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Rebuilding retail after the pandemic

To help retailers understand the new normal, Zebra Technologies has identified the pandemic-related industry changes as the 3 Waves. This outlines the recovery process of most retailers, spanning the immediate changes that ensured stability in the early days and the longer-term, strategic changes that will become institutionalized.

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Photo by Kaique Rocha from Unsplash.com

The pandemic has caused a noticeable change in consumer behavior, which in turn necessitates a corresponding change in every retailer’s business processes. As the Philippines reopens its economy, businesses are reassessing their strategies and recovery plans differently. In fact, about 45% of business owners are hesitant to resume their operations, according to a survey by the World Bank, National Economic and Development Authority and Department of Finance.

Retailers are used to reacting to evolving market demands, and they understand that the pandemic’s impact on the industry is likely to be long-lasting, even after a vaccine is found. To help retailers understand the new normal, Zebra Technologies has identified the pandemic-related industry changes as the 3 Waves. This outlines the recovery process of most retailers, spanning the immediate changes that ensured stability in the early days and the longer-term, strategic changes that will become institutionalized.

WAVE 1: MAINTAINING BUSINESS STABILITY

Wave 1 started when global economies began to shut down in early March 2020, and many retailers were forced to stop operations in response to quarantine protocols. Many had to cut back on costs to stay afloat. Those that kept their operations had to optimize resources and labor hours while ensuring employee health and safety.

When panic buying started to strain supply chains in the early months of the lockdown, retailers realized that conventional demand planning models no longer worked. They had to find new ways to meet consumer needs without compromising their employees’ safety or incurring greater costs.

Retailers immediately started investing in technologies that could give them a crystal-clear picture of what was happening within their four walls and their supply chains. Many retailers increased their use of mobile computing and scanning solutions, helping boost their capacity to replenish orders, speed up end-to-end fulfillment and accommodate customers’ basic needs and wants both in-store and online.

Based on the collective feedback from retail leaders and store associates, the biggest lessons during Wave 1 were the importance of:

1.  Real-time operational visibility

Retailers should invest in technologies that improve their capacity and speed in managing their inventory to cope with the demand, while providing them with real-time visibility across the supply chain at the same time.

According to Zebra’s APAC Shopper Study, 88% of retailers agree that maintaining real-time inventory visibility is a significant challenge. And up to 85% say their companies need better inventory management tools to ensure accuracy.

Having access to data on operations in real time will help retailers to address consumer needs immediately and avoid either under- or over-inventory situations. This enables retailers to ensure operational efficiency and business resilience even amid pandemic constraints.

2. Distributing actionable intelligence to store associates and supply chain partners

In any given day, especially during the pandemic, store employees and supply chain partners face challenges in assisting customers. Retailers must provide them with the right tools to attend to customers’ needs by swiftly locating inventory within their stores and knowing how much inventory is left so they can get it replenished. This prevents loss of sales and translates to greater customer satisfaction thereby improving business outcomes.

This is where prescriptive analytics, intelligent automation, wearables and handheld mobile computers become exceptionally handy.

3. Overcommunicating with customers, especially when you aren’t going to be able to deliver what they want on time or at all

When stay-at-home orders were issued, many consumers had to stop going to physical stores and relied solely on online shopping for their groceries and other essentials. Being unable to see store shelves, consumers had to rely on real-time stock inventory information presented on the website or mobile app to know whether an item was available.

According to a study conducted by Nielsen during the Enhanced Community Quarantine, 27% of Filipino consumers switched brands in certain categories because the products from their preferred brands were out of stock. In such cases, the lack of communication about what is available and the inability to provide alternatives to consumers created frustration among consumers. This compromised their trust in the retailers’ capability to meet their demands and needs.

4. Prioritizing worker and customer safety above all else and compensating associates for the risks they’re taking on the front lines

Some retailers provided financial aid to their employees to help them during the pandemic. But beyond the monetary assistance, store associates are more inclined to come to work and give their 100% when they feel they are being taken care of and are physically protected. Employees expected and appreciated efforts by retailers to maintain strict social distancing and sanitization measures, especially during the early months of the quarantine when paranoia about the virus was so high. These measures included frequent disinfection of shared scanning and mobile devices and the investment in “personal” protective wearables. 

WAVE 2: A NEW RETAIL NORMAL

As operations started to stabilize, essential retailers were able to focus on institutionalizing new ways to engage customers with online and in-store experiences. Retail leaders made efforts to get people in and out of stores as quickly as possible. They ensured physical distancing through several measures, such as limiting the number of people allowed in the store at any given time, setting up directional flow lines and installing dividers to prevent contact. Temperature checks, regular disinfection and other cleaning regiments helped provide a safe environment for both shoppers and store associates. 

Even when the pandemic quiets down, retailers will still take precautions to maximize the health and safety of both customers and employees in stores, corporate offices and warehouses. Services such as “buy online, pick up in store” (BOPIS) with curbside pickup options, contactless purchases and increased integration between digital and physical experiences will become the standard means of engaging with customers.

WAVE 3: LONG-TERM TRANSFORMATION

At some level, the long-term transformation in Wave 3 should occur simultaneously with Wave 2. The pandemic is accelerating retail digitization by several years. As retailers prioritize new technologies and solutions to ride the tide of increased online shopping, such new approaches will be part of efforts to ensure retail business viability moving forward.

Retailers have no choice but to accelerate planned efforts to increase product sourcing diversity, leverage intelligent automation and scale e-commerce fulfillment capabilities. As such, businesses should consider prioritizing increased product sourcing diversity, intelligent automation and optimizing last-mile delivery to achieve greater resiliency and backend efficiency.

When demand for certain non-discretionary products spiked as news around COVID-19 broke, Philippines’ Department of Trade and Industry imposed limitations on the purchase of basic commodities to prevent supply shortage. Many retailers, however, have not yet diversified their product sources to a point where backend shortages remain “invisible.”  This reinforces the need for product sourcing diversification to ensure enough supply. 

The combination of artificial intelligence (AI) and robotics can bring data-driven approaches to supplier quality, merchandising, distribution, and logistics and fulfillment, giving retail leaders the insights necessary to maximize value capture. Instead of reacting to external forces and rapid changes in consumer behavior, intelligent automation creates opportunities to operate more proactively.

As the pandemic emphasizes the need to improve e-commerce and logistics capabilities, retailers are realizing the need to enable and optimize last-mile delivery to satisfy customer expectations, reduce marginal costs and improve overall efficiencies. To optimize last-mile delivery, retailers can provide flexible delivery options based on delivery method and location, create a collaborative network with suppliers to maximize visibility on the backend, leverage brick-and-mortar stores as fulfillment centers and use technology to maximize the value of delivery routes. All these will help ensure a safer and more efficient business flow that minimizes the impact of the pandemic while positioning the business for future success.

The pandemic has stressed the need for retailers to reassess their business processes and study the importance of innovation. Understanding the industry and choosing the right combination of solutions will assure business continuity for retailers, and service reliability for their customers. Retailers that can strengthen their digital capabilities and ensure a better online shopping experience will gain end-user trust and encourage more online transactions. This translates to greater business success not just during the pandemic-recovery phase but also in the future.

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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.

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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.”

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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.

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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.

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Have you been offended by a discriminatory or harmful ad? You might just buy the product it’s promoting

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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.

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