When do you ask for customer reviews? In many cases, sooner may not be better
The lesson for online marketplaces is that it is counterproductive to blindly adopt “faster is better” or “one-size-fits-all” approaches. Instead, companies should reevaluate their current practices and adjust the timing of review reminders to specific consumer target groups in order to elicit more consumer feedback.
Researchers from University of Nevada Las Vegas, Shanghai Jiao Tong University, Arizona State University, and KAIST College of Business published a new Journal of Marketing article that examines when is the right time for businesses to send review reminders to customers. The study is titled “Ask for Reviews at the Right Time: Evidence from Two Field Experiments” and is authored by Miyeon Jung, Sunghan Ryu, Sang Pil Han, and Daegon Cho.
Popular websites such as TripAdvisor, Hotels.com, and Booking.com send notifications to customers immediately following checkout, requesting reviews about their recent experience and other feedback. Many firms send automated emails or mobile push notices after a purchase to learn about customers’ recent experiences with the product. This raises the important question: When should companies send out review requests?
The research team examines how the timing of review reminders affects the likelihood and quality of product review postings. Issuing review reminders immediately or shortly after purchase of a product or vacation experience may threaten a consumer’s freedom and prompt an adverse reaction. Therefore, some companies send review requests at a later point to revive customers’ memory of their experience.
“Consumers’ reactions and memories are influenced by the temporal distance between a product experience and reminder. The likelihood of writing a review decreases as time passes because consumers’ recall becomes blurry. This is more of a reason for companies to find the fine balance between asking for reviews too soon and waiting too long, both of which affect the quality of reviews,” says Jung.
Sooner Is Not Necessarily Better
The researchers performed two randomized field experiments with over 300,000 consumers from online marketplaces offering different types of products. The first experiment involved consumers from South Korea’s largest online travel marketplace where consumers can book flights, hotels, and guided tours using the company’s website or mobile app. Four distinct timing classifications for review reminders were used: next day, five-day, nine-day, and 13-day intervals after the product experience. Consumers were randomly assigned to the treatment group (which received a review reminder) or control group (which did not receive a reminder) for each timing classification.
The second field experiment studied consumers in a major South Korean online apparel marketplace. Four distinct timing classifications were again used, but with different time intervals than the first experiment. Across both experiments, the team investigated the temporal effects of review reminders on the quality of the reviews.
Ryu states that “Our findings demonstrate that requesting a review as soon as possible is not the best strategy. We find that reminders cause problems when they are sent faster than the number of days it takes, on average, for customers to write a review.” For example, if a customer orders clothing online, it is too early to send a review reminder the day the product is delivered because people need sufficient time to try the item on and evaluate its quality.
Lessons for Chief Sales Officers
Even though the standard for when it is too early may vary by product type and customer heterogeneity, it may be acceptable to send an early reminder in the case of search goods (e.g., paper towels, bottled water, and canned soups) because consumers have a clear understanding of the products and a high degree of certainty that it will be useful after an initial trial. In contrast, for experience goods (e.g., restaurants, beauty salons, travel), it may be prudent to provide consumers enough time to evaluate the product before sending a review reminder.
“Our results indicate that overly quick reminders are particularly detrimental for businesses with young consumers,” says Han. For example, Generation Z has always used digital platforms and is independent and pragmatic. In this sense, prompt reminders may be prone to violating their autonomy and freedom. In other words, the negative impact of an immediate review reminder may be disproportionately greater for younger individuals.
Cho explains that “As for the impact of review reminders on review content, we find delayed review reminders can alleviate the poor quality of delayed reviews. However, except for review specificity, the timing of review reminders has a negligible effect on review content such as ratings, sentiment, or length.” In other words, the content of reviews does not change between those who wrote them after the reminder and those who wrote them without the reminder.
The lesson for online marketplaces is that it is counterproductive to blindly adopt “faster is better” or “one-size-fits-all” approaches. Instead, companies should reevaluate their current practices and adjust the timing of review reminders to specific consumer target groups in order to elicit more consumer feedback.
Now you see me, now you don’t: How subtle ‘sponsored content’ on social media tricks us into viewing ads
People are not as good at spotting them as they think. If people recognized ads, they usually ignored them – but some, designed to blend in with your friends’ posts, flew under the radar.
How many ads do you see on social media? It might be more than you realize. Scientists studying how ads work on Instagram-style social media have found that people are not as good at spotting them as they think. If people recognized ads, they usually ignored them – but some, designed to blend in with your friends’ posts, flew under the radar.
“We wanted to understand how ads are really experienced in daily scrolling — beyond what people say they notice, to what they actually process,” said Maike Hübner, PhD candidate at the University of Twente, corresponding author of the article in Frontiers in Psychology. “It’s not that people are worse at spotting ads. It’s that platforms have made ads better at blending in. We scroll on autopilot, and that’s when ads slip through. We may even engage with ads on purpose, because they’re designed to reflect the trends or products our friends are talking about and of course we want to keep up. That’s what makes them especially hard to resist.”
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The scientists wanted to test how much time people spent looking at sponsored versus organic posts, how they looked at different areas of these different posts, and how they behaved after realizing they were looking at sponsored content. They randomly assigned 152 participants, all of whom were regular Instagram users, to one of three mocked-up social media feeds, each of which was made up of 29 posts — eight ads and 21 organic posts.
They were asked to imagine that the feed was their own and to scroll through it as they would normally. Using eye-tracking software, the scientists measured fixations — the number of times a participant’s gaze stopped on different features of a post — and dwell time, how long the fixations last. A low dwell time suggests that someone just noticed the feature, while a high dwell time might indicate they were paying attention. After each session, the scientists interviewed the participants about their experience.
Although people did notice disclosures when they were visible, the eye-tracking data suggested that participants paid more attention to calls to action — like a link to sign up for something — which could indicate that this is how they recognize ads. Participants were also quick to recognize an ad by the profile name or verification badge of a brand’s official account, or glossy visuals, which caused participants to express distrust.
“People picked up on design details like logos, polished images, or ‘shop now’ buttons before they noticed an actual disclosure,” said Hübner. “On brand posts, that label is right under the username at the top, while on influencer content or reels, it might be hidden in a hashtag or buried in the ‘read more’ section.”
Although the scientists found that the ads often went unnoticed, if people realized that the content wasn’t organic, many of them stopped engaging with the post. Dwell time dropped immediately.
#ad
This was less likely to happen to ads that blended in better, with less polished visuals and a tone and format more typical of organic content. If ad cues like disclosures or call-to-action buttons weren’t noticed right away, they got similar levels of engagement to organic posts.
“Many participants were shocked to learn how many ads they had missed. Some felt tricked, others didn’t mind — and that last group might be the most worrying,” said Hübner. “When we stop noticing or caring that something is an ad, the boundary between persuasion and information becomes very thin.”
The scientists say these findings show that transparency goes well beyond just labelling ads. Understanding how people really process ads should lead to a rethink of platform design and regulation to make sure that people know when they’re looking at advertising.
However, this was a lab-based study with simulated feeds, and it’s possible that studies on different cultures, age groups, or types of social media might get different results. It’s also possible that ads are even harder to recognize under real-life conditions.
“Even in a neutral, non-personalized feed, participants struggled to tell ads apart from regular content,” Hübner pointed out. “In their own feeds which are shaped around their interests, habits, and social circles it might be even harder to spot ads, because they feel more familiar and trustworthy.”
Personalized pricing can backfire on companies, says study
If part of the product’s value depends on how many people are using it, think a social media network or e-commerce platform, not being able to see what others are being charged means consumers are fuzzier about how many people are likely to buy in and join the network.
Personalized pricing, where merchants adjust prices according to the pile of data about a consumer’s willingness to pay, has been criticized for its potential to unfairly drive-up prices for certain customers.
But new research shows that the practice can also hurt sellers’ profits.
Consumers commonly experience personalized pricing through digital coupons or other discount offers they receive either as potential customers or after making a purchase. Other recent examples include the practice of “Buy Now, Pay Later” plans that bundles the sale of a product with a subsidized loan, which can offer different prices to different customers based on their willingness to pay, and airlines using artificial intelligence to customize prices for individual airfares.
Companies can tweak their prices according to data about a customer’s digital footprint, including their buying preferences, location, lifestyle and even what kind of digital device and operating system they use—all in pursuit of squeezing maximum profit out of the buyer.
The downside though, says Liyan Yang, a professor of finance and the Peter L. Mitchelson/SIT Investment Associates Foundation Chair in Investment Strategy at the University of Toronto’s Rotman School of Management, is that this practice typically obscures the price information available to other consumers, an important factor in their decision to buy.
When prices are transparent to everyone and they’re low, “you know that on average, more people will be buying,” says Prof. Yang.
But if part of the product’s value depends on how many people are using it, think a social media network or e-commerce platform, not being able to see what others are being charged means consumers are fuzzier about how many people are likely to buy in and join the network.
The upshot? “Consumers are going to spend less,” says Prof. Yang.
The researcher put those ideas under a theoretical microscope when he and former Rotman PhD student Yan Xiong, who is now an associate professor at University of Hong Kong Business School, used mathematics and game theory to model what happens when consumers can’t see what other people are being charged for a network-based product. Their models revealed that a company ultimately charged more when prices were concealed compared to when they were transparent, leading to lower profits.
Luckily for companies, there are workarounds. Using similar modelling, the researchers found that the profit pitfall could be avoided through some kind of corporate commitment or backstop related to keeping prices low even as a company also pursued profits.
That could be done by the company committing to keep prices within a certain range or at least to lowering prices through a corporate social responsibility program, by developing a good reputation among consumers, by initially offering low prices that are transparent to attract consumers with a lower price threshold, or through the use of price caps either mandated by government or voluntarily adopted by the company.
Another option is for a government to require companies to charge the same price to all customers, a strategy promoted in China, the European Union and the United States where personalized pricing practices have become an issue.
While companies typically dislike regulation, Prof. Yang points out that theoretically at least, some form of price restriction may lead to better corporate profits in the end.
“There are trade-offs,” he says, adding that regulators would have to “gauge precisely” where the limits should be to hit the pricing sweet spot that optimizes profits to the company.
The study appeared in the Journal of Economic Theory.
Time plays a key role in consumer behavior, especially concerning the purchasing patterns of vulnerable groups in society who have been ridiculed in offensive and discriminatory ads. Ben-Gurion University researcher Dr. Enav Friedmann examined the long-term reactions of consumers from discriminated groups after exposure to offensive advertising. Such advertising often manifests in marketing messages that demean excluded groups, reinforce harmful stereotypes, or cross social norms.
Their findings were published last month in Psychology & Marketing. Dr. Friedmann is a member of the Department of Business Administration at Ben-Gurion University of the Negev. She is the head of the LBM research lab, which focuses on marketing,
“The social and psychological implications of such advertisements are profound,” explains Dr. Friedmann. “Socially, they normalize prejudice, perpetuate stereotypes, and undermine efforts to achieve equality. We decided to examine these conflicts of social identity combined with consumer behavior. This is a topic that hasn’t been researched enough, but it has significant implications for individuals, groups, and businesses in society.”
The Study’s Approach
To this end, three independent experiments were conducted. They examined the impact of exposure to insulting advertisements or those excluding vulnerable groups (women and people of color) at two time points: immediately upon exposure to the ad, and then 10 days or a month later.
The offensive ads were designed to be inspired by authentic advertisements from companies, which contained offensive content toward women and people of color. A total of 640 women and men, both light-skinned and dark-skinned, participated in all the experiments and answered questions related to the brand and their personal feelings.
Key Findings
In the first experiment, a hypothetical ad for a body soap brand called “BubbleSoap” was presented, with a racist implication toward people of color. A dark-skinned family was shown in the ‘before’ image and a light-skinned family in the ‘after’ image. It was found that dark-skinned participants who felt their ethnic group was severely discriminated against, and tended to identify less with their group, showed a higher purchase intention for the BubbleSoap brand ten days later compared to participants who did not feel their ethnic group was discriminated against.
The second experiment involved an offensive advertisement toward women for a real brand. Participants were randomly exposed to either non-offensive sexist ads or offensive sexist ads. The offensive version was identical but included the text: “Women, I’m sick of you! I get tired of all of you so quickly,” with the well-known tagline below: “You’re not you when you’re hungry.” This ad was inspired by real candy bar ads that mock the idea of men respecting women and aggressively disparage women under the guise of sarcastic humor.
After about a month, it was found that women who identified their gender group as significantly discriminated against, and tended to identify less with the female group, were more likely to choose the brand that offended their group. The choice was made at each time point by choosing between three chocolate brands. Of course, the respondents’ initial preference for the offensive brand was considered.
In the third experiment, neurological measurements were taken using an EEG device in a lab experiment for a construction company. Participants were randomly exposed to either offensive or non-offensive sexist ads. The offensive version included the text: “She thinks she understands… In big decisions, don’t let her decide!” Participants were asked to describe their feelings toward the brand at two points in time. The researchers measured the activation of the participants’ right and left frontal brain regions during a brand feeling task. After ten days, among women who identified their group as significantly discriminated against, and tended to identify less with the female group over time, increased activity was found in the left frontal areas (compared to the right) of the brain. These areas are known in the literature to indicate a desire to approach a stimulus.
Photo by Marcus Herzberg from Pexels.com
The Paradoxical Phenomenon
The findings revealed a paradoxical phenomenon: participants who reported high levels of perceived discrimination against their group, and over time tended to identify less with the offended group, actually showed an increasing preference for the brand that insulted their group. This was measured through purchase intention, actual product choice, or brain responses indicating an approach toward the brand.
This phenomenon aligns with theories of disidentification, a process in which individuals from vulnerable groups come to understand the long-term consequences of harm to their group (reduced self-esteem and group-esteem).
Those who feel their group is significantly discriminated against and tend to reduce their identification with the group in order to protect their sense of self-esteem, tend to do so by approaching the object that harmed their group over time.
“The research findings deepen our understanding of how identity threats affect responses in advertising contexts and highlight the ethical considerations brands must address when formulating campaigns,” explains Dr. Friedmann. “This research delves into the psychological complexity of identity regulation as a result of exposure to threatening content for consumers.”
Implications and Recommendations
The study results do not suggest that offensive-discriminatory advertising is an effective marketing strategy. Most participants exposed to this content did not demonstrate more positive attitudes or behaviors than those in the control group; rather, it was a specific limited group of people who reacted positively to it. On the contrary, such advertisements can exact a significant psychological toll on individuals belonging to discriminated groups. These findings reinforce the importance of adopting an ethical approach to identity-based marketing and avoiding tactics that exploit social vulnerability for strategic profit.
In accordance with the study’s findings, the researchers recommend adopting an approach that involves enforcement and clear criteria to prevent harm to various population groups.
“Enforcement against offensive and discriminatory marketing is essential to protect the well-being of individuals and foster a more egalitarian society. As a society, we must develop specific criteria for controlling offensive advertisements, as is customary in the UK, and impose significant financial penalties on those who violate them,” concluded Dr. Friedmann.
The Research Team
The research team included: Eliran Solodoha from the Peres Academic Center, Sandra Maria Correia Loureiro from the University of Lisbon, and Lior Aviali, LBM Lab Manager, from Ben-Gurion University of the Negev.