We’re a few snowy days from February 27, otherwise known as Open That Bottle Night. The night was invented by the two Wall Street Journal wine columnists -- in their words, “You know that bottle of wine you've been keeping around for that special occasion that never arrives or because the wine is always going to be better tomorrow? Open that bottle!”
Curious, because you might think we wouldn’t need to be prodded into taking part in something as pleasurable as a bottle of wine.
A recent New York Times article by John Tierney explored the surprisingly widespread human tendency to procrastinate pleasure. We wait to use gift cards, wait to redeem frequent flier miles, and endlessly put off visiting our own hometown tourist attractions. According to a study conducted by Suzanne B. Shu and Ayelet Gneezy, professors of marketing at the University of California, Los Angeles, and the University of California, San Diego, people who have moved to Chicago, Dallas and London visit fewer local landmarks during their first year than the typical tourist visits during a short stay. The only time Chicagoans run around visiting local attractions is just before they are about to move out of town. The same professors gave people gift certificates for movie tickets and French pastries. Some of the certificates expired in a few weeks, while others didn’t expire for two months. The people who got the longer term certificates were more confident they would redeem the gifts, but less likely to actually pull the trigger. It turns out we overestimate how much free time we’ll have in the future. And we become overly focused on imagining idealized scenarios, in which we paint pictures of achieving maximum value and pleasure from miles, gift cards, or bottles of red—without acting to turn these “magical thinking” thought processes into realities.
The Times suggests consumers learn from this research and quickly cash in gift certificates and miles, and that we stop procrastinating pleasure. There might be a few lessons for retailers as well – while customers (and legislators) say they want gift cards that don’t expire, deadlines are actually in the customer’s best interest. Also, this counter-intuitive behavior among gift card holders suggests there might be new, interesting information to be discovered in how shoppers use gift cards. Interesting insights could be well be found in a study using video analytics and shop alongs among gift card users vs. other shoppers to determine particular shopping styles, store penetration, freneticism, overbuying, and more.
Showing posts with label New York Times. Show all posts
Showing posts with label New York Times. Show all posts
Monday, February 22, 2010
Wednesday, July 8, 2009
The not-so-gullible consumer
Imagine a patient who goes to the doctor for help with sleeplessness. If the doctor were to prescribe a medication saying, “this may or may not do any good, it’s not especially strong, but let’s give it a try to start out with and see if it helps,” it’s not very likely that the patient’s sleeplessness will be remedied. But if the doctor were to prescribe the same medication with the admonishment, “This is very powerful, so make sure you don’t leave the bottle on your nightstand. You can’t take the chance you might take an extra one while you’re half-asleep. Keep it well inside your medicine cabinet” -- it’s much more likely the patient will get to dreamland.
The power of suggestion can be surprisingly effective. For example, research on placebos has found that they can alleviate pain, depression, and anxiety, lessen the symptoms of Parkinson’s disease, and have even shrunk tumors. John Tierney's recent New York Times article ”Calculating Consumer Happiness at Any Price” explores the power of suggestion in the consumer realm: do we place a higher value on items that we’re told are more costly? According to social psychologists’ and behavioral economists’ research, it depends.
In the lab, there’s evidence consumers respond better to items they’re told are more expensive. If you tell participants the wine they’re tasting costs $90 a bottle, the reward centers of their brains will light up more than if you tell them it’s a $10 bottle. But when customers are spending their own money rather than the hypothetical dollars in a laboratory, it turns out to be difficult to sway people from following their own tastes. Two behavioral economists in Tel Aviv monitored the choices of people who ordered from a prix fixe menu where the actual cost of each entrée was noted next to the items. After three months of testing various combinations of prices, the researchers found they couldn’t sway the customers. They were no more likely to select the entrée with the highest perceived value than any other entree. As one of the behavioral economists said, “Maybe when it comes to food, people do have reasonably stable preferences. Some people like shrimp and some don’t, even if it’s worth a lot of money.” (The fact that Israeli researchers were testing pork shank and shrimp gnocchi as part of the menu experiment is another story…..)
Despite the mountain of laboratory evidence that variations in sticker prices sway consumers, the effect fell apart in the real world test at the restaurant. That should serve as a warning to those of us who study customer behavior. While techniques such as focus groups and virtual reality shopping may provide some insights, it’s vital to watch how consumers actually behave when they’re spending their own money in the store, not just in the lab.
The power of suggestion can be surprisingly effective. For example, research on placebos has found that they can alleviate pain, depression, and anxiety, lessen the symptoms of Parkinson’s disease, and have even shrunk tumors. John Tierney's recent New York Times article ”Calculating Consumer Happiness at Any Price” explores the power of suggestion in the consumer realm: do we place a higher value on items that we’re told are more costly? According to social psychologists’ and behavioral economists’ research, it depends.
In the lab, there’s evidence consumers respond better to items they’re told are more expensive. If you tell participants the wine they’re tasting costs $90 a bottle, the reward centers of their brains will light up more than if you tell them it’s a $10 bottle. But when customers are spending their own money rather than the hypothetical dollars in a laboratory, it turns out to be difficult to sway people from following their own tastes. Two behavioral economists in Tel Aviv monitored the choices of people who ordered from a prix fixe menu where the actual cost of each entrée was noted next to the items. After three months of testing various combinations of prices, the researchers found they couldn’t sway the customers. They were no more likely to select the entrée with the highest perceived value than any other entree. As one of the behavioral economists said, “Maybe when it comes to food, people do have reasonably stable preferences. Some people like shrimp and some don’t, even if it’s worth a lot of money.” (The fact that Israeli researchers were testing pork shank and shrimp gnocchi as part of the menu experiment is another story…..)
Despite the mountain of laboratory evidence that variations in sticker prices sway consumers, the effect fell apart in the real world test at the restaurant. That should serve as a warning to those of us who study customer behavior. While techniques such as focus groups and virtual reality shopping may provide some insights, it’s vital to watch how consumers actually behave when they’re spending their own money in the store, not just in the lab.
Friday, June 26, 2009
Judge a book by its cover at your own peril
One hundred and ten years after its 1818 founding in New York City, venerable retailer Brooks Brothers opened its second store, in Boston, on that city’s famed Newbury Street. A cautionary tale for the ages happened one morning when a man entered the store in tattered clothing, wearing rubber boots, and smelling a bit rank. The “up” salesman would not wait on him (the associate whose turn it was to help the next customer). The other salesmen looked away, busying themselves with anything else to avoid the unwelcome stranger. When the man finally asked for help from anyone within earshot, he was pawned off on the most junior salesman, who had no choice but to offer some assistance. Then, in the next two hours, the stranger ordered up $10,000 in custom-made suits, shoes and furnishings. (As you might guess, the “up” man tried to claim the sale as his own, to no avail). When the young salesman began asking the stranger about himself, he learned the man just arrived in town from his home in Vermont, where he was the owner of a highly successful hog farming business.
Fast–forward to the reverse situation. What happens when customers are the ones judging salespeople? According to a recent article in the New York Times, a new study found that people give higher customer satisfaction ratings to white male employees than to women and members of minorities, even when their performance is the same. In one test, about 12,000 patients in an HMO rated their doctors. The number of follow-up email messages doctors sent to patients increased their patient ratings only when the doctor was a white man. In another experiment, students watched videotaped interactions between a bookshop sales clerk and customers, and were asked to rate the customer service. Three actors played the part of the sales clerk—a white male, a black male, and a white female. All used the same settings and scripts. The subjects shown the white male clerk rated the bookshop’s service 19% higher than subjects who viewed the other two actors. Even women and people of color gave white males higher marks. Since over 60 percent of employees have at least some of their pay linked to customer satisfaction results, these biases are not just socially undesirable, they hit female and minority employees squarely in the pocketbook.
According to David R. Hekman, the lead author of the study and professor at the University of Wisconsin, Milwaukee, “Someone needs to call customers out on their biases.” Hopefully, if people are made aware of their subconscious biases through coverage of studies like these, they will be less likely to penalize female and minority employees on satisfaction surveys. Another possibility would be to create employee evaluation tools that are truly objective. Techniques such as video analytics can deliver a bias-free analysis of the customer experience. Any other ideas on how we can eradicate the hidden biases that occur when shoppers evaluate employees (or vice versa)?
Fast–forward to the reverse situation. What happens when customers are the ones judging salespeople? According to a recent article in the New York Times, a new study found that people give higher customer satisfaction ratings to white male employees than to women and members of minorities, even when their performance is the same. In one test, about 12,000 patients in an HMO rated their doctors. The number of follow-up email messages doctors sent to patients increased their patient ratings only when the doctor was a white man. In another experiment, students watched videotaped interactions between a bookshop sales clerk and customers, and were asked to rate the customer service. Three actors played the part of the sales clerk—a white male, a black male, and a white female. All used the same settings and scripts. The subjects shown the white male clerk rated the bookshop’s service 19% higher than subjects who viewed the other two actors. Even women and people of color gave white males higher marks. Since over 60 percent of employees have at least some of their pay linked to customer satisfaction results, these biases are not just socially undesirable, they hit female and minority employees squarely in the pocketbook.
According to David R. Hekman, the lead author of the study and professor at the University of Wisconsin, Milwaukee, “Someone needs to call customers out on their biases.” Hopefully, if people are made aware of their subconscious biases through coverage of studies like these, they will be less likely to penalize female and minority employees on satisfaction surveys. Another possibility would be to create employee evaluation tools that are truly objective. Techniques such as video analytics can deliver a bias-free analysis of the customer experience. Any other ideas on how we can eradicate the hidden biases that occur when shoppers evaluate employees (or vice versa)?
Monday, May 18, 2009
Seduced and abandoned
In days gone by (any time before the current recession), the shopping cart was a customer’s rolling possession holder, containing all the selections that were as good as bought and paid for. With its vertical bars, the cart gave off a warning to other shoppers to keep out, contents contained within this high-security traveling metal fencing are “my stuff.” At the same time, each product placed within the cart represented the shopper’s (almost) solemn commitment to purchase—nothing would leave the cart until checkout. Sure, once in a great while you might see a vaguely embarrassed customer beg off an item at checkout—to the tsk-tsks, tut-tuts and clucking sounds of others in the queue, a chorus of muses who sensed some important cosmic code of shopping conduct had been violated. But mostly, the mighty mobile fortress simply served as the shopper’s purchase conveyance until their items could be taken out to the parking lot and put in the car.
No more. In a recent study we did for a large retail chain, upwards of 500 items were abandoned every day in each of the stores we were in, relegated to a corral of carts in the corner whose sole purpose was to house these rejected products (looking rather forlorn, anthropomorphically speaking, like abandoned puppies at a shelter). A cottage industry sprang up in the stores to sort and re-stock these “re-shops”—a thankless, never-ending task for the associates. Clearly, customers had exploded the idea that moving an item from the shelf into their cart represented any kind of implied purchase agreement.
Yesterday’s New York Times featured an article on abandonments in the online shopping world, highlighting a new web service which remarkets to those who might put an item in their electronic “cart,” but not finish the transaction. It’s an interesting approach to nudging people to re-consider, but certainly loaded with complications, not the least of which is the highly intrusive annoyance factor.
Perhaps the customer contract in bricks-and-mortar retailers will be re-initiated, and shoppers will once again follow the age-old Cafeteria Rule—take all you want and eat (buy) all you take. Or we may be witnessing something that has already changed forever—good or bad economy notwithstanding—the cart as nothing more than a carriage of considerations.
No more. In a recent study we did for a large retail chain, upwards of 500 items were abandoned every day in each of the stores we were in, relegated to a corral of carts in the corner whose sole purpose was to house these rejected products (looking rather forlorn, anthropomorphically speaking, like abandoned puppies at a shelter). A cottage industry sprang up in the stores to sort and re-stock these “re-shops”—a thankless, never-ending task for the associates. Clearly, customers had exploded the idea that moving an item from the shelf into their cart represented any kind of implied purchase agreement.
Yesterday’s New York Times featured an article on abandonments in the online shopping world, highlighting a new web service which remarkets to those who might put an item in their electronic “cart,” but not finish the transaction. It’s an interesting approach to nudging people to re-consider, but certainly loaded with complications, not the least of which is the highly intrusive annoyance factor.
Perhaps the customer contract in bricks-and-mortar retailers will be re-initiated, and shoppers will once again follow the age-old Cafeteria Rule—take all you want and eat (buy) all you take. Or we may be witnessing something that has already changed forever—good or bad economy notwithstanding—the cart as nothing more than a carriage of considerations.
Friday, March 20, 2009
Can we do an MRI in Aisle 11?
Ron writes: The search for the perfect predictor of advertising effectiveness continues. According to a recent story in the New York Times, a Yale undergraduate is using magnetic resource imaging to “study brain waves and determine why people respond to some advertisements but not others.”
Emily Yudofsky became curious about the potential of neuromarketing in high school, when she worked in a laboratory that did research on the consumer response to Coke vs. Pepsi. Yudofsky’s neuromarketing company will specialize in research on public service advertising, hoping to develop anti-smoking or don’t-drink-and-drive campaigns.
The article suggests neuromarketing is “tremendously controversial,” both because it is seen as “creepy” and, as scientists point out, “just because a neuron fires does not mean a consumer likes Coke better than Pepsi.” If neuromarketing is indeed effective, we will see it used for more commercial applications. It is tempting to believe that brain scans can provide a complete understanding of how consumers make decisions. However, no matter how refined this technology gets, it won’t be a substitute for the observation of behavior and the resulting insights that bring true understanding of the consumer. At least not yet.
Emily Yudofsky became curious about the potential of neuromarketing in high school, when she worked in a laboratory that did research on the consumer response to Coke vs. Pepsi. Yudofsky’s neuromarketing company will specialize in research on public service advertising, hoping to develop anti-smoking or don’t-drink-and-drive campaigns.
The article suggests neuromarketing is “tremendously controversial,” both because it is seen as “creepy” and, as scientists point out, “just because a neuron fires does not mean a consumer likes Coke better than Pepsi.” If neuromarketing is indeed effective, we will see it used for more commercial applications. It is tempting to believe that brain scans can provide a complete understanding of how consumers make decisions. However, no matter how refined this technology gets, it won’t be a substitute for the observation of behavior and the resulting insights that bring true understanding of the consumer. At least not yet.
Friday, March 13, 2009
On second thought, bring back the lasers
Ron writes: Getting a hard count of how many people pass through New York’s Times Square every day is an important measure for a number of commercial interests—setting retail rents and outdoor advertising rates most particularly. According to this article in the New York Times, the Times Square Alliance pays $100,000 a year for a team of Russian immigrants who are paid $8 an hour to count the masses. The NYT reports that high-tech gadgets such as video recordings, vertical cameras, and even lasers have been considered, but that the immense volume of traffic overwhelms the technology. Instead, the human tide is counted by “dozens of Russian immigrants armed with clipboards, folding chairs and counters.”
Still, the low tech hand clicker approach employed by the Russians doesn’t work perfectly either. According to one of the counters, “When people walk en masse, it’s useless.” So when Times Square is most crowded, and counting accuracy is most important, the low tech method breaks down, too.
Having worked with many companies to help them understand customer traffic and behaviors, I know the best results come from employing both higher tech solutions such as video cameras, along with a low-tech, more labor-intensive approach. Perhaps if the Times Square Alliance employed this one-two punch, they would be able to get true head-count fidelity.
Even so, the most crucial assessments would still elude them—like how many people are actually stopping into the stores and buying, and who and how many are actually looking at the billboards. Those are the numbers worth real money.
Still, the low tech hand clicker approach employed by the Russians doesn’t work perfectly either. According to one of the counters, “When people walk en masse, it’s useless.” So when Times Square is most crowded, and counting accuracy is most important, the low tech method breaks down, too.
Having worked with many companies to help them understand customer traffic and behaviors, I know the best results come from employing both higher tech solutions such as video cameras, along with a low-tech, more labor-intensive approach. Perhaps if the Times Square Alliance employed this one-two punch, they would be able to get true head-count fidelity.
Even so, the most crucial assessments would still elude them—like how many people are actually stopping into the stores and buying, and who and how many are actually looking at the billboards. Those are the numbers worth real money.
Labels:
analytics,
Halverson Group,
New York Times,
Times Square
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