Only three roadshows were scheduled, which was also because the three major underwriters were full of confidence in U.S. Shopping.com, and their strength was strong enough.

Citibank believes that only three roadshows are needed to sell the shares of Meigou.com.

In the end, the three major underwriters and shareholders of Meigou.com reached an agreement. During the roadshow, the stock was initially priced in the range of $40 to $50.

After the three roadshows, the listing price will be adjusted according to the subscription situation.

...

After the meeting, everyone left. After Wang Ye returned to his office, he ground a cup of coffee by himself.

Then, holding a coffee cup, she sat on the sofa chair in front of the large floor-to-ceiling window.

In Pengcheng in May, the weather is already quite hot, and the temperature outside is as high as 30 degrees Celsius. Of course, the office is a constant temperature of 25 degrees Celsius, and you can't feel any heat.

If the USG Online listing can reach a stock price of US$50, then the 350 million shares issued by the public will be able to raise US$17.5 billion.

This amount is already very amazing, but Wang Ye still feels that it is not enough because his subsequent plan requires a lot of funds to support it.

In his memory, Alibaba raised $25 billion in funds from its listing. Of course, Alibaba will not be officially listed in five years.

But at that time, Alibaba's influence was actually not as good as it is now.

At this time, no company can compare with Alibaba’s comprehensive e-commerce platform.

JD.com has not yet risen, Vipshop is still doing group buying luxury goods, and Pinduoduo has not been created yet.

Meigou.com is different from Alibaba's business model and cannot be called a direct competitor.

Why did Wang Ye want to list Meigou.com as soon as possible? Because he knew that the more he dragged it, the more competitors he had, the influence of the platform would be reduced. When it went public, investors would naturally be skeptical about your development prospects.

This will make it difficult for the stock price to rise.

Now, Meigou.com is in a monopoly position in cosmetics e-commerce, and has opened up the sales of a new category of clothing, and has also gimmicks such as O2O, logistics, and cloud data centers. It is the best time to go public.

Moreover, only by getting a large amount of money after going public this year can we calmly plan for next year's big acquisition.

Therefore, we must find a way to push the listed stock price of Meigou.com to a higher level. Thinking of this, Wang Ye picked up the landline microphone and asked Liu Ruomei to notify Xu Jing and Li Xin to his office.

Soon, the two of them arrived together.

"Dr. Wang, are you looking for us?" Xu Jing greeted Wang Ye with a smile.

"Come on, there's nothing to do here, so I'll ask you guys to come and have a chat." Wang Ye sat on the sofa and signaled them to come and sit down.

After the two sat down and Liu Ruomei served the coffee, Wang Ye asked with concern: "What is the sales momentum of Meigou.com recently? How much is the expected sales and net profit this year?"

Although he can also see data summary directly on the computer, he still asks many things for the direct management staff to be clearer and clearer.

When Xu Jing heard Wang Ye’s question, she immediately answered: “The sales of cosmetics have been growing steadily. In addition, the sales of Huashang brand have now stabilized. However, because there is only such a brand, many users have reported it too single. I hope we will introduce more brands.”

This is normal. There are many brands on the cosmetics section on Meigou.com now, and they are all selected brands, all of which are direct delivery on the website.

But the clothing area is quite pitiful, with only two brands, and THE  TOP   SHOP is not sold online, which means you can only watch it and not buy it.

Wang Ye smiled: "Don't worry, when the preferred products are officially launched, it will almost solve this problem."

Xu Jing has long heard of the company Youpin, and asked curiously: "Is this brand a low-priced version of THE   TOP  SHOP?"

Most people from other affiliated companies believe that Wang Ye’s preferred product is the low-priced version of THE  TOP  SHOP, used to occupy third- and fourth-tier cities.

Wang Ye was too lazy to explain so much, but just smiled and said, "You will know when it is launched. However, this brand will have a lot of styles, which is enough to support the clothing area of ​​Meigou.com. But you have to make it in advance that the profit margin of this brand is very small, and it is impossible to give Meigou.com the conditions for an exclusive online agency of 50% off."

For example, the Huashang brand sells online at 50% off for 50% off. That is because the Huashang brand's pricing leaves enough profit margins. Even if it is 50% off, the company still has a lot of money to make.

But the preferred products are definitely not good. It is because the gross profit is low, and high-quality fabrics must be used and relatively exquisite cutting technology can be used to set the price to one or two hundred. How much profit can there be? Therefore, it is impossible to give Meigou.com a 50% discount.

Xu Jing didn't care about it after hearing this, but just nodded. Although she was the general manager, wouldn't she still have to listen to Wang Ye in the end?

The major shareholders of Meigou.com and Youpin are all Wang Ye. How to cooperate at that time, he will give guidance and everyone will follow the implementation.

Wang Ye turned to Li Xin again: "How much is expected to reach sales and profit margin this year?"

As CFO, Li Xin is of course very familiar with the company's data. He directly replied: "Now the number of registered users in the company is basically saturated, and the user growth is relatively slow, so sales are relatively stable. As of the end of April, sales have reached 32 billion, and annual sales are expected to reach about 110 billion, and the company's net profit is between 16% and 20%.

This data is unique among Internet companies, of course, those game companies need to be eliminated.

Like Amazon, Alibaba, JD.com, etc., they are still making huge losses every year.

The profitability of Meigou.com also depends on its direct sales model, which is to purchase at low prices and large-scale products, or to directly sign an exclusive supply and marketing agreement with the manufacturer and then sell it on its own.

This way, the profit margin is relatively large.

Wang Ye nodded with satisfaction. Such impressive financial statements will surely make investors more confident during the roadshow.

Although the outside world now speculates that Meigou.com can make profits, outsiders do not know how much sales and how high net profit margin are.

Because Meigou.com has not been listed yet, there is naturally no need to disclose financial information.

However, the sales of only barely exceeded 100 billion yuan, which was still a bit low. Wang Ye asked again: "If you don't add a brand, is there any way to increase sales?"

Xu Jing pondered for a moment before answering: "Then we can only do promotions and sacrifice a certain amount of profit to increase sales."

There are gains and losses. Without a big breakthrough, it is not that easy to increase sales in a short period of time unless profit is sacrificed.

Wang Ye also had a headache. Although his vision and pattern were far superior to ordinary people, he was not a god after all, and everything was impossible to go well.

Just like now, if you want to significantly increase the sales of Meigou.com, you can't think of any good way for the time being.

After thinking for a while, Wang Ye asked again: "Large-scale promotions must not be done frequently. It's enough to have that shopping festival, but do you have good ideas for small promotions?"

Xu Jing replied: "Our marketing department is planning a promotional column, which is a bit different from the previous promotion model, which is to adopt the limited sales model. Choose a brand or category every week and conduct limited-time and limited-time promotions in a limited manner."

Wang Ye's eyes lit up and he blurted out: "Search to kill?!"

Xu Jing looked at him blankly and asked in confusion: "What instant kill?"

"Haha, I mean, this promotion you planned will be more appropriate to name it as flash sale."

Seeing Xu Jing's reaction, Wang Ye remembered that no website has engaged in "flash killing" activities yet, so Xu Jing didn't know what this meant.

"Flash kill? Not bad." Xu Jing pondered for a while, and felt that the word was very appropriate.

Wang Ye's idea was suddenly opened by this "flash kill" event. He remembered a major killer that major e-commerce platforms in the future, that is, "big data analysis"!

In a few years, if an Internet company does not engage in big data analysis, it will be embarrassing to say that it is a Internet player.

And at that time, many users will be surprised to find that after searching for a certain keyword on the website, they open the web page, and the products recommended to them on the full screen are related to that keyword.

For example, if you search for the keyword "Ma Yinglong" on a search engine, no matter what website you open, you will find various advertisements such as "Yuanda XX Hospital", "painless surgery without surgery", "minimal invasive treatment, ten minutes to get out of bed".

Or you occasionally search for "what brand of mattresses is the most comfortable" online. When you go to the e-commerce website, you will find that it recommends a variety of mattress promotional information to you.

Isn't it amazing? This is the application effect of big data analysis.

Big data analysis refers to the analysis of data of huge scale. Big data can be summarized into 5 V, with large data volume (Volume), fast speed (Velocity), many types (Variety), Value (Value), and Veracity.

With the advent of the big data era, big data analysis has also emerged.

For the e-commerce industry, data analysis is very important and can indeed bring practical results.

For example, use data analysis to make user portraits for precise marketing; use data analysis to improve the structure of existing products and give users a better shopping experience.

Use data analysis to manage the life cycle of users, improve user loyalty, and reduce user churn; use user purchase data to explore user potential needs, provide precise services, expand influence, etc.
Chapter completed!