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‘Top reviews’ can help sway shoppers, but there are limits

Although featured — or top — reviews on e-commerce sites can help cut down on information overload for customers trying to make purchasing decisions, too many such top reviews can pose an overload of their own, according to researchers.

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Although featured — or top — reviews on e-commerce sites can help cut down on information overload for customers trying to make purchasing decisions, too many such top reviews can pose an overload of their own, according to researchers.

In a study of products and product reviews on online retail giant Amazon, the researchers found that top reviews — which are featured reviews that consumers have endorsed as the most helpful — can lead to higher sales and improved customer satisfaction. However, they added that when there are too many featured reviews, their influence can start to wane.

“We found that there is a situation that when there are too many top reviews, you fall right back into the trap where there is just too much information for the consumer,” said Wael Jabr, assistant professor of supply chain and information systems in the Penn State Smeal College of Business. “In this natural experiment we had some products with just three top reviews and others with significantly more. For products with way more top reviews, we saw the value of those top reviews goes away.”

The researchers used data from about 2.2 million reviews of 1,000 products on Amazon, including all review-related information, such as the overall number of reviews and featured reviews of those products. Sentiment of reviews was determined by the rating the customers gave the product. The researchers also tracked the Amazon sales ranking of the studied products over a 10-month period.

The effectiveness of the top reviews was based on how the performance of individual products changed over time. Specifically, the researchers looked at how the reviews started to disperse in their ratings and how the product sales rank changed. 

The study was published in Management Information Systems Quarterly.

According to Jabr, e-commerce sites chose to feature reviews because popular products tended to attract numerous reviews. The number of reviews for some of these products can be staggering, he added.

“For example, when Amazon put out the Echo Dot smart speaker, more than a million customers reviewed that product within the first four years of its release,” said Jabr. “So, do we need a million reviews to make a good decision on what to buy? Probably not. At a certain point, then, companies started to realize there is an overload that customers will face when we have to navigate this content. Retailers eventually came up with a variety of ways to kind of help you navigate this content, one of which is featuring reviews.”

Sentiment match

The researchers also found that the influence of top reviews is strengthened when their opinions tend to match the overall sentiment of the other reviews.

“When you look at the reviews, Amazon shows you the overall ratings of the reviews — for example, how many people gave it a four-star rating, or, how many people gave it a two or three, etcetera,” said Jabr. “We wondered, then, if the top review effect can be amplified. And it can. We found that when the distribution of top reviews and the distribution of overall reviews match, then the power of top reviews to influence gains strength. It is almost like there is a confirmation when the top reviews match what the crowd is saying.”

The power of top reviews to lift sales and satisfaction is limited, however, said Jabr, who worked with Mohammad Rahman, associate professor of management at the Krannert School of Management at Purdue University. For example, they found that top reviews lack the power to improve the status of less popular products.

The findings could help companies design better webpages while also helping customers make better decisions, said Jabr.

Selling isn’t enough

“Platforms, such as Amazon, are, of course, in the business of selling stuff, but selling stuff alone is not enough,” said Jabr. “Platforms want consumers satisfied with their purchases — and not return those purchases. They also want repeat consumers. In fact, Jeff Bezos himself is quoted saying, ‘We don’t make money when we sell things. We make money when we help consumers make better decisions.’”

The study explores whether there is a certain magic number of reviews as being an optimal amount of top reviews, according to the researchers.

“While the natural experiment does not compare every combination of numbers — for example, two reviews compared to three reviews, or two compared to four — we found that products with three reviews faired better than products with a varying number of reviews ranging from four to 10,” said Jabr. 

In addition to being thoughtful about selecting and displaying top reviews on a webpage, the researchers also suggest that, at a certain point, companies should switch from encouraging customers to review products to asking them to endorse reviews.

“Retailers often default to sending you an email saying, ‘Please rate our product,’ which we think is great,” said Jabr. “But when there are enough reviews, they may want to find a way to nudge the customers to decide on top reviews because that’s going to be much more valuable then writing one more review.”

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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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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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Reversible words can lower consumer disbelief in ads

A simple word choice in marketing messages can significantly impact how confident consumers feel about believing – or not believing – a claim.

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It’s estimated that consumers experience hundreds if not thousands of marketing messages daily. While the exact number can depend, how much someone believes the message can be more important for marketing success than the number of messages they see. 

A new study reveals that a simple word choice in marketing messages can significantly impact how confident consumers feel about believing – or not believing – a claim. Researchers found that when words differ in their “reversability,” or how easily people can think of their opposites, it can trigger different mental processes when consumers evaluate marketing language. 

Imagine the messaging options for a new sunscreen designed specifically for those who like a strong scented product. The first product description reads, “The scent is prominent,” while the second notes, “The scent is intense.” The word “prominent” is uni-polar, meaning people tend to negate it by adding “not” to the original statement.

“Intense,” though, is a bi-polar word, meaning readers can easily come up with its opposite meaning and negate the statement by replacing it with its antonym. In this example, “The scent is mild,” instead of, “The scent is intense.” 

“When people encounter easily reversible words, like ‘intense’, in messages processed as negations (mild), they experience lower confidence in their judgements compared to words that are hard to reverse, like ‘prominent,’” explained Giulia Maimone, a postdoctoral scholar in marketing at the University of Florida Warrington College of Business. 

Across two experiments of more than 1,000 participants, the research demonstrated that this effect occurs because negations of bi-polar, or reversible, words engage a more elaborate cognitive process requiring additional mental effort, resulting in lower confidence of the statement’s truthfulness. 

Based on their findings, the researchers suggest that marketers take this advice when crafting language: for new products, use affirmative statements with easily reversible words, like ‘The scent is intense’ in the sunscreen example, which most consumers will judge as true with high confidence. Importantly, this language would also minimize the confidence of consumers who will be skeptical about the message, as they will process it via a more complex cognitive process that reduces confidence in those consumers’ disbelief. 

“This simple lexical choice could help companies maximize confidence in their desired messaging and minimize confidence among the doubters,” Maimone explained. 

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