Trend: The pandemic has widened the gulfs between different consumer segments by geography, income and education. -------- Strategy: Retailers must abandon old, static targeting models in favor of more agile approaches that can make speedy and drastic changes in segmentation to appeal to increasingly disparate groups of consumers.
The new ways of living and spending that consumers have adopted due to the pandemic are not uniform across the demographic spectrum. Retailers therefore need to understand whose behaviors have shifted and whose habits have remained relatively stable. One of the most impactful changes in behavior has been in how and where people work. According to a recent survey by the US Census Bureau, 36% of US households had at least one adult substitute some or all of their typical in-person work for telework because of the coronavirus pandemic. The new homebody consumer is likely here to stay—in some demographic groups. In the US, there is a strong correlation between a shift to working from home and education level, and consumers’ propensity to work from home has not been reduced recently even as virus cases decrease (see Figure 3). Figure 3. Education Level of US Adults That Substituted Some or All of Their Typical In-Person Work for Telework Because of the Coronavirus Pandemic (% of Households) [caption id="attachment_125362" align="aligncenter" width="710"] Source: US Census Bureau[/caption] In all three survey iterations, individuals with bachelor’s degrees or higher were more than three times as likely to be working from home at least part time due to the pandemic than their peers with a high school education or less. Similar discrepancies play out along income boundaries (see Figure 4), and consumers are still working from home even as vaccination efforts gain steam. Beyond the expected bifurcation of work status based on income, consumers in large metro areas are also significantly more likely to have the opportunity to work from home. The distinction between large urban areas and other regions of the country grows clearest in high-income consumers: A roughly 10-percentage-point gap in ability to work from home appears in consumers earning over $100,000 in large metro areas versus those elsewhere in both survey iterations. That is the equivalent of an extra 4.4 million consumers working from home in these major metro areas than would be if those urban areas followed the same work patterns as the rest of the country. Figure 4. US Households with Adults That Substituted Some or All of Their Typical In-Person Work for Telework Because of the Coronavirus Pandemic, Late January 2021 (Left) vs. Early March 2021 (Right) (% of Households) [caption id="attachment_125363" align="aligncenter" width="710"] Source: US Census Bureau/Coresight Research[/caption] Regional differences have also manifested themselves: The Northeast and West Coast have seen the most consumers switch to working from home—perhaps unsurprisingly, given that virus-related restrictions have been strongest in these areas. These state-by-state variations in working from home are illustrated in the figure below. Figure 5. US Households Reporting At Least One Member Working from Home At Least Part Time as a Result of the Pandemic, by Geography, as of Late February 2021 (% of Households) [caption id="attachment_125364" align="aligncenter" width="720"] Source: US Census Bureau/Coresight Research[/caption] While it has always been important for retailers to segment their consumer base by demographic factors, the pandemic has further widened the differences in behaviors. Retailers can succeed by tailoring their offline approaches to different consumers in different areas. Consumers in wealthy areas are likely to trade up to higher-priced products, while consumers hit hard by the pandemic in lower-income areas are likely to seek affordable options. In major urban areas, retailers can also expect to see sustained demand for home goods as consumers continue to work remotely; in other areas, retailers will do well to revert to certain pre-crisis strategies, as more consumers return to the workplace and spend more time outside of the household. Online, retailers must leverage consumer data to ensure they can create agile, targeted online experiences. As the US consumer base grows increasing disparate and behaviors change more rapidly, static targeting models will be less effective. 2. Target Older ConsumersTrend: Older consumers have moved their shopping and socializing online during the pandemic and are likely to continue to use digital channels post crisis. --------- Strategy: Retailers must adjust online offerings previously tailored to younger consumers to also appeal to older generations with different digital preferences.
While older consumers are often thought of as reluctant to switch spending online, health concerns around the pandemic have changed many older consumers’ attitudes to e-commerce. Older consumers now appear willing to spend online on categories that are traditionally purchased mostly in brick-and-mortar stores, such as grocery. In Coresight Research’s March 1 consumer survey, nearly the same proportion of respondents over the age of 60 reported purchasing groceries online in the prior two weeks as in the 18–29 age group (see Figure 6). Figure 6. US Consumers That Purchased Food or Beverages Online in the Two Weeks Prior to March 1, 2021 (% of Respondents in Each Age Group) [caption id="attachment_125365" align="aligncenter" width="710"] Source: Coresight Research[/caption] According to a study published in 2009 in the European Journal of Social Psychology, it takes just 66 days, on average, for an individual to form a new habit—indicating that pandemic-driven changes in shopping behavior may be embedded for the long term, particularly around habit-based shopping for routinely purchased items such as groceries. Findings from our US Consumer Tracker support this: Our February 1, 2021 survey found that 48.1% of consumers over the age of 60 plan to continue shopping more online across any category after the end of the pandemic, likely because, as a result of shopping digitally out of necessity amid the crisis, they have realized the benefits of convenience that e-commerce provides. Many retailers typically focus on consumers between the ages of 25-45—those who have built up enough spending power to prove immediately valuable, but also have greater lifetime potential value to retailers. This approach may be ill suited for a world in which baby boomers are a growing segment of the population and have a greater propensity to spend than their younger peers. Between 2010 and 2019, consumers aged 60–74 were the fastest growing segment of the population in the US, according to data from the Census Bureau. Each individual member of this growing segment may also be more valuable in the short term than their younger counterparts: Consumers over the age of 65 are by far the least likely to experience any difficulty paying household expenditures in the wake of the pandemic, according to survey findings from the US Census Bureau (see Figure 7). Figure 7. US Consumers: Whether They Found It Difficult To Pay Household Expenses in the Past Seven Days (% of Respondents) [caption id="attachment_125366" align="aligncenter" width="710"] Base: US consumers surveyed between February 17 and March 1, 2021Trend: Consumers are spending more time and money online via an expanding array of platforms. --------- Strategy: Retailers must leverage data-driven approaches to understand where their customers live online and target different online arenas with customized marketing and commerce strategies.
Consumers of all backgrounds are now spending time on a wide variety of streaming and social channels, making it important for retailers to identify where their target consumer base spends their time, in order to optimize their marketing spend. Few platforms illustrate the increased time consumers are spending on digital media better than Twitch, the online streaming service owned by Amazon. Since January 2020, both the total number of hours watched on Twitch and the average number of concurrent viewers on the site have more than doubled, as shown in the figure below. Figure 8. Twitch Average Concurrent Viewers (Left Axis, Mil.) and Total Hours Watched (Right Axis, Mil.) [caption id="attachment_125456" align="aligncenter" width="725"] Source: TwitchTracker[/caption] Typically an arena dominated by “gamers” who tend to skew young and male, Twitch’s audience has grown in size this year, and likely in diversity too. Viewers now have access to a substantially larger array of content than previously: The number of streamers has more than tripled over the past year. The demographics of the user bases of other digital platforms have also diversified. According to a survey we conducted in February 2021, the platform preferences of older consumers differ substantially from the preferences of younger generations, as illustrated by the figure below. Older consumers tend to use Facebook at rates as high or higher than their younger peers but are far less likely to utilize newer platforms such as TikTok. Figure 9. Social Media Platforms That US Consumers Use At Least Once a Month (% of Respondents) [caption id="attachment_125369" align="aligncenter" width="710"] Base: US respondents aged 18+, surveyed February 22, 2021Trend: Consumers’ spending habits were in fluctuation during the pandemic, leading many to try new brands and engage in new shopping behaviors. --------- Strategy: As variance in shopping habits settles, retailers must invest heavily in cultivating communities and building loyalty to lock in the customers they gained during the pandemic.
Now is a key time for retailers to invest in customer retention through the creation of communities, loyalty programs and personalized support to maintain relationships with customers who changed their shopping behaviors and brand preferences at record rates during the pandemic. One-third of US consumers have switched brands across all retail categories since the start of the pandemic, according to Salesforce, and data from early fall indicate that fully 80% of them plan to keep buying from those new brands following the end of the pandemic. Retailers and brands must work to ensure they can retain the interest and spending of consumers who have switched to their products during the pandemic—it is no given that these consumers will stick with their changed preferences otherwise. Below, we discuss three ways in which brands and retailers can ensure retention of newly acquired customers—and ideally attract back some of the shoppers they lost. Create communities Retailers and brands should look to create a sense of family and community among their customers. NIKE has successfully pivoted to a direct-to-consumer approach, in part through its ability to bring customers together via its owned platforms. NIKE has invested heavily in the SNKRS app, where members can get early access to new product releases and come together under the NIKE roof. The company also operates the NIKE running app, which gives consumers the ability to track their workouts and compare their efforts with others. These communities were a key factor in enabling NIKE to grow sales on its digital platforms by 84% in its most recent reported quarter, ended November 30, 2020. Other brands and retailers could also work to foster communities beyond the store to help generate strong brand loyalty. Invest in loyalty programs Loyalty programs are one of the most effective ways to drive attachment and repeat purchases. Successful loyalty programs often go beyond simply offering consumers points for purchases. The North Face has seen success with its VIPeak program, launched in 2013, which offers consumers rewards for completing activities such as attending events, downloading The North Face app and checking in at certain locations. Retailers are also increasingly integrating a broader range of functionalities into their loyalty apps, including payments, digital offers and online ordering. Many are also rolling out paid loyalty programs following the lead of Amazon Prime—Walmart’s September 2020 launch of Walmart+ being a prime example. These comprehensive programs can add value for retailers beyond the simple retention of customers. Retailers are increasingly monetizing data from their loyalty programs through syndicated data sales. Some, led by Kroger, are also leveraging data from loyalty programs to create a 360-degree view of customers to deliver them more personalized offers and experiences. For example, Sephora’s Beauty Insider rewards program collects data—such as hair color, eye color and skin tone—to generate an individual profile for each member and offer personalized recommendations. Furthermore, customers are able to sort product reviews by shoppers who have similar profile characteristics, helping them to make more informed decisions. Sephora employs a targeted marketing strategy based on this data, to increase the probability of customers engaging with the retailer and making a purchase. Emphasize personalized support Consumers have rising expectations for how frequently and personally brands engage with them. In a 2020 survey conducted by Intercom, a US-based customer relationship software company, 73% of customer support leaders worldwide indicated that customer expectations for support are increasing, and consumers are particularly looking for support that makes them feel valued at an individual level and is customized to them. While many retailers typically focus their personalization efforts on marketing, perhaps the most effective way to harness consumer data is to create personalized support systems for existing and potential customers. Some 79% of US consumers believe that personalized service is more important than personalized marketing, according to a 2020 survey by Gladly, a customer service solutions platform. Where consumers tend to grow averse to “creepy” personalized advertising, personalized support tends to make customers feel more valued and can drive repeat purchasing. Retailers and brands should emphasize personalized support across selling channels. Audio electronics brand Sonos has seen success from personally engaging with consumers over social media, not only driving them to be repeat purchasers but also enlisting them as brand ambassadors on social channels. On e-commerce sites, automated chatbots can help retailers leverage consumer data to improve response times to queries and create personalized product recommendations. In-store personalized support is also vital, beyond simply employing motivated, attentive associates. Retailers can see benefits from deploying technology such as virtual and augmented reality (e.g., try-on mirrors) to help consumers have a more customized, personal experience in stores. 5. Rethink the StoreTrend: Consumers are eager to get back to pre-crisis normality and social behaviors. --------- Strategy: Retailers must reimagine the store to be an engaging destination for social consumers by leveraging new technologies to develop immersive physical experiences and integrate offline and online shopping.
While retailers must ensure they understand and appeal to consumers over digital channels, consumers are looking to get back to greater in-person socializing. This means that in the second half of 2021, retailers will face stiffer competition for the dollars of consumers from the service and experience industry than they have over the past 12 months. To continue to ride strong growth, retailers must refocus their efforts on reimagining the store and making it an integral part of consumers’ lives outside the home by creating a seamless omnichannel purchase experience and leveraging new technology to create more engaging in-person experiences. We have already begun to see indications of consumers returning to more normal social behaviors: In our March 8 consumer survey, 48.8% of respondents reported meeting up with friends or family in the prior two weeks, a more than 10-percentage-point increase from just a month prior. Furthermore, since the start of the year, the proportion of consumers reporting in our weekly survey that they are avoiding restaurants and bars has decreased by more than 20 percentage points since the beginning of the year, as shown in Figure 11. Figure 11. US Consumers Who Are Avoiding Restaurants and Bars, 2021 (% of Respondents) [caption id="attachment_125371" align="aligncenter" width="710"] Base: US consumers aged 18+