Do You Still Make Money Without Using Key Data Analysis In Clothing Store?

First, 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 best selling style is a larger sales style in a certain period of time, while the unsalable sales is the opposite, which means the sales volume is smaller in a certain time.

The degree 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 initial 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 the best seller because the contribution rate of the shop to the shop is not large.

In the analysis of sluggish sales, it is generally divided into weekly, monthly and quarterly terms from time to time.

measures

The analysis will be helpful to the replenishment judgment of different styles. After comparing the sales of the same styles, combined with inventory, we can determine the amount of replenishment needed, so as to replenish the goods quickly, reduce the losses caused by the shortage and increase the profit contribution rate of the single type. The analysis of the slow sales analysis can also check the extent of the display and shopping guide recommendation. For example, if a certain quantity of orders is large and sales are few, we should first check whether the display of the item is in the key position and whether the shopping guide should focus on the introduction of this item. The analysis can improve the aesthetic standards of orders and grasp the positioning of the brand style. The analysis of repeated unsalable items will help greatly the aesthetic judgement ability of different styles.

Two, single sales life cycle analysis

The single sales life cycle refers to the total time span of a single sale and the sales status of the time period (usually the selling period is correct).

The analysis of a single sales cycle usually takes some key styles (order quantity and more stock styles) to do the analysis, so as to judge whether there is a shortage or generate inventory pressure, so as to make timely countermeasures.

The sales cycle of a single item is mainly influenced by three factors, such as season and climate, sales characteristics of styles, competition between similar products in shops.

In addition to professional sales software, the sales cycle of a single paragraph can be selected through Excel software. First, the number of sales per day in the sales cycle is selected, and the sales trend can be seen by inserting the chart function, through the rectangle chart or the broken line chart, so as to determine its sales life cycle.

The main reason for a serious decline in single sales

First, the recent weather temperature is not suitable for the sale.

Two, the sales life cycle has arrived, which is a normal decline.

The three is a new style which is similar to it, and may be more prominent when it comes to Chen Li. It is more popular with consumers because of their visual fatigue.

Countermeasures

If the inventory is large, we should make corresponding countermeasures.

If it is the first reason, we do not need to rush to wait until the weather is most suitable for display. However, we should consider whether there is some problem in the time of loading. If there are second reasons, we should immediately promote sales to enhance the competitiveness of the unit and the inventory risk of the item. If there are third kinds of circumstances, we should consider the withdrawal or display of the new competitive items in a more general position, and review the timing of the shipment.

On the contrary, if there is still a certain sales potential according to the sales trend, it is possible to analyze how many pieces of the fund can be sold, so that combined with its own inventory, we can carry out the right quantity replenishment quickly, so as to reduce the shortage loss.

Generally speaking, the opening time and closing time of shops in a region are almost the same, but there may be some differences in the arrangement of flights in the middle.

This requires us to analyze the number of people entering the shop, the number of people trying to wear, the number of votes and the amount of money in each time period, so as to find out which periods of time have higher rate of entering the shop, the rate of entering the shop and trying out the paction, and then adjust the number of employees according to this result.

For example, these factors are low in the morning and the data are higher in one hour before going to work. They can consider changing the business hours of the whole day. For example, when the data of these factors are very concentrated at a certain time, the most employees, energy and sales promotion can be concentrated in this time period. Through accurate data analysis, a reasonable adjustment of working hours and work arrangements can effectively promote staff's work enthusiasm and sales growth.

For Brand Company, provincial agents or franchisees of many brands, the sales comparison between the shops and the allocation of goods can effectively enhance the logistics management capability of the general store, as well as the sales level of each store and the ability to solve the inventory problem.

We can do the analysis and management of the sales data between multiple stores through the form of sales / inventory comparative analysis between selected stores in a certain period.

For sale / inventory comparison, the choice of general stores is in the same area; the choice of styles is usually about the same time.

Five, analysis of contribution rate of old customers

A famous rule in marketing is called 20\80 rule. In customer management theory, 20% of customers finish 80% sales, and 20% of them are our old customers, especially those who hold our brand VIP card.

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

Some brands and shops often make some VIP cards invalid because of unreasonable processing conditions for VIP cards, or other special reasons of customers, such as shopping and shopping.

On the contrary, although some customers often patronize, but for some reason, they have not been able to achieve the VIP card conditions. This has brought some trouble to the VIP card customer management of the store, so the analysis of the contribution rate of the old customers is particularly important.

We need to register and count the consumption of old customers, especially those holding VIP cards, and analyze the consumption characteristics, consumption frequency and consumption amount of the special key customers.

First of all, we can work out a more reasonable VIP card handling conditions, followed by a more accurate management of the old customers.

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