How To Analyze The Store'S Performance And Give The Corresponding Solutions According To The Reasons For The Decline?

Shop performance is not good, we often say that because there is no passenger flow, but the key is that the number of people into other shops is not large, but the performance is better than you.

At this point, you will not be able to analyze the reasons again. Obviously, it will be considered an excuse.

Then how to analyze the performance of the store, and then give the corresponding solutions according to the reasons for the decline in performance?

Numbers do not lie.

I worked in a store, and the performance of the Dragon Boat Festival and the year-on-year decline were very serious.

Because it's a street store.

Yes, but it's a bit down compared with the same period last year, which shows that there must be some problems in the shop itself.

I communicated with the store manager, was it because?

Failure to do well results in a serious decline in the performance of the Dragon Boat Festival.

Because of all the customers I received, the final deal was bought.

.

The shopkeeper confidently told me, "I think our clothes are doing well."

In this case, I asked her to make up the sales of clothing and shoes in the Dragon Boat Festival this year, and the sales of clothing shoes sold in the Dragon Boat Festival last year.

I don't know if I don't know, but this year, the shoes dropped slightly last year, but sales of clothing were only half of that of last year.

Looking at this data, the manager convinced me of the fact that the clothes I said were not well done.

Shop through digital analysis

Data is boring, but the phenomenon behind data is often fresh.

We are a sports brand, but stores are sandwiched among men's clothing, and all the men's clothing brands around the world are sold for half off.

Secondly, although we do fashion sports, but fashion is more than fashion, it is also self searching, so most customers are carrying other men's bags to buy shoes in our shop.

Although men lost most of their sales opportunities because of objective reasons, there were still customers coming to our shop to buy men's clothing.

However, such a few remaining customers, we often can not grasp, mainly because we do not know enough about the quality of each garment.

Customers came in and tried many things, but eventually they didn't buy them. Customers were tired and shopping guide was more tired.

The more we introduce and the more we introduce, the less we can make sales.

Because we didn't get the right clothes for the first time, and eventually he was impatient. His clothes were not yet tested by him, and our sales opportunities were gone.

This year's Dragon Boat Festival holiday did not catch up with the sales opportunities of the entrance examination.

According to the calendar, last year's Dragon Boat Festival holiday was the week of June 20th, and the entrance examination for the national college entrance examination was all over, and the consumption demand of students was blowout.

But this year's Dragon Boat Festival holiday is on the 9 day of -11, and the college entrance examination and the mid-term examination are not over, which has lost more or less the sales opportunities of some student groups.

Provide solutions based on problems.

From the data point of view, the reason for the fall of the Dragon Boat Festival performance has been found out - clothing sales are not good.

Is it the promotion of men's clothing or the promotion of women's clothing, or the promotion of the two? After I communicated with the manager, I agreed that the opportunity lies in men's clothing, because this shop is dominated by male passenger flow, and there are too few women's clothing sales opportunities.

1, find out the matching of key sales items.

Since the more customers try, the less we buy, then we will find out the men's clothing that may be best sold next. My suggestion is to sell cool jade fabrics (hot weather in summer, especially for cool fabrics), and do some matching schemes for different types of people, from clothes to trousers to shoes, choose the places that customers can see most easily, and display the places that are easiest to take, or even repeat them.

When customers come in, they recommend a complete set that suits their physique and temperament to reduce customers' try.

2, in-depth understanding of the key styles of collocation.

From style to fabric to color to collocation to design style to fit the crowd, carefully consider and test carefully, penetrate to every salesperson to execute, execute and adjust accordingly according to customer feedback.

3, adjust the display.

Shop displays are generally guided by the company's guidelines. However, based on the selling function, some display needs to make minor adjustments according to the shop situation.

The plan I gave is: there are guidelines on display according to the actual needs of communication after fine-tuning; want to focus on sales of men's clothing, repeat at the throw table, hanging in easy to see and get the place; women's clothing in accordance with the entire regional sales ranking of the top few hang out, so that the better selling women's clothing has more sales opportunities.

Data is dead, but data can tell you something new.

On the whole, I think it is the ability of the manager to analyze the store problem through the combination of digital and store phenomenon.

It is necessary to logically and logically deduce the cause of the fluctuation of store performance, and finally break the store's bad performance because of the theory of no circle of people.