Shop Nuggets -- Learn How To Manage Stores With Data Analysis

Information technology is one of the cores of the development of the Internet industry today, and for shops, data analysis is also promising.

Then, how to strategise?

The role of data is intuitive, thorough and real. Therefore, doing a good job in sales data analysis helps to make market decisions correctly and quickly, helps to understand the implementation results of store marketing plan in time, and helps to improve store sales.

Two, several important categories of analysis

1, analysis of slow sales

The analysis of sluggish sales is one of the simplest, most intuitive, and most important data factors in single store sales data analysis.

The level of unsalable sales is mainly related to the disposable inventory of each style, that is, the sum of the original order plus the quantity of goods that can be filled. For example, a good sale is very good, but the original order is very small, and it can not be filled. So it is sold out in a short time, and its total sales volume is not large, so it can not be regarded as a real cancellation, because the contribution rate of the shop to the shop is not large.

The analysis of smooth selling sales shows that by comparing sales and inventory, we can get the dynamic of different styles in a certain period of time, consumer preferences and so on, and can make adjustment of sales plan with data, so as to avoid overstock or shortage.

2, analysis of contribution rate of old customers

A famous rule in marketing is called the 2080 law. Customer management theory refers to 20% of customers who complete 80% sales, and 20% of them are old customers, especially those holding VIP cards.

Therefore, the management of old customers is one of the most important items in store management.

We need to register and statistics the consumption of old customers, especially those holding VIP cards, and analyze the consumption dimensions (proximity, density, intensity and width) of the special key customers.

This will make the management of the old customers more accurate.

For example, SMS targeted messages to different categories of old customers, new products and promotions, VIP exclusive privileges, birthdays and holiday gifts will greatly enhance the brand loyalty of old customers, introduce friends, return frequency and desire to buy again.

In addition, in the VIP management, we can do special person appointment and positioning, and we can also achieve meticulous and personalized maintenance of old customers.

3, personal sales ability analysis

Through the analysis of the personal sales ability of employees, we can understand and grasp each employee's working ability and working mindset in time, so as to suit the remedy to the case and improve personal sales performance.

(1) personal sales performance analysis

No matter when calculating the Commission, the sales performance of each employee should be counted according to individual performance or average performance.

Personal sales performance analysis includes two aspects, one is the monthly personal sales performance, the other is the individual sales performance in different time periods.

There are two main factors in personal sales performance each month, one is personal sales ability and work enthusiasm, the other second is personal "grab business" capability.

Through monthly individual sales performance analysis, we can see not only the personal sales level and work enthusiasm, but also the sense of teamwork, solidarity and team coordination and management level.

The individual sales performance in time periods is usually counted and compared by the timeliness of the store manager.

If some employees have abnormal sales performance over a period of time, it may be that the employee's mentality is in question, for example, whether there is something in the home, dissatisfaction with shop management or salary last month, and conflicts with colleagues.

Store managers should immediately understand and help them to solve their problems so as to change their mindset and improve their personal sales performance.

(2) passenger unit price analysis

Generally speaking, the sales level of individual customers is mainly influenced by display, clothing collocation technology and additional marketing techniques.

Therefore, the data analysis of customer price and the matching characteristics of single ticket sales can identify the individual's additional marketing ability and the habit of clothing matching, and even analyze the combination ability and color combination ability of display level and order.

For the low unit price of customers due to the ability to purchase, it can be solved through targeted incentive measures in a certain period, such as how much money is sold or how many pieces of cash are awarded to a single ticket, which is of great significance to the overall sales performance of a store.

In addition, the analysis of key categories, such as the rate of shops (overall and personal), and the rate of goods sold out, is also an important work of daily management.

Based on data analysis can directly reflect the sales problem, shops should combine their own reality, start from a simple, and timely make sales plan and target adjustment, timely counselling, so as to better enhance performance.