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New way to rearrange store products could boost impulse buying

“What’s new here is that we designed our model so that customers walking down an aisle they normally peruse will notice products they will likely be interested in based off associations with what was there before.”

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A data-based method for periodically rearranging products enables retailers to optimize new store layouts based on customer familiarity with where their favorite things used to be. 

The Washington State University-led research leverages past customer transactions to provide brick-and-mortar stores with a degree of the personalized shopping experience online retailers such as Netflix and Amazon use to promote impulse buying. 

“What’s new here is that we designed our model so that customers walking down an aisle they normally peruse will notice products they will likely be interested in based off associations with what was there before,” said Chuck Munson, a professor in the WSU Carson College of Business and corresponding author of a study appearing in Expert Systems with Applications. “Our analysis shows that if you are a store that likes to rearrange periodically this would be a smart way to do it.”

Gihan Edirisinghe, study lead author and a former WSU PhD student now at Western Kentucky University, came up with the idea for the research on a Saturday evening trip to Walmart a few years ago. As he and his wife perused the aisles, they quickly realized something strange was afoot. 

“We found ourselves walking the aisles we normally do but all our stuff had moved.” he said. “So, I started wondering if the Walmart folks had put a lot of thought into the rearrangement. When I got home, I checked the literature and it turned out there was a lot of research on one time store rearrangements but literally nothing data-driven on the best way to periodically rearrange products.” 

Edirisinghe discussed his findings with Munson and the two researchers decided to tackle the knowledge gap. They developed and tested a product allocation model that uses data mining techniques to extract profitability and product affinity details from tens of thousands of real customer transactions contained in the Microsoft database ‘Foodmart.’ 

Their model then uses a three-step process to determine ideal product placement for stores that periodically rearrange their wares. 

First, it identifies a store’s most profitable products so they can be placed in highly visible locations. Next, it determines which items tend to be purchased together so they can be placed in a way that customers will notice something interesting next to a planned purchase. Finally, the model utilizes what the researchers call past-aisle impulse to take advantage of customers’ familiarity with where products used to be to determine future store layouts. 

“This last step is designed so that people looking in a familiar place for, say, potato chips will notice something new that our data tells us will interest them,” Edirisinghe said. “Every rearrangement can then be used as the basis for the next. To the best of our knowledge no previous research has considered this effect.” 

Munson and Edirisinghe ran numerical simulations to compare the potential profitability of their new model to previous work on product placement. Their model significantly outperformed allocation methods that rely solely on visual rearrangement as well as other modeling techniques that use data association. 

One important factor they identified that influenced potential profitability was the nature of the retailer’s target market. 

“If it is more like a gas station store next to a freeway where people don’t really have too much familiarity with the layout, we found that a one-time optimization of products was superior to our method of periodic rearrangement because there is no real strong past impulse there,” Edirisinghe said. “However, for a Whole Foods kind of crowd, where there is a higher discretionary income and familiarity with the store layout, our method outperformed one-time optimization.”

Moving forward, the researchers said their hope is that their study will attract enough interest from commercial retailers to put their method to a real-life test. 

“Our allocation method could ultimately be something that store managers could install and use with a little training,” Munson said. “When you take into consideration the fact that 80% of shoppers don’t make a list before visiting a brick-and-mortar retailer, it is easy to see how important something like this could be to maximizing profits and helping physical stores compete with online retailers.” 

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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Strategies

Claiming your business page on review platforms can have unintended effects on customer reviews, study shows

Claiming a page signals to the public that the owner is present, paying attention and potentially available to address complaints. That shift in perception encourages dissatisfied customers – who otherwise might have stayed silent – to voice concerns, seek remedies or demand accountability through the review platforms. 

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Claiming a business page on an online review platform such as Yelp may result in a sharp decline in ratings and an increase in lengthy, negative customer feedback, according to a study from Florida International University. 

The study, led by Jong Youl Lee, assistant professor of information systems and business analytics at FIU’s College of Business, finds that once a business claims its Yelp page, its average rating falls by more than 10%, driven largely by an influx of one-star reviews and a decrease in five-star reviews. The shift is immediate and persistent, lasting more than a year after the claim date. The study was published in Information Systems Research.  

The likelihood of a one-star review rises by nearly 10% as well. These lowest-rated reviews also become substantially longer, with customers directly addressing owners or managers about service failures. An analysis of reviews shows a clear increase in negative language and a decline in positive sentiment. 

The reason, the researchers say, is rooted in consumer psychology. Claiming a page signals to the public that the owner is present, paying attention and potentially available to address complaints. That shift in perception encourages dissatisfied customers – who otherwise might have stayed silent – to voice concerns, seek remedies or demand accountability through the review platforms. 

“When customers see the page is claimed, they believe the owner is watching,” Lee said. “That motivates very unsatisfied customers to write reviews they otherwise might not have written, and they tend to be more critical and more detailed.” 

Many review platforms, including Yelp, TripAdvisor, and Yellow Pages, offer business owners the option to claim their pages, which can provide features such as photo control, basic analytics and the ability to respond to reviews. But Lee’s research suggests these perks may come with hidden costs, particularly for small, resource-constrained businesses. 

“Claiming your business page is not costless, even if it’s free of charge,” Lee said. “Businesses need to be prepared to monitor reviews and respond effectively. If they’re not ready to do this, claiming can actually hurt their reputation.” 

Drawing on a large dataset of newly opened popular restaurants in the nation’s 200 largest metro areas, the team analyzed what happened to ratings before and after a business claimed its Yelp page. Instead of relying on simple comparisons, the researchers looked at what happened before and after business owners claimed their online business pages, comparing owners who did so at different times. Using technology that can analyze and interpret written text, they also examined the review texts to measure shifts in tone and topics, and they conducted an online experiment to confirm how customers interpret the “claimed” badge. 

The implications extend beyond the restaurant industry. Any small business that lacks the staff to monitor online feedback may be vulnerable to the same dynamic, Lee said. 

The takeaway for business owners: claim your page when you are operationally ready. 

“Claiming is the very first step that allows owners to use customer management features as powerful tools for service recovery but only if owners are prepared for what comes next,” Lee said.  

Lee conducted the study with Mikhail Lysyakov and Huaxia Rui, both from the University of Rochester.

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BizNews

For those marketing contents, weekly episode releases drive higher viewer engagement and subscriptions on platforms

Marketing people, pay attention: the drip-style release schedule boosts both engagement and subscription revenue.

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Gradually releasing TV show episodes, rather than offering full seasons all at once for binge-watchers, significantly increases engagement on subscription video-on-demand (SVoD) platforms, leading to substantially higher subscription rates.

This is according to a study that provides the first large-scale causal evidence from a real-world randomized field experiment showing how release strategies shape viewing patterns, content discovery and retention across 84,000 viewers over a five-week randomized trial.

The study, “When Less Is More: Content Strategies for Subscription Video on Demand,” was authored by Miguel Godinho de Matos of Católica Lisbon School of Business and Economics, Samir Mamadehussene of the University of Texas at Dallas and Pedro Ferreira of Carnegie Mellon University.

To conduct their study, researchers made sure that across a five-week randomized field trial conducted with a major multinational telecommunications provider, viewers were assigned to a gradual (drip) release schedule. As a result, they found these viewers were 48% more likely to continue using the platform. They were more likely to return on a weekly basis to explore additional content.

When the researchers studied the all-at-once release of episodes, they found that while this approach initially attracted more binge-watchers who were eager to start a new series immediately after launch, those platform users did not engage with the platform over time in a more sustained way.

“The moment all-at-once viewers finish a fully released show, they often leave the platform,” de Matos said. “A drip schedule keeps viewers engaged for weeks, giving them time to search, browse, and find other shows they enjoy.”

“Releasing episodes slowly creates natural touchpoints that bring viewers back each week,” said Mamadehussene. “Those repeated visits dramatically expand content discovery and strengthen retention.”

When given all-at-once access, drip-release viewers tended to watch fewer episodes the first week, but they did watch significantly more episodes in later weeks. They increased exploration of the platform catalog, and ultimately consumed more total content than those given all episodes upfront.

At the end of the free trial, drip-release users were 1.7% more likely to subscribe, a 48% increase over the all-at-once group’s baseline subscription rate of 3.48%.

To be sure, the study found that this effect varied based on binge-watching preferences. For heavy binge watchers, the lack of immediate access to full seasons reduced engagement, lowering subscription likelihood. These findings help explain why major streamers which popularized binge releases, such as Netflix, have increasingly adopted weekly or hybrid release models.

“Our results show that the drip-style release schedule boosts both engagement and subscription revenue,” said Ferreira. “When it comes to sustaining audience interest, sometimes less really is more.”

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