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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.

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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

  1. 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.
  2. “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.
  3. 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.

Strategies

Renting out your place? Human connection key to a successful holiday rental

Warmth, friendliness and a sense of belonging, or the “homely” side of the experience, strengthen guest loyalty, making them more likely to return to the same host. However, these feelings alone didn’t necessarily make guests more likely to recommend the property to others.

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Striking up a connection with the property host is the factor that drives repeat bookings on holiday accommodation platforms such as Airbnb.

This is according to a new study, carried out by universities in the UK and Iran and published in the February 2026 edition of International Journal of Hospitality Management, that suggested that quality and value of accommodation also play a part in guest satisfaction, but personal connection is key to people deciding to stay again.

The research analyzed hundreds of online guest reviews and conducted in-depth interviews to understand what shapes guests’ evaluations of their stays in what is known as “peer-to-peer accommodation”.

Conducted over six years, the study shows that guests assess their stays using emotional cues such as warmth, atmosphere, and aesthetics; and cognitive cues such as cleanliness, safety, and convenience.

The study found that warmth, friendliness and a sense of belonging, or the “homely” side of the experience, strengthen guest loyalty, making them more likely to return to the same host. However, these feelings alone didn’t necessarily make guests more likely to recommend the property to others.

In contrast, affective and intellectual experiences – the enjoyment and perceived value of the stay – were stronger predictors of recommendations and positive reviews.

The research also examined how the quality of booking websites, such as Airbnb’s platform, influences guest behaviour. Although the website didn’t change how guests felt about the property itself, a well-designed and trustworthy site directly boosted guest loyalty and word-of-mouth.

Co-author Nektarios Tzempelikos, Professor of Marketing at Anglia Ruskin University (ARU), said: “Guests think carefully about both emotional and practical aspects before booking. Hosts who focus only on one side – either charm or functionality – may be missing the bigger picture.

“Platforms like Airbnb thrive when they’re designed for trust. Guests return to sites that are clear, reliable and easy to use. But it’s not just about tech, it’s about people. The most memorable stays come from warmth, authenticity and genuine local connection.

“By encouraging friendly, personal communication between hosts and guests, and balancing smart technology with a human touch, platforms can create experiences that feel less transactional and more meaningful.”

The study was carried out by researchers from Brunel University, University of Bradford, Newcastle University, Anglia Ruskin University and the University of Tehran.

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BizNews

In-aisle store displays might crowd shoppers and reduce overall sales

Retailers might seek strategies to boost product exposure without also increasing crowding – especially for cart shoppers who may experience greater crowding effects – and that excessive use of in-aisle fixtures will likely dampen sales at the aggregate level rather than increasing it. 

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In a study involving a real-world grocery store, in-aisle displays meant to boost product visibility were in fact associated with reduced sales and purchase-related behaviors, with results amplified for shopping cart users.

Mathias Streicher of Austria’s Department of Management and Marketing presents these findings in the open-access journal PLOS One.

Retailers often place extra product displays directly in aisles in an effort to boost visibility and enhance sales. However, in-aisle displays could increase spatial crowding, which occurs when people feel restricted in their freedom of movement and has been linked with purchase-avoidance tendencies. To help clarify if in-aisle displays result in more purchases, Streicher conducted several experiments with a partnering grocery store.

First, they tracked weekly sales for an aisle containing household, baby and pet staples over a six-week period during which five product-display stands were placed mid-aisle. The stands were then removed for six weeks. Comparison of sales data showed that in fact, sales increased after removal of the in-aisle displays, with the average weekly percentage of total store revenue from that aisle rising from 4.33 to 4.83 percent.

A second in-store experiment in the same aisle showed that people using shopping carts also stopped and physically handled products—behavior previously linked with sales—about 7.05 times more often when in-aisle displays were absent than when they were present. Non-cart shoppers also touched products more often when displays were removed, but the effect was smaller (3.81 times).

Finally, in an online experiment, 200 participants imagined using a shopping cart or basket while viewing photographs of the same aisle from the in-store experiments, with or without in-aisle displays. They tended to rate the aisle with displays as more crowded and reported lower levels of perceived control for aisles with displays than those without, with effects amplified for imagined cart versus basket use.

Together, these findings suggest retailers might seek strategies to boost product exposure without also increasing crowding – especially for cart shoppers who may experience greater crowding effects – and that excessive use of in-aisle fixtures will likely dampen sales at the aggregate level rather than increasing it. 

Further research could address some of this study’s limitations, such as by considering the effects of human crowding, promotional offers on products, and seasonal influences on shopping behaviors.

Streicher adds: “The research shows that adding merchandise into store aisles can actually reduce overall sales by making the environment feel crowded and harder to navigate. Importantly, this negative effect is even stronger for shoppers using carts, as they experience greater spatial constraints and reduced control while shopping.”

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BizNews

Structure of online reviews shapes their helpfulness

Reviews that grow increasingly positive are most helpful to readers, while those that turn negative are least helpful. For average-rated products, progressively negative trajectories enhance helpfulness, whereas reviews that start negative and grow positive are least effective.

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A study of nearly 200,000 Amazon reviews shows that the usefulness of online product reviews depends not only on what is said, but on how the information is structured.

The researchers, from the Universities of Cambridge and Queensland, studied Amazon reviews for products ranging from clothing to food to electronics. They found that how the information is organised matters as much as what is said, and that different review structures are more or less helpful, depending on how highly the reviewer has rated the product.

Their results, published in the journal Scientific Reports, could help companies and third-party review platforms design their review pages to prompt the sort of reviews that will be most helpful to potential customers.

For example, a reviewer assessing a laptop might praise its performance and design while criticising its battery life, so how should such information be structured to be most useful to the reader? Should the review begin with criticism and end on a positive note, or start positively before turning to drawbacks?

“Any target of evaluation typically has both positive and negative aspects, which makes crafting evaluative messages challenging,” said co-author Dr Yeun Joon Kim from Cambridge Judge Business School. “The key question is how to structure these elements within a single message. For example, one might present criticism upfront and then move to praise, or instead integrate negative points within an otherwise positive evaluation. Yet research has paid little attention to this structural dimension.

“We wanted to understand whether certain structures are consistently more effective, or whether their effectiveness depends on the performance of the target being evaluated.”

The study was based on 195,675 reviews of 5,487 distinct products, and assessed performance and related factors, and a helpfulness score as measured by reader votes.

The researchers identified nine possible structures of online reviews ranging from Type A reviews that start positive and become more positive as they go along, to Type I reviews that start negatively and become even more negative – with lots of variance in between.

For highly-rated products, reviews that grow increasingly positive are most helpful to readers, while those that turn negative are least helpful. For average-rated products, progressively negative trajectories enhance helpfulness, whereas reviews that start negative and grow positive are least effective. For low-rated products, reviews are judged most helpful when they open constructively before introducing criticism.

“The results are nuanced but very clear,” said co-author Dr Luna Luan from the University of Queensland, who carried out the research while earning her PhD at Cambridge Judge Business School. “Looking at the overall sentiment of reviews does not fully translate into message effectiveness. It is the broader structure of sentiment – how positivity and negativity evolve throughout the review – that shapes how readers interpret online reviews.”

“Our findings have practical implications for how platforms and companies can design review pages in order to elicit the sort of reviews that will be most helpful to readers based on how highly products are rated,” said Kim. “For example, instead of simply asking ‘Write your review here’, the online review form could instead include micro-prompts that guide how reviewers structure feedback in a way recipients find most helpful.”

The researchers found the most commonly used review styles are not necessarily the most helpful to readers. In particular, for average- and low-rated products, the structures that reviewers tend to adopt often differ from those that readers find most useful.

This mismatch likely reflects different underlying motivations. Reviewers are not always writing to maximise usefulness for others, but may instead be expressing their own experiences, frustrations or emotions – especially when evaluating products of moderate or poor quality. As a result, review writing often serves both as information sharing and as a form of self-expression. This helps explain why widely used review styles do not always align with what readers perceive as most informative or helpful.

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