Robot big data: Shopping mall customer flow increased by 40% during the first long holiday after the epidemic, with Chengdu and Wuhan leading the growth rate

According to data from the Ministry of Commerce, from October 1 to 8, the sales of key monitored retail and catering enterprises nationwide reached about 1.6 trillion yuan, with average daily sales up 4.9% over last year's National Day Golden Week. As an important retail front, what role have shopping malls played in boosting the consumer market? And what are the trends in customer flow?

Cheetah Mobile's AiM shopping mall robot large-screen network uses more than 8,000 celebrity shopping mall robots in nearly 1,000 shopping malls in 33 cities across the country to interpret the various aspects of shopping malls during the first long holiday after the epidemic, and presents in three dimensions how shopping malls continue to boost new retail.

With the arrival of the 8-day super golden week, the consumer demand for "food, drink, entertainment, travel and shopping" that has been suppressed for more than half a year is gaining momentum. Coupled with the impact of the overseas epidemic, many consumers have canceled their overseas travel plans, and shopping has become an important option.

Big data from Cheetah Mobile's internet celebrity shopping mall robot shows that during the National Day holiday, the total daily customer flow in shopping malls across the country increased rapidly, exceeding 54.84 million on National Day and an average of more than 47.75 million, an increase of 39.46% from before the holiday.

Dragon Boat Festival, Chinese Valentine's Day, National Day... As the impact of the domestic epidemic gradually subsides, the holiday economy has a more obvious effect on shopping mall consumption. From the most intuitive perspective of shopping mall customer flow, the big data of Cheetah Mobile's popular shopping mall robot shows that the average daily customer flow of shopping malls across the country has increased from an average of 40,272 people during the Dragon Boat Festival to 45,659 people during the Chinese Valentine's Day and 48,248 people during the National Day.

It is worth noting that this year, with the superposition of two major festivals that occur once every ten years, the "buy, buy, buy" effect during the holidays is more obvious, driven by family consumption and parent-child consumption.

Data shows that just as the holiday began on October 1, the average customer flow in shopping malls across the country reached its peak during the holiday, exceeding 55,000 people, an increase of nearly 40% (37.8%) compared to the average customer flow in shopping malls on a single day during the Dragon Boat Festival holiday. It was truly a "golden" week!

It should be noted that due to the influence of consumers traveling during the holidays, consumers starting their return journey at the end of the holidays, and resting after returning from their trips, the average customer flow in shopping malls during the holidays has gradually decreased, but compared to the period before the holidays, the customer flow during the holidays is still generally at a high level.

The Golden Week has set off a shopping boom. Which shopping malls have seen the most rapid increase in customer traffic? Taking Beijing, Wuhan, Chengdu and Hangzhou as examples, the analysis found that the place with the most rapid increase in customer traffic is neither Beijing, a representative of first-tier cities, nor Wuhan, which has been suppressed by the epidemic for half a year and ushered in a wave of retaliatory consumption during the holiday, but Chengdu, where you can eat at food stalls and go shopping!

Data shows that during the National Day holiday, the average daily customer flow in Chengdu shopping malls was 39,933, close to the 40,000 mark, an increase of 33.52% from the week before the holiday. Wuhan, which has been reborn after the epidemic, also saw a growth rate of more than 30%. In contrast, during the same period, Beijing's growth rate was only 15.71%, which may be related to the fact that more citizens chose to travel.

As an online celebrity city, according to incomplete statistics, during the just-concluded National Day Golden Week, Chengdu received a total of 2,017,130 tourists, a year-on-year increase of 32.7%; total tourism revenue reached 28.646 billion yuan, a year-on-year increase of 25.2%. Data from multiple platforms such as Ctrip, Mafengwo, and AutoNavi also show that Chengdu is one of the most popular destination cities.

During the long holiday, the consumption boom is heading to shopping malls. How is the distribution of customer flow? Are all shopping malls equally benefited? Wrong! Taking shopping malls in first-tier cities such as Beijing, Shanghai, and Shenzhen as examples, the customer flow of different types of shopping malls is analyzed from multiple dimensions such as business type, region, and commercial area. It can be found that from October 1st to 8th, the average daily customer flow of benchmark-level shopping malls in Beijing was 2.6 times and 3.7 times that of popular-level and ordinary-level shopping malls , respectively. In Shanghai and Shenzhen, the average daily customer flow of benchmark-level shopping malls was also 2.4 times and 3.3 times that of ordinary-level shopping malls, respectively.

Benchmark shopping malls will attract more attention than other shopping malls due to their larger commercial space and more complete shopping experience. With the arrival of the holidays, benchmark shopping malls will attract foreign tourists to check in with their advantages of must-visit commercial locations, and the siphon effect will become more obvious.

The big data of Cheetah Mobile's internet celebrity shopping mall robot shows that, judging from the age distribution of shopping mall customers across the country, young consumers (aged 18-35) who basically cover those born after 1985, 1990 and 1995 are still the main force in shopping malls, accounting for 44.57%.

The proportion of teenagers (8-17 years old) and children (≤7 years old), which basically cover the post-00s, also reached 33% . From swimming in the baby hall at the age of zero, to early education at the age of one, to learning skills at the age of three or four, to various playgrounds, escape rooms and other new consumption spaces, children have never stayed in shopping malls for a long time to play like they do today. No wonder some media call the post-00s, who play and train in shopping malls, "the generation that grew up in shopping malls."

Looking at the middle-aged people, the most stylish ones are the middle-aged and elderly "shopping athletes" in Shanghai, leading the seven major cities with 25.12% (middle-aged consumers, 36-55 years old) and 4.11% (elderly consumers over 56 years old).

Driven by family consumption during the holidays, middle-aged and elderly people who have always loved to gather and play in parks and community activity centers have also begun to go out of the community to go shopping, dining and shopping with their families, which has become an important theme of this year's Golden Week.

In terms of gender, women accounted for 56.13% of the average customer flow in shopping malls across the country. Among them, Wuhan girls were the most powerful, accounting for 60.30%! The "revenge" consumption that people had been speculating about before actually happened to Wuhan women this holiday.

Cheetah Mobile also found through big data that among the seven major cities, Shanghai has the highest number of men who love shopping (47.10%).

What kind of consumers are behind the 382 million daily shopping mall traffic during the National Day holiday? What are their shopping habits? Cheetah Mobile's popular shopping mall robot will explain it to you later.

From: Cheetah AI New Retail