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Your iPhone is not eavesdropping on your conversations to sell you things. It’s actually much worse.

Yesterday I asked my wife what she wanted for her birthday. She told me she’d like a cordless Dremel. Later, I was served an advertisement for—you guessed it—a cordless Dremel.

Now, we’d never talked about hand-drills before; I have no interest in power tools, I’d never done a search for them or looked at them on Amazon, so the phone must have been listening to what we were saying. It has a microphone right there, so why wouldn’t it be sending our voices to Google headquarters or wherever so they can send me an ad? What other explanation is there? It turns out there is another explanation, and it’s stranger and more insidious than high-tech eavesdropping.

Your phone isn’t listening to you (at least not how you think it is)

Your phone is listening to you at all times, sort of. If it wasn’t, personal assistant apps wouldn’t be able to spring into action when you say “Siri” or “Alexa.” But that’s a different kind of listening. Your device is only always listening for a specific word (or the “wake word”). Only after it hears that do the smarter parts of its digital brain light up.

Your conversations are not routinely transmitted to distant advertising companies so they can pick up random words and serve you commercials. This would take a lot of resources, and probably violate wiretapping and other privacy laws. It also just doesn’t make sense: There would be too much noise in listening to everything everyone says, and not enough signal to bother—especially since advertisers already know everything relevant about you without having listen to you prattle on to your dumb friends.

What data your phone is actually collecting

Instead of eavesdropping and storing your voice as many assume, your apps, phone, watch, game system, computer, and probably your oven are greedily collecting every data point they possibly can, including but not limited to your:

  • Location information (both through your device’s location settings and IP address)
  • Search history
  • Browsing history
  • Purchase history
  • Physical interactions (that is, how you physically use your device)

This information, taken as a whole, is way more valuable and useful than whatever you talk about, and basically anyone who wants to can buy it. Advertising companies don’t, as a rule, connect this data to anything that can specifically identify you (like your name and address). That wouldn’t be hard to do, but there isn’t much in it for advertisers. They know everything you do, 24 hours a day, so what difference does your name make? The process itself is called fingerprinting, and it allows advertisers to track you across sites and apps.

The scary world of online behavioural advertising

A few basic data points would be all anyone would need to get a rough idea of how to advertise to you. If your location is “Beverly Hills” and you recently spent an hour looking at the Lexus website, you’re probably a rich guy in the market for a new car. In olden times, that’s all they’d need to target you, maybe with a billboard in your neighbourhood or something. But online behavioural advertising collects so much other information—you bought a tent last month, you watched Star Trek on Sunday night—that targeting becomes scarily precise, to the point that it can feel supernatural.


One way to beat tracking is by using a VPN while you browse the internet on your smartphone. A VPN will encrypt your traffic and route it through a remote server, making it difficult for trackers to identify you or your location. PCMag reviewed the top VPNs available on iPhone and Android, ranking the following among the best options:


The hidden connections that bind us together

That explains how ads can be so specific to your interests, but not why you’d get ads after having a conversation with someone. That’s where things get creepier: Advertisers compare your “anonymous” identity with the identities you spend a lot of time around (like your spouse) to predict your buying interests. So they know you hang out at a squash court with Gary (although they don’t know his name) and that Gary spends a lot of time looking at Audi’s website. They know what other rich guys into cars like you and Gary think about, what they buy, and how they feel. So if an ad for an Audi appears, it’s not because Gary told you about his car. It’s because Gary is into Audi, and you hang with Gary.

In the case of my wife and the drill, advertisers know my wife’s ad profile spends a lot of time in the same location as my ad profile. They know she’s been searching for cordless drills online, and that her birthday is a month away. So throwing me an ad for a drill makes sense, even if it feels like an invasion of privacy.

You are depressingly predictable

Even knowing how it works, targeted advertising can seem eerily, impossibly accurate. Sometimes you’re served ads for things you’re just thinking about, that really can’t be connected to your search history, location, who you’re hanging around with, or anything else. But that can be explained too.

“Rich guys like expensive cars” is the kind association humans make, based on past experiences, expectations, and personal bias. But computers don’t have assumptions or the limitations we have. They dispassionately compare mind-bogglingly huge datasets, and I assume they are making connections that are not apparent and can’t be readily explained. Maybe people just like you tend to be interested in learning to play the banjo when they turn 35, and that’s why that ad popped up on your birthday.

The other forces at play: Manufactured coincidence and pattern recognition

Coincidence comes into play somewhat, too. Even if online ads were random, people would still sometimes wonder if their phones were spying on them. It’s human nature to pay attention to unusual occurrences (like an ad for a candy bar popping up just as you thought about having a snack) while ignoring mundane ones (the ad for a movie you don’t care about that preceded it). Given that there is a sophisticated attempt to manufacture meaningful “coincidences,” it shouldn’t be surprising that targeted ads occasionally hit seemingly impossible shots—that’s what they’re aiming for.

Don’t worry, it’s going to get worse

The next logical step in targeted advertising will likely come from generative AI. Advertising companies are already experimenting with using AI to create more effective ad copy and visuals. This CNBC article imagines, “Facebook users in Utah being shown AI-generated graphics of people cycling through desert canyons, while users in San Francisco could be shown cyclists cruising over the Golden Gate Bridge,” but that seems crude and only a few months in the future. When AI gets really good, things will get exponentially more depressing.

Advertisers already know almost everything about you. Now imagine a computer that can craft instant, on-the-fly advertising aimed at you, and only you—not an educated guess based on people like you, but you as an individual. Advertising already feels invasive; imagine ads that target your personal insecurities and secret dreams. Picture a commercial for a Dremel starring your dead mother or your childhood crush. I have a feeling we’re going to wish our phones were literally spying on us.

Until then, things are getting (a bit) better

It’s not all going downhill from a privacy perspective: Tech companies are slowly adding new tools to help users keep their data private from online trackers. Remember Apple’s App Tracking Transparency feature? The company released it two years ago to force apps to ask your permission to track you across apps and websites. (The answer, of course, should be, “Hell no.”)

Its wide adoption pissed off companies like Facebook, whose entire business models relied on selling the data from this tracking. Ever since, your iPhone data has been a little less transparent to the advertisers of the world. (For those on Android, DuckDuckGo has a similar feature to keep your apps a little more secure.)

Privacy controls across all operating systems and browsers have become more robust as well. Windows, macOS, Android, and iOS now offer more controls than ever for seeing which apps request which data points, and blocking those apps from accessing them. Browsers like Safari, Edge, and Firefox continually add new ways to hide your data from trackers even by default, and especially if you go in and tinker with your settings. Plus, many sites and apps that serve you ads now let you turn off targeted advertising: You might still see the same number of ads, but they won’t be based on your identifiers. (No Dremel for you.)

Using a smartphone may never be “private,” but at least there are more tools than ever to make the experience as private as can be. Until the AI get too smart for them, anyway.

Feature Image Credit: Alberto Garcia Guillen (Shutterstock)

By Stephen Johnson

Sourced from lifehacker

More than a third of millennials use their phones for personal activities up to 2 hours during the workday.

By MediaStreet Staff Writers

Technology is now on the verge of making us utterly unproductive. This is according to a new report from Udemy.

The study measured how distracted employees are during work hours, how they’re responding to distractions, and the price of distraction for employers and the economy at large. The research found a strong correlation between increased levels of distraction, decreased productivity, and a lack of proper training at work.

Workers can’t resist the pull of social media
Most survey respondents (58%) said they don’t need social media to do their jobs, but they still can’t make it through the day without it. When asked to rank various social media sites and communication tools by degree of distraction, Facebook came in first (65%), followed distantly by Instagram (9%), Snapchat (7%), and Twitter (7%).

In addition to recognising how workplace distraction can hurt productivity and diminish quality of work, companies need to be aware of the very real damage to employee morale and retention. Among millennials and Gen Z, 22% feel distractions prevent them from reaching their full potential and advancing in their careers, and overall, 34% say they like their jobs less as a result.

When people are engaged, they report being more motivated, confident, and happy, and feel they deliver higher quality work. And, based on the survey, opportunities around learning and development are the top drivers of engagement.

 

Workers want training but are reluctant to ask for it
Though 69% of full-time employees surveyed report being distracted at work and 70% agree that training could help them learn to focus and manage their time better, 66% have never brought this up to their managers. Younger workers, in particular, are also having trouble balancing work and personal activities on devices they use for both; 78% of millennials/Gen Z say using technology for personal activity is more distracting than work-related tools like email and chat.

Let’s face it, we are all suckers for social media. The good news for marketers is that with highly engaged audiences comes a lot of places to put targeting advertising and reach these audiences.

 

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Certain weather conditions get better consumer responses to mobile marketing efforts.

By MediaStreet Staff Writers

Many factors impact digital marketing and online advertising strategy. And now, a new Chinese study provides insight to a growing trend among firms and big brands … weather-based advertising. According to the study, certain weather conditions get better consumer responses to mobile marketing efforts, Also, the tone of your ad content can either help or hurt your marketing efforts, depending on the current local weather.

In the U.S. this is far more advanced than in Europe. Over the pond, many major brands – including Burberry, Ace Hardware, Taco Bell, Delta Airlines, and Farmers Insurance – are currently leveraging weather-based promotions. More than 200 others have partnered with the Weather Channel Company for targeted advertising and promotions.

The study, “Sunny, Rainy, and Cloudy with a Chance of Mobile Promotion Effectiveness,” was conducted by boffins at Beihang University, Temple University, Fudan University, and Zhejiang University. The authors examined field experiment datasets with mobile platforms (SMS and APP) on two digital products (video-streaming and e-book reading) on over six million mobile users in 344 cities across China. They simultaneously tracked weather conditions at both daily and hourly rates across these cities, with a focus on sunny, cloudy and rainy weather.

The authors found that overall, consumer response to mobile promotions was 1.2 times higher and occurred 73 percent faster in sunny weather than in cloudy weather. However, during raining conditions, that response was .9 times lower and 59 percent slower than during cloudy weather. Better-than-yesterday weather and better-than-forecast weather engender more purchase responses. A good deviation from the expected rainy or cloudy weather with relatively rare events of sunshine significantly boosts purchase responses to mobile promotions. In addition, compared with a neutral tone, the negative tone of prevention ad content hurts the initial promotion boost induced by sunshine, but improves the initial promotion drop induced by rainfall.

The authors also ruled out the possibility that the results could arise purely because of different mobile usage behaviours during different weather conditions. Their results also took into account the effects of individual locations, temperature, humidity, visibility, air pressure, dew point, wind, and time of day.

“Obviously, although brand managers cannot control the mother-nature weather, our findings are non-trivial because they suggest that brands can leverage the relevant, local weather information in mobile promotions. Firms should use the prevention-tone ad copy on rainy days and the simple neutral-tone ad copy on sunny days to attain greater bang for the buck,” said Chenxi Li of Beihang University.

“Given that consumers nowadays are inundated with and annoyed by irrelevant ads on their personal mobile devices and small screens, for marketers, these findings imply new opportunities of customer data analytics for more effective weather-based mobile targeting,” added Xueming Luo of Temple University.

The full study can be found here.