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  • It's happened to all of us, you go to the store stocked up on

  • groceries, household goods, oh, a new candle, and it's on sale?

  • Sure, I'll throw that in my car. You go to check out the swipe

  • your card had home, settle up on the couch and wait a second.

  • Does that not for candles? In fact, that's the exact brand I

  • just bought? How did they do that? We are able to show

  • targeted advertising that's relevant to people,

  • we obviously have advertising. We're an ad supported model. But

  • again, we collect less data than our peers. We're just allowing

  • private companies to monitor us left, right and center

  • for most people very familiar with meta Facebook, and YouTube.

  • But the successful business model of those powerful

  • platforms has really triggered a kind of wild west, you know,

  • digital data, gold rush.

  • At this point, data collection is a fact of life, from browser

  • cookies and Amazon Prime to hyper specific Facebook ads. The

  • modern consumer is giving over more and more data every single

  • day. But what if we told you data collection goes beyond

  • social media? Beyond ecommerce, you're collecting that data what

  • people purchase online, actually, if they share it with

  • us, that it's more a part of your everyday life that most

  • people realize

  • it's a total monetization of every aspect of our lives that

  • we didn't ask for, and that we really have very few ways to

  • escape.

  • What if you're giving over your valuable data, the moment you

  • step in a store,

  • walking into a store, there's a camera tracking my face, there's

  • Wi Fi or beacons tracking my movement through the store.

  • When you go shop for groceries, the grocery store is shopping

  • for your data. Now,

  • the federal government might be stepping in on behalf of

  • consumers.

  • Imagine a futuristic city where the in person shopping

  • experience is completely transformed. Where every

  • billboard and bus ad is personalized just for you. Were

  • clipping coupons is a thing of the past. And instead they

  • materialize in your hand the moment you step in front of a

  • product. A world where store knows exactly what you want

  • before you even step through the door. They know your age,

  • gender, race, what size shoes you wear, your favorite baseball

  • team, your movie night snack preference, they can even figure

  • out if you're pregnant. It may sound like something out of a

  • sci fi movie. But it's actually happening right now. In the US

  • to millions of shoppers at some of the country's biggest

  • retailers,

  • retailers today are doing just about everything they can to get

  • as much information about you as possible, because that's a whole

  • new revenue stream for them. It

  • feels like data collection is something that we all know is

  • happening but can't escape. A study out of the University of

  • Pennsylvania, about 79% of Americans feel they have little

  • control over what marketers can find out about them. And over

  • half 52% felt that they didn't hand over their data, they

  • wouldn't get the discounts they want. And even worse, that same

  • survey found the majority of Americans don't know the extent

  • of what companies can do with their personal data.

  • The moment you step into the store, often even before you

  • enter the store. There's all sorts of devices and

  • technologies that are being deployed nowadays, to actually

  • track customers understand that behavior.

  • In the world of data monetization, there are three

  • major categories of data that are collected. The first is

  • personal data, things like birthdays, age, name and

  • address. The second kind of info is demographic data, things like

  • socioeconomic status, education, Age, Group, and income. And

  • third is behavioral data. These are traceable actions a retailer

  • can collect such as product preference, purchase history,

  • internet browsing, and how much you're willing to pay for

  • products. That data collected by companies directly from you is

  • called first party data, and retailers are sitting on troves

  • of it,

  • they can then turn around and sell it to a lot of different

  • companies who are maybe using your say, Disney plus email

  • login in order to tie you together using that email

  • address identifier.

  • Now, the world of data acquisition is huge. Some may

  • call it a kind of wild west. But for now, let's focus on

  • retailers. How does my local supermarket get my data, there

  • are several points where data is collected. These are called

  • touch points are moments when you are giving over information

  • to a company whether it's knowingly or unknowingly. One of

  • the biggest touch points for retailers is the most obvious

  • one. One

  • of the biggest culprits in retailer data collection is

  • those loyalty programs. To sign up for one of those you have to

  • give your name, your date of birth, your email address or

  • phone number. And then subsequently you are

  • incentivized every time you go and shop at this particular

  • retailer to enter in all the information to identify yourself

  • and there so one of the most prominent ways in particular

  • right now that companies are figuring out how to monetize

  • data. Every

  • time you swipe your loyalty card to collect those points. You're

  • being tracked your purchasing being connected to your profile,

  • and that data is being used to analyze your behavior. further.

  • Now many people opt to not use a loyalty program, saving

  • themselves from having to hand over that information directly.

  • But even something as simple as downloading, the store's app can

  • be a touch point. other touch points might be happening

  • without you even realizing things like geofencing

  • connecting to ensure Wi Fi, even location tracking.

  • And they definitely have cameras in stores that are watching

  • people's bodies and which aisle they're in. And if they're

  • getting confused with this item below to send a customer service

  • rep.

  • A lot of stores nowadays are using cameras with facial

  • recognition to identify or re identify customers. Sometimes

  • they might even use the store Wi Fi, that even if you don't

  • connect to just the fact that your phone is in the store, your

  • phone has an identifier, Macy's

  • target Walmart, even Home Depot implement location tracking in

  • one way or another sending location specific push

  • notifications, implementing guided maps into their apps. And

  • even using cameras and AI to analyze the shoppers path

  • through a store. One of

  • the things that I talked about was what how Walmart has

  • completely changed the game around how they're doing

  • delivery, given the geofencing features, their IoT, essentially

  • inside the store wakes up make sure that things get back fresh

  • and is ready for delivery.

  • So you've made your way through the store, got your groceries,

  • and now it's time to checkout. This is where most people assume

  • they start to hand over their information. But they may not

  • realize how much because retailers don't stop at name,

  • email and phone number.

  • They know what you bought, what you look for, you know, they

  • they're able to use, you know, big computers to analyze what

  • you're willing to pay what you're not willing to pay when

  • you buy. But let's

  • say you choose not to sign up for a loyalty program, you don't

  • give an email or a phone number, you don't have the app, you've

  • done everything possible to protect your data. Well, that is

  • until you pull out your credit card, the

  • credit card you're using or the debit card you're using is being

  • tracked. So they know that this card has been used for purchase

  • in the store, even in the past, for example, and they can tie it

  • to previous purchases. Your actual purchase data is all tied

  • into that. So the exact items you purchase, at what price

  • whether you use a coupon or not whether you got a discount on or

  • all of that is feeding into the sort of customer profile.

  • But what if I pay with cash? Well, people plan for that too.

  • A lot

  • of stores will even at checkout, ask you for an email or ask you

  • to you know scan a QR code to get a digital receipt. I'm at

  • the checkout of paid maybe I even paid with cash but I scan a

  • QR code, get a digital receipt in my browser. And now my device

  • is connected to my customer profile. So in just

  • one shopping trip, you may have given a company or companies a

  • lot more information about you and your habits and you realize,

  • but what are they doing with it? Well, short answer is it

  • depends.

  • Most Out of was and still is initially used for consumer

  • insights. Much like social media algorithms, retailers want to

  • bring shoppers in by tailoring the experience to consumers

  • wants and needs.

  • The better I know my customers the more I can sell to them, the

  • better I know my customers the better experience I can give to

  • them. The better I know my customers, the more services I

  • can sell to them in addition in addition to what I do, and

  • lastly, the better I know my customers the more revenue I can

  • generate.

  • In the past data acquisition commonly meant a company

  • collects your information via third party methods like browser

  • cookies or buying your information from a data broker,

  • a data brokers a company that specializes in collecting a

  • person's information, then turning around and selling it to

  • third parties. Axiom Experian and CoreLogic are examples of

  • notable US data brokers. Well, data brokers still play a large

  • role in the information collecting ecosystem retailers

  • have started cutting out the middleman. Every

  • company today is a Data Broker. Your local grocery store is a

  • Data Broker. You know, you know your drugstore is a Data Broker.

  • Your retailer is a Data Broker, certainly everywhere you go

  • online, their data brokers.

  • In 2021, the Data Broker market was valued at an estimated $319

  • billion dollars. That number is expected to surpass 545 billion

  • by 2028. According to PwC, retailers can expect to see a

  • three to 5% margin increase by investing in data monetization.

  • You've

  • seen Macy's and BestBuy, Sam's Club, a bunch of companies are

  • turning around and taking the data that they happen to know

  • about you and making a new revenue stream out of it by

  • selling it to other companies.

  • By cutting out the middleman retailers get more say on how

  • and where their customers data is used, opening up an entirely

  • new revenue stream. But then that poses the question, what

  • are retailers doing with your data? Well, the first and most

  • obvious answer is one most of us run into every single day.

  • A lot of data ends up being used for the targeted ads that we see

  • every time you load a webpage or scroll on our social media feed.

  • You know if you pay attention to the next time you load a web

  • page, it's usually a bit of a lag between the cons meant

  • loading and then the ads loading. Because in that moment,

  • there's a huge auction happening way behind the scenes that you

  • don't know about where people are slinging your information

  • around. So

  • this leads into another way retailers are monetizing data,

  • retail media networks, or retail media network is a network of

  • advertising infrastructure that retailers offer to third

  • parties. This could be in store through apps, websites, even

  • smart TVs. Today,

  • every you know, major supermarket and retail and

  • dollar store chain is in fact engaged in digital marketing

  • through these retail media networks.

  • Retail media networks set up a tit for tat relationship between

  • advertisers and retailers, advertisers get direct access to

  • not just shoppers but their data as well. This valuable first

  • party data allows advertisers to avoid using third party

  • identifiers like browser cookies. And in turn, retailers

  • offer more discounts click ad revenue, and narrow the gap

  • between ad spend and sales. In 2022, the global market value of

  • retail media networks was valued at $18.8 billion. So

  • if I said your T shirt, I maybe have a 30% profit margin on it.

  • But if I show you an ad for Hershey's that really wants to

  • target you, because you fit a certain customer profile that

  • they wanted to target. I basically have 90% margin on

  • that, because I'm basically being paid to show you an

  • advertisement. And

  • it's not just advertisers that are getting a slice of the data

  • pie. Many retailers like WalMart provide data to suppliers. This

  • leads into a larger conversation about company partnerships.

  • Every

  • company works with every other company. So your local grocery

  • chain, for example, has partnerships, you know, a myriad

  • an avalanche of partnerships with platforms and data brokers

  • and media companies and advertisers, you name it.

  • Retailers are also partnering with brands utilizing things

  • like slotting fees where brands might pay a store to be placed

  • eye level making shopper more likely to pick a big brand

  • product over competitors. This practice has evolved in the era

  • of online shopping, the kinds

  • of brands that you might see, when you get when you look at

  • your app to get your loyalty discounts, for example, those

  • brands have paid to be there to reveal in the forefront paying

  • to get access to you, but also sharing data about you in

  • various ways.

  • But how is this all legal? Aren't there privacy laws that

  • protect consumers? Well, some data is protected, meaning it

  • can't be sold. But it can be shared.

  • They've developed the kind of technique which they think gets

  • them around privacy laws, and it's sharing. Everybody

  • collaborates with everyone else, everyone partners with everyone

  • else. So your grocery store is not selling the data data

  • brokers might sell some data to grocery stores. But grocery

  • stores are partnering with a whole bunch of companies in

  • order to kind of pull the data. So

  • let's say you shop at grocery store a in grocery store a is

  • set to merge with grocery store B. Now you've never actually

  • been to grocery store B but a merger would mean grocery store

  • B would also have access to all your data. Every purchase every

  • card swipe every coupon every time you grab discount chips

  • over namebrand. Now let's add a third party. Say you sometimes

  • order groceries through mobile shopper, and mobile shopper has

  • a data partnership with grocery store B, meaning grocery store B

  • could be getting your data from two sources without you ever

  • having stepped foot in the store. It's not a hypothetical,

  • it's actually happening right now between Kroger, Albertsons,

  • and Instacart. While this may seem like at worst, an inbox

  • full of junk mail and a slight annoyance, data partnering can

  • have huge implications. When does private companies data

  • protections fail? What we've

  • done over the last 25 years basically, is allow all these

  • big data companies and big media data companies to get bigger.

  • And so consequently, when there is a breach, right? They have so

  • much data, it's very hard for them to protect all that data.

  • And it goes beyond that. Because you don't need your data to end

  • up on the dark web for it to be used against you. Once it's out

  • there can be bought by insurance providers, law enforcement,

  • banks, even the government. When

  • you're applying for a job or applying for a loan, some of the

  • checks that companies may do on your record can include data

  • that you had no idea that could have access to that's a really

  • big concern when it comes to people's financial health and

  • employment opportunities is what data is being used to make

  • decisions about me. Is it data that's correct. Is it data that

  • I have any opportunity to see and practice it is wrong?

  • In big box stores aren't just grocery and retail. They're also

  • becoming pharmacist, health care specialist optometrists. They

  • know if you're on food stamps, if you're a veteran, if you're

  • pregnant, if you have kids.

  • So there are public health and privacy, you know and consumer

  • protection issues that are implicated by the explosion of

  • data tactics that the grocery stores are using today.

  • So what can consumers do to protect themselves? Well, first,

  • you can simply choose to opt out of many of those data sharing

  • touchpoints. Taking

  • opportunities when you can to find ways to opt out of staff is

  • a really powerful tool that you can have been very wary of

  • loyalty programs, looking at privacy policies of different

  • services can tell you a lot about what they intend to do

  • with your data. If that privacy policy is really vague, then you

  • should try your best to stay away

  • ultimate way to not be tracked as to go analog, which in

  • practical terms means when you walk into a store, you might

  • want to turn off your Wi Fi, put your phone into fight mode so

  • that you don't being tracked by beacons, or by the store Wi Fi.

  • But

  • even then, understanding what you're agreeing to or how you

  • can protect yourself can be overwhelming.

  • There's a reason that the way that you figure out what rights

  • you have on your data are buried on page 17 of privacy policies.

  • Right now, this idea that you are able to opt out of data

  • sales is kind of absurd, because it would take a huge amount of

  • your time and energy to actually locate how you're supposed to

  • submit these requests, and then actually take the time to do it.

  • And

  • what about my data that's already out there? Well, that's

  • a bit more complicated.

  • Right now. We as consumers have incredibly few legal protections

  • around data collection right now, companies can pretty much

  • collect whatever they want about us and do whatever they want.

  • Remember that UPenn survey we mentioned earlier, well, of the

  • Americans surveyed, nearly 80% said Congress should act

  • urgently to regulate how companies can utilize personal

  • information. Despite this consumer data privacy laws

  • really only exist on the state level. Right now, only 13 states

  • have passed comprehensive data privacy laws. And of those 13

  • Only California, Colorado, Connecticut and Virginia have

  • laws that are currently in effect.

  • We really need data minimization. And we need

  • purpose specification, that means that companies can do

  • whatever they want. And right now, it's very unfortunate that

  • industry groups tech groups, the advertising industry has a lot

  • of say over how those bills have looked.

  • On the federal side, there are several data privacy laws, but

  • they are a hodgepodge of different laws that only focus

  • on one consumer group or one set of data. There currently isn't a

  • singular law that focuses on consumer data protection as a

  • whole.

  • We can, as citizens in particular asked for real

  • regulations, we can let our lawmakers know that this system

  • is horrific, and it's just not something that we really want to

  • even just be a part of.

  • That's not to say there's been no movement on the federal

  • front. In June of 2023, the FTC refiled a previously dismissed

  • lawsuit against Data Broker co Chava. alleging the broker sold

  • geolocation data that tracks sensitive info on millions of

  • mobile devices without users knowledge or consent. Could

  • Trump have filed a motion to dismiss the complaint calling

  • the allegations hypothetical and says the FTC is claim is unfair.

  • Then in September of this year, an FTC official put out another

  • warning shot at the Data Broker industry, saying that data

  • maximization model is a serious threat to Americans

  • constitutional liberties, meaning we could see more action

  • taken by the federal government against data brokers in the near

  • future.

  • There are many groups at risk here, you know, as these grocery

  • stores have your health information and you know, your

  • ethnic racial information, so the use of all this data can

  • have very potentially harmful and discriminatory impacts.

  • Another reason why we need regulators on the case

It's happened to all of us, you go to the store stocked up on

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Why Even Your Local Grocery Store Wants Your Digital Data(Why Even Your Local Grocery Store Wants Your Digital Data)

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    林宜悉 に公開 2024 年 03 月 04 日
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