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How does the beauty industry use big data to scientifically locate stores?
Bigdata, an IT industry term, refers to a collection of data that cannot be captured, managed and processed by conventional software tools within a certain time range. It is a massive, high-growth and diversified information asset, which needs a new processing mode to have stronger decision-making power, insight and discovery ability and process optimization ability.

Data aggregation is used to quickly aggregate multidimensional data of internal and external data. It can be accessed through real-time interface, automatic file import and active query. Can intelligently clean up and store data in various formats.

When collecting, it is necessary to accurately extract all kinds of source data: for example, some intelligent terminal collection devices are used to extract and store massive data, quickly clean them, divide them into structured data, unstructured data and semi-structured data, and then label and divide them, which are given different labels by the graph database, and then distributed to people and things who analyze them in detail, and the data results are displayed intuitively in the form of various visual analysis charts.

Generally speaking, big data analysis is to unify massive and mixed data into an organic whole through various means, and then present it to users intuitively with different visual analysis tools, so that they can easily find some key factors in the data. Ensure relevant personnel to improve work efficiency and analyze data core indicators, and bring profit value points to enterprises.

Relying on the rapid economic development, the per capita disposable income continues to increase, the frequency of consumer consumption is accelerated, and the amount of consumption is increased. At the same time, under the influence of the increasing penetration rate of cosmetics consumption and the continuous spread of core makeup people, the cosmetics industry continues to grow at a high speed. According to the data of the National Bureau of Statistics, during the period of 20 15 -20 19, the retail sales of cosmetics above designated size in China maintained an overall growth trend. In 20 19, the total retail sales of cosmetics above designated size in China was 299.2 billion yuan, and the output reached1240,000 tons. It is estimated that the total retail sales and output of cosmetics in China in 20021year will reach 339.2 billion yuan and 1.42 million tons respectively.

According to the age distribution of consumers, consumers aged 30-35 and 25-29 account for 40% and 36% of the total number respectively, and consumers aged 18-24 also account for 1 1.90%. In addition, according to relevant research data, the number and consumption of post-90s consumers have risen rapidly, far exceeding that of post-80s and post-70s.

Below I will solve the elements of site selection for the cosmetics industry, hoping to help you.

The location of cosmetics industry is generally better in residential areas with high population density, because ordinary consumers have the habit of using facilities and spending nearby. But at the same time, if the population here increases rapidly, the relative competition will be more intense. Store selection does not have to be on the first floor, as long as the business district has convenient transportation, crowds gathering, obvious signs and high floors.

These offices close to the streets or with relatively large traffic flow have relatively stable traffic flow. Although it is less than the bustling business district, the transaction volume will be higher, and high-end consumers will come in and out. Shops located in the high-end cosmetics industry can choose these geographical locations.

The consumption characteristics of community residents with a large population are more household consumption and large personal consumption, and the price requirements for goods are good and cheap. Therefore, choosing this store as the site of the cosmetics industry, the products should be rich, the product quality should be stable, and the price should be preferential, so as to cultivate old customers and stabilize customers.

In areas where commerce and trade are concentrated, there is a large flow of people and a high level of consumption. Therefore, the stores in the cosmetics industry are selected in the bustling center of the city, the main roads and transportation hubs that people must pass through.

Consumer groups are mainly young and middle-aged customers. In the process of site selection, the positioning of consumer groups is particularly important. According to the characteristics of customer orientation, determine the basic principles of opening a store. The main consumer groups in the cosmetics industry are mainly young and middle-aged customers, mostly students and office workers.

Choose business districts, entertainment and leisure places, hospitals, schools, bus stops, subways and other places, because they can bring a large number of mobile passengers to the store and gather popularity. According to statistics, the cosmetics industry near shopping malls, hospitals and schools has the highest income. Of course, these areas need to be screened by evaluation criteria before they can become the final store location.

First of all, the overall evaluation of the business circle should quantitatively evaluate the commercial competition saturation, average stay time, 3 km /5 km passenger flow, transportation convenience index, education level index, office data, medical distribution data, business circle population density index, and the concentration of mainstream consumer brand stores through a professional business circle evaluation model.

Comprehensive evaluation index of business circle:

Form of competition:

Number and distribution of transportation facilities:

As can be seen from the above picture, the area is rich in transportation facilities and convenient.

Distribution of formats:

Distribution of well-known brands:

Target consumer groups have a wide coverage. Then the location is suitable for street shops, office buildings, large shopping centers, business districts or commercial streets where residents are concentrated.

Population distribution data:

As can be seen from the above picture, the population distribution in the red box area is still relatively concentrated, so try to open stores in densely populated places.

Crowd portrait data:

As shown above:

The resident population is about 2.4 million, with a high population density. The resident population is about 6.5438+0 million, and the foreign population accounts for a large part.

The married population in the region accounts for the majority, accounting for 7 1%, and the married population accounts for a high proportion, so we can launch corresponding categories for this group of people.

College degree or above accounts for 59.63%, and people with high academic qualifications have good attributes of accepting new things and self-learning ability.

Most people are in the income range of 8K to 19K, and there is a causal relationship between income and consumption. Only when there is income can there be consumption. The consumption of high-income people tends to be refined and personalized, and they have no worries about food, clothing, housing and transportation.

The high proportion of private cars in business circle shows that there are more vehicles here, and locals are more willing to pay for enjoyment and convenience.

Most people's consumption level is very high, and only if they are willing to spend will they have business.

Conclusion: Finally, the above data can be added up.

As can be seen from the above figure, the red box area is an area with relatively dense population and other indicators, but there are relatively few competing products. You can choose to open stores in these places.

You can also continue to analyze the information provided by the portraits of permanent customers, residential houses and house prices, surrounding catering formats, surrounding medical-related formats, surrounding education and training formats, surrounding pets-related formats, surrounding scenic spots, surrounding transportation-related formats, surrounding company distribution formats, surrounding business accommodation formats, surrounding life service formats, surrounding sports and leisure formats, surrounding government agencies formats, surrounding public facilities formats, per capita consumption and ratings of some consumption categories, and so on.