug OctJan 26AprJulnow

Recordings per month over the last 12 months — 6 in all, peaking in Aug 2026 with 4.

Appearances

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The report included years of transaction history, loyalty points, promotion offers, and even records of his monopoly game scans and prizes.
But it also looked to the future, using the data to predict his behavior, including that he'd visit 2.16 times in the next six weeks and spend an average of $13 per order.
It also scored him a zero on customer attrition, basically predicting he'd never stop eating at McDonald's.
Yeah.
McDonald says the data is used to personalize offers and improve the customer experience.
But privacy experts say that combining small data points over years and years of interaction can create surprisingly detailed profiles of people's habits and routines.
Right, I don't know about you, but all this McDonald's talk is really making me crave some french fries.
I do.
And this really got me thinking about when uh why some stories and some stories of data collection and personalization get a positive reaction from consumers and why some get a negative reaction.
So for example, let's let's think about Spotify Wrapped.
At the end of every year, Spotify shows you, you know, uh, your top artists and songs of the year.
And listeners are on the whole pretty happy to see their data.
Um, shown back to you and packaged and analyzed and played back in a kind of fun, shareable way.
But on the other hand, companies have gotten into some hot water for the data they collect.
Uh, for example, last year, Delta received pushback for charging solo travelers more per seat versus travelers booking the same flights just with multiple people.
And Instacart recently ended AI-based pricing experimentation when uh consumer reports uh investigation showed that they were charging users as much as 23% difference for the same item.
So even this story about McDonald's was receiving mixed responses online.
Um, some people were responding with outrage, saying, Why is McDonald's tracking this data for me?
And others saying, Well, if a little data is what I need.
to get a big discount on my fries, what's the big deal?
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