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McKinsey Survey: US consumer sentiment during the coronavirus crisis

McKinsey on Marketing & Sales
13 May 2021
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McKinsey Survey: US consumer sentiment during the coronavirus crisis

  1. McKinsey & Company 1 We have seen six fundamental shifts to consumer behavior, some of which will have a lasting impact Source: McKinsey & Company COVID-19 US Consumer Pulse Survey 2/18–2/22/2021, n = 2,076, sampled and weighted to match the US general population 18+ years +35% January 2021 year- over-year online credit-card and debit-card penetration increase, as a % of total spend 51% of consumers plan to splurge or treat themselves, some starting immediately and some waiting for COVID-19 to subside 39% of consumers have tried new brands over the course of COVID-19 28% of consumers have invested in new uses of their living space at home +50% vaccinated consumers engaging in usual out-of-home activities vs. those interested in vaccination ~40% of consumers are optimistic about an economic recovery post-COVID-19 4. Continued digital stickiness 2. Signs of spend recovery 5. Rebalancing of homebody economy 6. Evolution of loyalty 3. Vaccination accelerating recovery 1. Steady overall optimism
  2. McKinsey & Company 2 Confidence in own country’s economic recovery after COVID-191 % of respondents 10 14 18 17 32 21 31 20 25 37 43 46 53 59 50 62 52 67 71 61 47 39 30 24 18 17 17 12 4 2 14 45 41 Mixed: The economy will be impacted for 6–12 months or longer and will stagnate or show slow growth thereafter Pessimistic: COVID-19 will have lasting impact on the economy and show regression/ fall into lengthy recession Optimistic: The economy will rebound within 2–3 months and grow just as strong as or stronger than before COVID-19 The United States is more optimistic than European countries but less so than India, China, or Mexico Steady overall optimism 1 Q: What is your overall confidence level surrounding economic conditions after the coronavirus (COVID-19) crisis subsides (i.e., once there is herd immunity)? Rated from 1 “very optimistic” to 6 “very pessimistic.” Bars may not sum to 100% due to rounding. 2.China’s increase in optimism was compared to September instead of November. US India China Brazil Germany UK Spain Italy France Japan 2/18–22 2/20–3/3 2/20–3/8 2/20–3/1 2/23–27 2/23–27 2/23–27 2/23–27 2/23–27 2/24–27 Source: McKinsey & Company COVID-19 Consumer Pulse Survey Mexico 2/20–3/2 0 +9 +9 +3 +6 +13 +1 +7 +4 +3 +5 X Increase in optimism since November 2020, percentage point2
  3. McKinsey & Company 3 Confidence in own country’s economic recovery after COVID-191 % of respondents 13% 16% 14% 15% 16% 16% 16% 15% 15% 20% 18% 17% 18% 19% 21% 17% 17% 14% 13% 14% 43% 45% 45% 47% 46% 48% 48% 52% 52% 49% 49% 49% 47% 46% 46% 46% 45% 44% 46% 45% 44% 39% 41% 37% 39% 35% 36% 33% 34% 32% 33% 34% 36% 35% 32% 36% 39% 42% 41% 41% Apr 20–26 Jun 15–21 Mar 16–17 April 6–12 Mar 20–22 Apr 27– May 3 Apr 13–19 May 4–10 May 11–17 May 18–24 Jun 1–7 Jul 7–12 Mar 23–29 Jul 30– Aug 2 Aug 19–23 Sep 18–24 Oct 23–27 Nov 9–13 Feb 18-22 Mar 30– Apr 5 Mixed: The economy will be impacted for 6–12 months or longer and will stagnate or show slow growth thereafter Pessimistic: COVID-19 will have lasting impact on the economy and show regression / fall into lengthy recession Optimistic: The economy will rebound within 2–3 months and grow just as strong as or stronger than before COVID-19 Optimism regarding US economic recovery has improved since the height of the pandemic, but has remained stable since September Steady overall optimism 1 Q: What is your overall confidence level surrounding economic conditions after the coronavirus (COVID-19) crisis subsides (i.e., once there is herd immunity)? Rated from 1 “very optimistic” to 6 “very pessimistic.” Figures may not sum to 100% because of rounding. Source: McKinsey & Company COVID-19 US Consumer Pulse Survey 2/18–2/22/2021, n = 2,076; 11/9–11/13/2020, n = 2,024; 10/23–10/27/2020, n = 2,021; 9/18–9/24/2020, n = 1,026; 8/19–8/23/2020, n = 2,026; 7/30–8/2/2020, n = 2,024; 7/7–7/12/2020, n = 1,923; 6/15–6/21/2020, n = 2,006; 6/1–6/7/2020, n = 1,966; 5/18–5/24/2020, n = 1,975; 5/11–5/17/2020, n = 2,002; 5/4–5/10/2020, n = 1,993; 4/27–5/3/2020, n = 2,105; 4/20–4/26/2020, n = 1,052; 4/13–4/19/2020, n = 1,052; 4/6–4/12/2020, n = 1,063; 3/30–4/5/2020, n = 1,484; 3/23–3/29/2020, n = 1,119; 3/20–3/22/2020, n = 1,073; 3/16–3/17/2020, n = 1,042; sampled and weighted to match the US general population 18+ years 2020 2021
  4. McKinsey & Company 4 Consumers engaging in “normal” out-of-home activities1 % of respondents Engagement in out-of-home activities has leveled off in recent months, with notable differences by generation and vaccination openness/status Steady overall optimism 33 36 36 36 32 30 27 20 May 24 Jul 12 Feb 22 Sep 24 Nov 13 Jun 21 Oct 27 Aug 23 Overall Cautious Unlikely 33% Vaccinated Interested 54% 29% 22% Baby boomers Gen Z 28% Millennials Gen X 28% 35% 38% Medium ($50K–$100K) Low (<$50K) High (>$100K) 35% 30% 33% ~33% of vaccinated people are doing out-of-home activities ~37% of millennials are doing out-of-home activities By generation2 By income By vaccination adoption3 30–35% of all income groups are doing out-of-home activities 1 Q: Which best describes when you will regularly return to stores, restaurants, and other out-of-home activities? Chart shows those already participating in these activities. 2 Members of Gen Z were born from 1997–2012, millennials from 1981-1996, Gen X from 1965–1980, and baby boomers from 1946–1964. The Traditionalist/Silent Generation is not included due to a low sample size. 3 Category definitions: Vaccinated = “I have already received at least one shot”; Interested = “I am likely / very likely to get vaccinated”; Cautious = “I am somewhat likely / somewhat unlikely to get vaccinated”; Unlikely = “I am unlikely / very unlikely to get vaccinated.” Source: McKinsey & Company COVID-19 US Consumer Pulse Survey 2/18–2/22/2021, n = 2,076; 11/9–11/13/2020, n = 2,024; 10/23–10/27/2020, n = 2,021; 9/18–9/24/2020, n = 1,026; 8/19–8/23/2020, n = 2,026; 7/7–7/12/2020, n = 1,923; 6/15–6/21/2020, n = 2,006; 5/18–5/24/2020, n = 1,975; sampled and weighted to match the US general population 18+ years
  5. McKinsey & Company 5 While most consumers limit out-of-home activities now, they expect to visit friends, shop, and dine out more once COVID-19 subsides Steady overall optimism Out-of-home activities done in the past two weeks1 % of respondents who did activity within last 2 weeks +17 +39 +50 +25 +8 +29 +6 +8 +25 +9 +15 +23 +24 +29 +36 +1 +12 +27 +42 +37 Net intent: 1–15 Net intent: 16–30 Net intent: 31–50 Source: McKinsey & Company COVID-19 US Consumer Pulse Survey 2/18–2/22/2021, n = 2,076, sampled and weighted to match the US general population 18+ years 1 Q: Did you leave your house for the following activities over the past two weeks? Responder % is based on those who previously selected “Yes” to having done the activity once per year prior to the COVID-19 crisis. 2 Q: Once the coronavirus (COVID-19) crisis subsides (i.e., once there is herd immunity), how do you think the amount of time you spend doing the following activities will change relative to how often you did them before COVID-19 began? Possible answers: “I will not do this at all”; “I will do this less often than I did before COVID-19 started”; “I will do this about the same as I did before COVID-19”; “I will do this more than I did before COVID-19.” Net intent is calculated from adding % of respondents stating they will do more or about the same, and subtracting % of respondents stating they will do less or not at all. Net intent post- COVID-192 Net intent post- COVID-192 30 Go to a hair or nail salon Attend an outdoor event Go to the gym or fitness studio Dine at a restaurant or bar Visit a crowded outdoor public place 12 Get together with family 9 10 Go out for family entertainment Attend an indoor cultural event Get together with friends 35 15 30 24 35 13 Use public transportation Shop for non-necessities Work outside my home Travel more than 2 hrs by car Shop for groceries/necessities Use ride-sharing service Go to a shopping mall Travel by train Rent a short-term home Stay in a hotel Travel by airplane 22 50 81 59 25 28 26 22 15 11 Work Shopping Transport/ Travel Social Personal care Entertain -ment
  6. McKinsey & Company 6 Early signs of spend recovery are expected to continue with stimulus checks deployment and consumers’ eagerness to splurge 3. Consumers are eager to spend and splurge 2. Stimulus payments and holiday pull-through have influenced the recovery 1. Spend is fluctuating but showing an upward trend Year-on-year credit-card spend September to February was flat vs. a contraction of 8% during March to August ~15–20% Uplift in spend from stimulus recipients the first weeks after the stimulus payment 51% of consumers plan to splurge or treat themselves, some starting immediately and some waiting for COVID-19 to subside Signs of spend recovery Source: McKinsey & Company COVID-19 US Consumer Pulse Survey 2/18–2/22/2021, n = 2,076, sampled and weighted to match the US general population 18+ years; Affinity Solutions credit-card and debit- card spend data from 2/2019–1/2021; Earnest Research “Impact of Stimulus Payments on Consumer Spending” February 2021 Flat year-on-year spend
  7. McKinsey & Company 7 Spend has shown early signs of recovery in the past six months, aided by holiday pull-through and stimulus payments Signs of spend recovery Year-over-year credit-card spend,1 % Source: Affinity Solutions credit-card and debit-card spend data from 2/2019–2/2021; Earnest Research “Impact of Stimulus Payments on Consumer Spending” February 2021 1 Includes credit-card and some debit-card spending data among banked consumers; does not include cash. Year-over-year growth in monthly sales during current period (2/2020–2/2021) compared to monthly sales in prior period (2/2019–2/2020). 2 Year-over-year spend in March–August 2020 decreased by 8% compared to same period in previous year, whereas September–February remained flat compared to same period in previous year. 3 Year-over-year change in spend for stimulus recipients versus those who did not receive stimulus payments. 10% -6% -18% -9% -6% -5% -3% 1% 2% 1% -2% 3% -4% Feb Mar Apr Jan Jun May Jul Aug Sep Oct Nov Dec Feb First round of stimulus payment Second round of stimulus payment Holiday pull- forward spend Spend is fluctuating but showing an upward trend Stimulus payments and holiday-influenced recovery Those who received stimulus money in April/May and January showed a 15–20% uplift in spend.3 Early holiday shopping in October and November helped support positive growth in those months. Mar-Aug 6 month YoY: –8%2 Sep-Feb 6 month YoY: 0%2
  8. McKinsey & Company 8 Around half of US consumers plan to spend extra to splurge or treat themselves, with notable differences by income and generation Signs of spend recovery Expected leisure spend in 20211 % of respondents who plan to splurge or treat themselves ~51% Plan to splurge or treat themselves 45% Vaccinated Interested 45% Unlikely Cautious 56% 54% Gen X Gen Z 48% Millennials 68% Baby boomers 59% 35% 38% Low (<$50K) Mid ($50K–$100K) High (>$100K) 51% 67% 1 Q: With regard to products and services you will spend money on, do you plan to splurge/treat yourself in 2021? Figures may not sum to 100% because of rounding. 2 Members of Gen Z were born from 1997–2012, millennials from 1981-1996, Gen X from 1965–1980, and baby boomers from 1946–1964. The Traditionalist/Silent Generation is not included due to a low sample size. 3 Category definitions: Vaccinated = “I have already received at least one shot”; Interested = “I am likely / very likely to get vaccinated”; Cautious = “I am somewhat likely / somewhat unlikely to get vaccinated”; Unlikely = “I am unlikely / very unlikely to get vaccinated.” ~67% of millennials By generation2 ~67% of more wealthy households By income ~56% of fully or partially vaccinated people By vaccination adoption3 Source: McKinsey & Company COVID-19 US Consumer Pulse Survey 2/18–2/22/2021, n = 2,076, sampled and weighted to match the US general population 18+ years
  9. McKinsey & Company 9 High-income millennials intend to splurge the most, but intent is also high among Gen Z, all millennials and higher-income Gen X Signs of spend recovery >70% <30% 50–70% 30–49% 32% 50% 53% 29% 51% 66% 63% 34% 65% 82% 66% 46% 1 Q: With regard to products and services you will spend money on, do you plan to splurge/treat yourself in 2021? Figures may not sum to 100% because of rounding. 2 Members of Gen Z were born from 1997–2012, millennials from 1981-1996, Gen X from 1965–1980, and baby boomers from 1946–1964. The Traditionalist/Silent Generation is not included due to a low sample size. Source: McKinsey & Company COVID-19 US Consumer Pulse Survey 2/18–2/22/2021, n = 2,076, sampled and weighted to match the US general population 18+ years Expected leisure spend in 20211 % of respondents who plan to treat themselves or splurge ~51% Plan to splurge or treat themselves Gen Z Millennials Gen X Generation2 Mid Low High Baby boomers Household income ($50–$100K/year) (<$50K/year) (>$100K/year)
  10. McKinsey & Company 10 This extra spend is expected across categories, and more than half of consumers plan to treat themselves before COVID-19 subsides Signs of spend recovery Expected leisure categories on which people plan to splurge or treat themselves in 20211 % of respondents who plan to splurge or treat themselves 46 44 43 37 32 30 28 28 27 Out-of-home entertainment Restaurants, dining out, bars ​Apparel, shoes, accessories Travel, lodging, vacation Beauty & personal care Electronics Items for your home Household essentials Fitness, sports, outdoors Trigger for when people plan to splurge or treat themselves2 % of respondents who plan to splurge or treat themselves on that category 24 16 32 29 32 37 15 26 20 22 26 23 26 21 20 27 22 28 15 13 13 12 14 10 14 18 17 40 45 32 34 33 34 44 34 36 Anytime Family is vaccinated Govt restrictions lifted / COVID-19 stops spreading I am vaccinated 1 Q: You mentioned that you plan to splurge/treat yourself in 2021. Which categories do you intend to treat yourself to? Please select all that apply. 2 Q: Which best describes when you will most likely splurge/treat yourself? Figures may not sum to 100% because of rounding. Source: McKinsey & Company COVID-19 US Consumer Pulse Survey 2/18–2/22/2021, n = 2,076, sampled and weighted to match the US general population 18+ years
  11. McKinsey & Company 11 -80 -20 -10 -30 -70 0 -60 -50 -40 10 20 Jun 21 Mar 22 Apr 19 Jun 7 Mar 17 Mar 29 Apr 5 Jul 12 Apr 12 Apr 26 May 3 May 10 May 17 May 24 Aug 2 Aug 23 Oct 23 Sep 24 Nov 9 Feb 22 Expected spending per category over the next two weeks compared to usual1 Net intent2 While net intent for discretionary spend is still negative, spend intent has recovered steadily since April 2020 Signs of spend recovery ​Personal-care products Groceries Household supplies Skin care & makeup Consumer electronics Fitness & wellness Apparel International flights Domestic flights Out-of-home entertainment Source: McKinsey & Company COVID-19 US Consumer Pulse Survey 2/18–2/22/2021, n = 2,076; 11/9–11/13/2020, n = 2,024; 10/23–10/27/2020, n = 2,021; 9/18–9/24/2020, n = 1,026; 8/19–8/23/2020, n = 2,026; 7/30–8/2/2020, n = 2,024; 7/7–7/12/2020, n = 1,923; 6/15–6/21/2020, n = 2,006; 6/1–6/7/2020, n = 1,966; 5/18–5/24/2020, n = 1,975; 5/11–5/17/2020, n = 2,002; 5/4–5/10/2020, n = 1,993; 4/27–5/3/2020, n = 2,105; 4/20–4/26/2020, n = 1,052; 4/13– 4/19/2020, n = 1,052; 4/6–4/12/2020, n = 1,063; 3/30–4/5/2020, n = 1,484; 3/23–3/29/2020, n = 1,119; 3/20–3/22/2020, n = 1,073; 3/16–3/17/2020, n = 1,042; sampled and weighted to match the US general population 18+ years 1 Q: Over the next two weeks, do you expect that you will spend more, about the same, or less money on these categories than usual? Figures may not sum to 100% because of rounding. 2 Net intent is calculated by subtracting the % of respondents stating they expect to decrease spending from the % of respondents stating they expect to increase spending.
  12. McKinsey & Company 12 Consumers indicate they will spend extra on travel and mobility, out-of-home entertainment, and restaurants after the pandemic Signs of spend recovery 1 Q: Over the next two weeks, do you expect that you will spend more, about the same, or less money on these categories than usual? 2 Q: Once the COVID-19 crisis subsides (i.e., once there is herd immunity), do you expect that you will spend more, about the same, or less money on these categories than during the COVID-19 pandemic? 3 Net intent is calculated by subtracting the % of respondents stating they expect to decrease spending from the % of respondents stating they expect to increase spending. Source: McKinsey & Company COVID-19 US Consumer Pulse Survey 2/18–2/22/2021, n = 2,076, sampled and weighted to match the US general population 18+ years –15 to 0 Below –15 Above +1 Below 0 Above +25 +15 to +25 0 to +15 Net intent3 Post- COVID-19 Next 2 weeks Evolution Groceries/food for home 11 17 Household supplies 6 4 Tobacco products & smoking supplies -4 -3 Food takeout & delivery -10 -10 Meal at quick-service restaurants -6 -13 Toys & baby supplies -1 -15 Personal-care products 4 0 Jewelry -13 -35 Meal at restaurant 13 -27 Apparel 0 -32 Kitchen & dining -4 -21 Footwear -4 -31 Skin care & makeup 0 -21 Home decor & furniture -7 -32 Home improvement & gardening supplies 8 -17 ​Sports/outdoors equipment & supplies 0 -26 Accessories (e.g., handbags, sunglasses) -7 -35 Net intent3 Next 2 weeks Post- COVID-19 Evolution Pet food & supplies 2 5 ​Vitamins, supplements, OTC medicines 1 7 Domestic flights -40 14 Hotel/resort stays -42 10 Adventures & tours -27 18 Entertainment out of home -32 16 Pet-care services -9 3 Fitness & wellness services (e.g., gym) -12 8 Personal-care services (e.g., hair salon) -19 4 Gasoline 1 25 Short-term apartment or house rental -29 13 Cruises -21 18 Travel by car -16 21 International flights -26 20 ​Books, magazines, newspapers -11 -4 Consumer electronics -30 -5 Entertainment at home 1 0 Vehicles -15 -3 Expected spending per category over the next two weeks1 compared to post-COVID-192 % of respondents
  13. McKinsey & Company 13 Vaccinated people are more confident that their routines and finances will return to normal by the end of 2021 Vaccination accelerating recovery 34 36 26 32 52 42 42 39 71 78 86 68 7 4 12 27 68 66 52 40 Vaccinated 67 Unlikely Interested Cautious 75 64 70 Already back to normal By Dec 2021 Overindexed on rural consumers vs all respondents (index 116) 1 Q: When do you expect your routines will return to normal? Figures may not sum to 100% because of rounding. 2 Q: When do you expect your personal/household finances will return to normal? Figures may not sum to 100% because of rounding. 3 Q: How likely are you to get the coronavirus vaccine once it is made available to you? Rated from 1 “not at all likely” to 6 “very likely,” including “I have received the first dose of the vaccine (partially vaccinated)” and “I have already received both doses of the vaccine (fully vaccinated).” Bars may not sum to 100% due to rounding. Respondents who stated “very likely” (6) and “likely” (5) are considered “interested”; respondents who stated “somewhat likely” (4) or “somewhat unlikely” (3) are considered “cautious”; respondents who stated “unlikely” (2) or “very unlikely” (1) are considered “unlikely.” Source: McKinsey & Company COVID-19 US Consumer Pulse Survey 2/18–2/22/2021, n = 2,076, sampled and weighted to match the US general population 18+ years Expectations on routines returning to normal1,3 % of respondents Expectations on finances returning to normal2,3 % of respondents
  14. McKinsey & Company 14 Vaccinated consumers are beginning to return to out-of-home activities and spend at near pre-pandemic levels Vaccination accelerating recovery Already engaging in out-of-home activity2 Vaccination status1 1 Q: How likely are you to get the coronavirus vaccine once it is made available to you? Rated from 1 “not at all likely” to 6 “very likely,” including “I have received the first dose of the vaccine (partially vaccinated)” and “I have already received both doses of the vaccine (fully vaccinated).” Bars may not sum to 100% due to rounding. Respondents who stated “very likely” (6) and “likely” (5) are considered “interested”; respondents who stated “somewhat likely” (4) or “somewhat unlikely” (3) are considered “cautious”; respondents who stated “unlikely” (2) or “very unlikely” (1) are considered “unlikely.” 2 Q: Which best describes when you will regularly return to stores, restaurants, and other out-of-home activities? Chart shows those already participating in these activities. 3 Q: Over the next 2 weeks, do you expect that you will spend more, about the same or less money on these categories than usual? 4 Net intent is calculated by subtracting the % of respondents stating they expect to decrease spending from the % of respondents stating they expect to increase spending. It is then multiplied by the % of people who respond as typically purchasing in that category, to effectively weight the average across categories. Source: McKinsey & Company COVID-19 US Consumer Pulse Survey 2/18–2/22/2021, n = 2,076, sampled and weighted to match the US general population 18+ years 19% 11% 24% 28% 15% 12% 33% 30% Net spend intent next 2 weeks over usual3 Spend Less Spend more Spend the same 33% 22% 29% 54% Net intent4 -4 -13 -20 -19 27% increase in net intent to spend in next 2 weeks for those vaccinated vs those interested in vaccination 50% more vaccinated consumers say they are engaging in usual out-of- home activities vs those interested in vaccination Vaccinated Interested Cautious Unlikely
  15. McKinsey & Company 15 Although still cautious, vaccinated consumers have engaged in more out-of-home activities than ‘vaccine interested’ consumers Vaccination accelerating recovery Out-of-home activities done in the past two weeks by those vaccinated1 % of respondents who did activity within last 2 weeks 17 Get together with family Go to the gym or fitness studio Dine at a restaurant or bar Attend an outdoor event Go out for family entertainment Visit a crowded outdoor public place 35 Attend an indoor cultural event Go to a hair or nail salon Get together with friends 39 23 18 18 32 32 25 Use public transportation Shop for groceries/necessities Travel more than 2 hrs by car Shop for non-necessities 24 Work outside my home Travel by train Go to a shopping mall Use ride-sharing service Rent a short-term home Travel by airplane 25 Stay in a hotel 62 80 18 56 33 36 23 22 17 Increase over those interested in being vaccinated2 1.3x 1.1x 1.0x 1.6x 1.4x 1.5x 1.0x 2.0x 2.4x 1.6x 1.7x Work Shopping Transport/ Travel Social Personal care Entertain -ment 2.6x 1.8x 2.7x 1.3x 2.9x 1.2x 1.4x 1.0x 1.2x 1 Q: Did you leave your house for the following activities over the past two weeks? Showing respondents who selected “yes” and also reported as being at least partially vaccinated. The responder base is comprised only of those who have answered as having done the activity at least once per year prior to COVID-19. 2 Increase in having done the activity is determined between those who indicate being at least partially vaccinated and those who indicate as only “interested” in being vaccinated. Increase: Below 1x Increase: 1x Difference: 2x+ Source: McKinsey & Company COVID-19 US Consumer Pulse Survey 2/18–2/22/2021, n = 2,076, sampled and weighted to match the US general population 18+ years Increase over those interested in being vaccinated2 Increase: 1.1–1.9x
  16. McKinsey & Company 16 -2% 1 Net intent is calculated by subtracting the % of respondents stating they expect to decrease spending from the % of respondents stating they expect to increase spending. 2 Q: Over the next 2 weeks, do you expect that you will spend more, about the same or less money on these categories than usual? Source: McKinsey & Company COVID-19 US Consumer Pulse Survey 2/18–2/22/2021, n = 2,076, sampled and weighted to match the US general population 18+ years Footwear -20% -31% Apparel -28% -31% Home improvement & gardening supplies -5% -17% Kitchen & dining -4% -18% Skin care & makeup -13% -19% Food takeout & delivery -1% -5% Tobacco products & smoking supplies 9% 2% Personal-care products 3% 1% Groceries/food for home 19% 19% Meal at quick-service restaurants 2% -17% Meal at restaurant -12% -30% Accessories (e.g., handbags, sunglasses) -21% -34% -16% Jewelry -33% Toys & baby supplies 6% -17% Home decor & furniture -16% -32% Sports/outdoors equipment & supplies -8% -27% Pet food & supplies 6% 7% Vitamins, supplements, OTC medicines 8% 3% Domestic flights -41% -41% Hotel/resort stays -31% -44% Adventures & tours -20% -27% Pet-care services 2% -6% Gasoline 6% -4% Short-term apartment or house rental -24% -26% Cruises -15% -24% Books, magazines, newspapers -1% -4% Consumer electronics -20% -30% Entertainment at home 8% 8% Vehicles -11% Entertainment out of home -17% -32% Fitness & wellness services (e.g., gym) 4% -11% Personal-care services (e.g., hair salon) -1% -21% Travel by car -4% -19% International flights -10% -29% Household supplies 5% 9% Vaccinated consumers have a higher net intent to spend, including for restaurants, in-person services, and out-of-home entertainment Vaccination accelerating recovery Net intent1 for expected spending per category over the next two weeks compared to usual2 Net intent between 0 and –15 Net intent below –15 Net intent Above +1 Below 1 Categories with >10 percentage-point increase in net intent for interested consumers vs cautious consumers +1 to +9 –/+1 For vaccinated consumers vs those interested in receiving the vaccine Net intent2 Net intent2 Vaccinated Interested Difference Vaccinated Interested Difference
  17. McKinsey & Company 17 Consumers indicate that new digital behaviors developed during the COVID-19 pandemic will stick 3. Sticky behaviors across in-home entertainment and digital wellness 2. Sustained use of novel purchasing methods 1. Increased online purchasing +35% Overall increase in online penetration, based on credit-card and debit-card spend ~70–80% of consumers who accelerated their digital health/wellness engagement say they will continue post-COVID-19 +60% growth in restaurant/store curbside pickup during COVID-19, ~50% expect to continue using it Continued digital stickiness Source: McKinsey & Company COVID-19 US Consumer Pulse Survey 2/18–2/22/2021, n = 2,076, sampled and weighted to match the US general population 18+ years; Affinity Solutions credit-card and debit- card spend data from 2/2019–1/2021; Facteus debit-card spend data from 2/2019–1/2021
  18. McKinsey & Company 18 Online spend penetration has accelerated in the past 12 months across categories, sustaining April’s peak +35% Year-over-year increase in online penetration, based on credit-card and debit- card spend 19% 18% 20% 27% 27% 25% 25% 25% 24% 24% 28% 29% 26% Aug Jan 2020 Feb Mar May Apr Jun Jul Sep Oct Nov Dec Jan 2021 +35% Retail-oriented online credit-card and debit-card spend as percent of total1 Source: Affinity Solutions credit-card and debit-card spend data from 2/2019–1/2021; Facteus debit-card spend data from 2/2019–1/2021 1 Year-over-year growth of total sales in last 12 months (2/2020–1/2021) compared to total sales in the prior 12 months (2/2019–1/2020); including the following retailer categories: Amazon, apparel, software & electronics, cosmetic stores; pet shops, home stores, mass stores, club stores, restaurants, grocery stores, drug stores, discount stores. Continued digital stickiness
  19. McKinsey & Company 19 Retail saw online sales increase during COVID-19; categories with already high online penetration saw a dramatic spike during April’s lockdowns 37% 81% 48% 2021 (Jan) Pre- COVID-19 (Jan/Feb 2020) Apr 2020 spike +29% 8% 14% 14% Pre- COVID-19 (Jan/Feb 2020) Apr 2020 spike 2021 (Jan) +65% 3% 6% 6% Apr 2020 spike Pre- COVID-19 (Jan/Feb 2020) 2021 (Jan) +112% Continued digital stickiness Source: Affinity Solutions credit-card and debit-card spend data from 2/2019–1/2021; Facteus debit-card spend data from 2/2019–1/2021 1“High online penetration retail categories” includes those with >20% pre-COVID-19 internet penetration, i.e., apparel, software & electronics, cosmetic stores; pet shops. 2 “Medium online penetration retail categories” includes those with 7–20% pre-COVID-19 internet penetration, i.e., home stores, mass stores, club stores. 3“Low online penetration retail categories” includes those with <7% pre-COVID-19 internet penetration, i.e., restaurants, grocery stores, drug stores, discount stores. 4 Certain retailers (e.g., Amazon) don’t have categories broken down within credit card and debit card data. Amazon is not included in these groupings. Online sales as a % of overall sales for credit-card and debit-card spend1,2,3,4 High pre-COVID-19 penetration (>20%)1 Moderate pre-COVID-19 penetration (7–20%)2 Low pre-COVID-19 penetration (<7%)3
  20. McKinsey & Company 20 Consumers expect more digital acceleration in categories such consumer electronics and pet supplies Greater online presence Less-accelerated online shift Sustained shift to online Net intent to continue to purchase online after COVID-191,3 Percent of users who intend to keep doing activity after COVID-19 at same or higher level Penetration since COVID-19 2 1 Q: Will you continue to purchase these categories online after the COVID-19 situation subsides (i.e., once there is herd immunity)? Possible answers: “no, I will stop purchasing online altogether”; “buy less online”; “buy about the same amount online”; and “buy more online.” Number indicates net intent, calculated by subtracting % of respondents stating they expect to decrease or stop use from % of respondents stating they expect to increase or maintain use. 2 Q: Have you purchased the following categories online since the coronavirus (COVID-19) began? Please select yes or no for each category. Includes % respondents who selected “yes” for the category. 3 Thresholds of categories are defined by the tercile. The first tercile of intent occurs at 34%, and the second occurs at 40%. Continued digital stickiness Source: McKinsey & Company COVID-19 US Consumer Pulse Survey 2/18–2/22/2021, n = 2,076, sampled and weighted to match the US general population 18+ years 34 33 26 35 37 39 41 43 27 80 65 40 49 47 24 50 51 28 30 53 32 36 38 55 42 57 44 30 35 45 59 55 75 61 63 45 46 48 50 52 54 56 58 60 62 25 29 31 Home decor & furniture Vitamins, supplements, OTC medicines Household supplies Apparel Personal-care products Personal-care services Kitchen Groceries Sports & outdoors equipment Alcoholic beverages Pet supplies Fitness & wellness services Food takeout & delivery Home improvement Toys & baby supplies Skin care & makeup Accessories Pet-care services Jewelry Footwear Consumer electronics Entertainment out of home Books Tobacco products
  21. McKinsey & Company 21 Intent to use after COVID-191 Percent of users who intend to keep doing activity after COVID-19 Consumers say most food-related pickup and delivery works; social shopping, apps, and plug-ins have a smaller but loyal following Source: McKinsey & Company COVID-19 US Consumer Pulse Survey 2/18–2/22/2021, n = 2,076, sampled and weighted to match the US general population 18+ years 1 Q: Compared to now, will you do or use the following more, less, or not at all, once the coronavirus (COVID-19) ) crisis subsides (i.e., once there is herd immunity)? Possible answers: “will stop this”; ”will reduce this”; “will keep doing what I am doing now”; “will increase this.” Number indicates respondents who chose “will keep doing what I am doing now” and “will increase this” among new or increased users. 2 Q. Which best describes when you have done or used each of these items? Possible answers included: “just started using since coronavirus started”; “using more since coronavirus started"; “using less since coronavirus started” or “using about the same since coronavirus started.” Possible answers not included: “not using.” ~60–70% of consumers expect to continue digital activities with COVID-19 acceleration ~45–55% of consumers expect to continue digital activities with more disruptive growth during COVID-19 82 26 68 28 84 38 32 52 30 25 74 34 30 36 15 60 46 40 42 20 44 48 50 54 40 56 45 58 62 64 66 70 50 72 76 78 80 0 35 5 10 Restaurant delivery Meal-kit delivery Buy online for in-store pickup Deal-finding plug-ins Purchased from social media In-store self-checkout Quick-serve restaurant drive-thru Grocery delivery Restaurant curbside pickup Store curbside pickup New store/restaurant app Purchased pre-owned products online Penetration since COVID-19 2 COVID-19 acceleration Disruptive growth User growth: 0–19% User growth: 20–39% User growth: 40–59% User growth: 60%+ Continued digital stickiness
  22. McKinsey & Company 22 44 38 52 50 42 40 40 48 50 60 46 54 56 72 58 60 62 64 66 68 0 70 74 76 78 80 10 20 30 Digital exercise machine Used social media Video chat: personal Telemedicine: mental TikTok Online streaming Online fitness Videoconferencing: professional Remote learning: myself Remote learning: my children Telemedicine: physical Wellness app Playing online games Watching e-sports Cooked regularly Personal care / grooming at home 1 Q: Compared to now, will you do or use the following more, less, or not at all, once the coronavirus (COVID-19) ) crisis subsides (i.e., once there is herd immunity)? Possible answers: “will stop this”; ”will reduce this”; “will keep doing what I am doing now”; “will increase this.” Number indicates respondents who chose “will keep doing what I am doing now” and “will increase this” among new or increased users. 2 Q. Which best describes when you have done or used each of these items? Possible answers included: “Just started using since coronavirus started”; “using more since coronavirus started”; “using less since coronavirus started” or “using about the same since coronavirus started.” Possible answers not included: “not using.” Online entertainment and wellness habits adopted during the crisis are likely to remain for the medium to long term Source: McKinsey & Company COVID-19 US Consumer Pulse Survey 2/18–2/22/2021, n = 2,076, sampled and weighted to match the US general population 18+ years COVID-19 emphasized COVID-19 acceleration Disruptive growth ~65–80% of consumers expect to continue current level of digital wellness and interactive online entertainment accelerated during COVID-19 Limited shift with COVID-19 ~45–55% of consumers expect to continue current level of remote communication, learning, health platforms with disruptive COVID-19 growth Intent to use after COVID-191 Percent of users who intend to keep doing activity after COVID-19 Continued digital stickiness User growth: 0–19% User growth: 20–39% User growth: 40–59% User growth: 60%+ Penetration since COVID-19 2
  23. McKinsey & Company 23 Consumers have made many investments in their homes that will have long-term effects 1 Q: Which of the following have you done in the last 12 months as a result of the COVID-19 crisis? 36% answered “none of these.” Renovated/remodeled my home Went back to school Worked more from home Moved into a bigger home Decided to change jobs 4% Permanently moved to a new city Set up a specific work-from-home space Set up a gym at home Bought a car Reassessed my investment portfolio Permanently moved the suburbs Bought a property Got a new pet at home (e.g. dog, cat) Sold a property Moved into a smaller home 13% 4% Permanently moved to the countryside 24% 7% 5% 12% 10% 12% 3% 6% 12% 5% 4% 6% 5% 13% Permanently moved in with family Pet adoption 13% House move 19% Home renovation 28% Investments/ Divestments 26% Changes made in the last 12 months as a result of COVID-191 % of respondents Source: McKinsey & Company COVID-19 US Consumer Pulse Survey 2/18–2/22/2021, n = 2,076, sampled and weighted to match the US general population 18+ years Work/study change 32% Rebalancing of homebody economy
  24. McKinsey & Company 24 However, consumers indicate eagerness to return to out-of-home activities post-COVID-19 7 17 25 20 16 17 16 30 23 17 8 6 13 23 18 13 15 18 13 14 14 29 13 16 17 15 16 14 11 13 16 18 21 11 Tobacco products Groceries Apparel Quick-service restaurant Home & furniture Food takeout & delivery Restaurant Jewelry Footwear Accessories Toys & baby Household supplies Personal-care products Skin care & makeup Sports & outdoors Home improvement & garden Kitchen & dining Decrease Increase Stay the same 7 7 13 16 19 16 16 16 13 8 20 19 11 19 19 18 20 18 11 13 13 12 14 32 19 24 18 32 17 32 33 38 37 38 30 32 Pet-care services Vehicles Vitamins & OTC medicine Out-of-home entertainment Entertainment at home Pet food & supplies Books/magazines/newspapers Fitness & wellness Consumer electronics Personal-care services Gasoline Short-term home rentals Travel by car Cruises Adventures & tours International flights Hotel/resort stays Domestic flights Source: McKinsey & Company COVID-19 US Consumer Pulse Survey 2/18–2/22/2021, n = 2,076, sampled and weighted to match the US general population 18+ years Net intent: Above +1 Net intent: –15 to 0 Net intent: Below – 15 Categories with net intent >10% Expected spending per category post-COVID-19 compared to during COVID-191 % of respondents Net intent2 Net intent2 11% 5% -10% 0% -6% -4% 13% -5% -4% 16% 0% 3% -13% 8% -7% 4% -1% 25% 4% 13% 0% 21% -7% 18% 0% 18% 8% 20% -4% 10% 14% -4% 7% 6% -3% Rebalancing of homebody economy 1 Q: Once the COVID-19 crisis subsides (i.e., once there is herd immunity), do you expect that you will spend more, about the same, or less money on these categories than during the COVID-19 pandemic? Figures may not sum to 100% because of rounding. 2 Net intent is calculated by subtracting the % of respondents stating they expect to decrease spending from the % of respondents stating they expect to increase spending.
  25. McKinsey & Company 25 Have you done any of the following since COVID-19 started1,2 % of respondents More than 75 percent of Americans have tried a new shopping behavior during the pandemic, and the trend continues in 2021 Evolution of loyalty 40% 39% 34% 29% 26% Private label/store brand New shopping method3 Different brand Different retailer/store/website New digital shopping method 1 Q: Since the coronavirus (COVID-19) crisis started, which of the following have you done? 23% consumers selected “none of these.” 2 Q: Which best describes whether or not you plan to continue with these shopping changes once the coronavirus (COVID-19) crisis has subsided (i.e., once there is herd immunity)? Possible answers: “will go back to what I did before coronavirus”; ”will keep doing both this and what I did before coronavirus”; ”will keep doing this and NOT go back to what I did before coronavirus.” 3 “New shopping method” includes curbside pickup and delivery apps. 4 “Growth” is indicated by numbers greater than 1x (i.e., 1x indicates no growth, 1.1x indicates 10% growth). 5 Intent to continue includes respondents who selected “will keep doing both this and what I did before coronavirus” and “will keep doing this and NOT go back to what I did before coronavirus.” 6 Members of Gen Z were born from 1997–2012, millennials from 1981-1996, Gen X from 1965–1980, and baby boomers from 1946–1964. The Traditionalist/Silent Generation is not included due to a low sample size. Source: McKinsey & Company COVID-19 US Consumer Pulse Survey 2/18–2/22/2021, n = 2,076, sampled and weighted to match the US general population 18+ years Growth since Aug. 20204 44% vs. 35% more millennials/Gen Z have tried a new brand than baby boomers6 77% of consumers have tried a new shopping behavior 84% of millennials and Gen Z have tried a new shopping behavior6 Intent to continue5 1x 1x 1.1x 1.2x 1.2x 76% 78% 79% 81% 81%
  26. McKinsey & Company 26 Value was the main driver of consumers’ switching brands, but they also switched for reasons of purpose, quality, and novelty Evolution of loyalty 1 Q: You mentioned you tried a new/different brand than what you normally buy. What were the main reasons that drove this decision? Select all that apply. “Brand” includes different brand, new private label/store brand. Over-arching reason based on % of individual respondents responding to at least one reason in the group. 2 Members of Gen Z were born from 1997–2012, millennials from 1981–1996. 40% 38% 16% 13% 42% 17% 9% 11% 11% 24% 18% 24% 17% 19% 16% 26% 19% Wanted to try a new brand I found The company treats its employees well Is more sustainable/better for the environment Better value Better prices/promotions Shares my values Supporting local businesses Better shipping/delivery cost Wanted to treat myself Larger package sizes Products are in stock Better quality Is natural/organic Wanted to try a type of product I’ve never tried before Wanted variety/change from my normal routine Is available where I’m shopping (i.e., in store or online) Is cleaner/safer Reason for trying a new brand since COVID-19 began1 % of respondents selecting reason in top three Source: McKinsey & Company COVID-19 US Consumer Pulse Survey 2/18–2/22/2021, n = 2,076, sampled and weighted to match the US general population 18+ years 42% of millennials/ Gen Z cite purpose as a primary reason2 44% of millennials/ Gen Z cite quality/organic as a primary reason2 Net % of respondents per category X% Value 65% Quality/organic 34% Availability 42% Convenience 26% Purpose-driven 34% Novelty 33% Health/hygiene 16% Personal choice 28%
  27. McKinsey & Company 27 During COVID-19, brands from larger companies grew more initially, but smaller companies now play an increased role in growth Share of sales, % Source: Nielsen $14B $10B $548B $14B 1 Nielsen xAOC, super categories excluding alcohol, tobacco, fresh, and general merchandise. 2 Companies with yearly sales are Large > $2.5B; Medium <$2.5B but >$500M; Small <$500M. 3“CY 2018” is calendar year growth from 2017–2018; “CY 2019” is calendar year growth from 2018–2019. 4 Year-over-year growth for 4 weeks ending March 21, 2020, August 8, 2020, and Feb 20, 2021. $5B Evolution of loyalty Share of year-over-year dollar sales growth of consumer packaged goods products by company size,1,2 % 51 32 34 54 42 44 14 12 14 16 18 30 28 16 34 33 18 35 33 18 10 8 CY 20183 February 20214 August 20204 2019 3 4 CY 20193 March 20204 $4B Small Retailer brands Medium Large
  28. McKinsey & Company 28 Source: McKinsey 2020–21 Global Sentiment Survey Trade-off behavior in a standard shopping basket among all consumers by income tier1 % of consumers, September 2020 and September 2019 >$100K $50K–$100K <$50K US income tiers, household, annual 6 18 4 3 3 17 6 3 3 10 6 10 1 Q: Please indicate how your buying behavior has changed in a standard shopping basket for the items shown in the past 12 months (since September 2019). Select all that apply with option 7 being mutually exclusive and option 1 exclusive from option 2. Possible answers: 1) “Switching to less expensive brands”; 2) “Switching to more expensive / premium brands”; 3) “Buying the same brand as I bought 12 months ago, but at stores with lower prices”; 4) “Buying only when on sale or with coupon”; 5) “Buying less frequently of lower quantity of the same brand”; 6)“Have made some other change in how I buy these products”; 7)“Have not made changes in how I buy these products.” Trade down reflects option 1 as a percentage of all consumers, while trade up reflects option 2 as a percentage of all consumers. Total 4 16 5 5 3.65X Evolution of loyalty While trade-down increased across income groups, trade-up increased as well for consumers with over $100,000 in household income 2019 2020 Trade down Trade up
  29. McKinsey & Company 29 Disclaimer McKinsey does not provide legal, medical, or other regulated advice or guarantee results. These materials reflect general insight and best practice based on information currently available and do not contain all of the information needed to determine a future course of action. Such information has not been generated or independently verified by McKinsey and is inherently uncertain and subject to change. McKinsey has no obligation to update these materials and makes no representation or warranty and expressly disclaims any liability with respect thereto.

Notes de l'éditeur

  1. Stacey: One of the things that has stood out the most in the past few weeks is the unprecedented challenges in availability and the resulting new consumer exposure to different brands. What we have seen in the last 3 weeks, at right, versus the same time period last year is a much higher share of growth
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