Opening A Clothing Store To Analyze Passenger Flow And Purchasing Power

Family population and income level

Family status is the basic factor affecting consumption demand.

Family characteristics include: population, family members' age and income status.

For example, the average household income and the distribution of household income will significantly affect the future sales of clothing stores.

If the average household income in the area increases, it will increase the family's demand for quantity, quality and grade.

The size of a family will also affect future business.

Sales have a greater impact.

For example, a family composed of two families of young people is shopping in pursuit of fashion, personalization and a small amount. While a family of three families has an only child, its consumption demand is almost centered on children.

The age of family members will also have different needs for commodities.

For example, the aging family tends to buy health care products, fitness products, nutritious food, etc. while children's families invest mainly in children's food, toys and so on.

Population density

The population density of a region can be determined by the number of people per square kilometre or the number of households.

The higher the population density of a region, the larger the size of the location selection clothing store.

To calculate the daytime population in a region, that is to say, the number of children in the household is removed, plus the number of people who go to work and go to school in the area, and the number of people who go to work and go to school in the area is reduced.

The number of passengers who are partially inflow is not within the number of visits.

The areas with high population density during the day are mostly office areas, school cultural areas and so on.

For areas with large population during the day, we should analyze the characteristics of their consumption demand and conduct business.

For example, to extend work hours and increase convenience projects to meet the needs.

In areas with high population density, close proximity to commercial facilities can increase the frequency of shopping.

The low density population has low attractiveness.

Also less.

Passenger volume

In general, when assessing geographical conditions, the flow of pedestrians passing through the site should be carefully determined, which is the future volume of clothing stores.

The size of human traffic is greatly related to the number of people on the ground.

The survey focuses on the number of passengers on and off the stations.

The greater the number of passengers getting on and off, the better.

The population of the clothing business circle will be reduced if the number of passengers and passengers is reduced and the new vehicles are not replaced.

According to the age structure of customers at different stations, we can understand the needs of customers at different ages.

Purchasing power

The consumption level of the family and population is determined by the income level in the clothing trade circle. Therefore, the income level of the clothing trade circle has a decisive influence on the geographical conditions.

Household income per capita can be obtained through household sampling survey.

For example, at the beginning of a commercial building in the western suburbs of Beijing, a sample of one to two kilometre radius of the surrounding clothing trade circle was used to extract 2000 family samples according to the random sampling method.

After a summary analysis, the average income of the 2000 households accounted for about 50% of the monthly income, accounting for 20% of the 500 to 1000 yuan, 20% of 1000 to 1500 yuan, 10% of the monthly income of 500 yuan per capita, and 2000% of the per capita monthly income.

This shows that most of the residents in this area are wage earners and are of middle income level.

Not high.

When choosing a site, clothing enterprises should take priority in location selection, which is located in youth and middle-aged customers, with higher social economic status and larger disposable income.