Chapter 205: Profit Model
Zhang Junyi didn't care about Principal Wang's objections to his ideas, after all, in the future, it is likely that everyone will be a brother who eats in the trenches, and the more people raise objections, it proves that everyone is really interested in this cooperation, which is what Zhang Junyi is happy to see.
"Ayi is right, no matter how we plan now, shared bicycles are an emerging and no new field for us in China, so what we have to do now is to make adequate preparations, as for the effect of putting it on the market, whether this or that method can be profitable can only be handed over to the market to test. Guo Liyang was also unwilling to be lonely and said his thoughts, but his thoughts were still on Zhang Junyi's side as much as possible.
"In fact, in addition to what I just said, there is another way to make money in my heart, that is, the B2C bike-sharing model, which is more like the car rental on Ctrip, which connects with users who need to rent a car on the one hand, and local rental companies on the other.
In layman's terms, it is the establishment of a franchise-style dedicated car rental company, which replaces some of the work of our platform and specializes in supply and regional operations.
In the O2O era, this model has a resounding name, called "City Partner". Locally operating bicycles can deprive the risk from the platform, which only focuses on ensuring service quality monitoring and maintenance of the platform itself, and there are some O2O like Taobao.
However, the operation of this model is extremely difficult, and local operations are most afraid of local snakes skipping the platform to operate independently.
In the third- and fourth-tier cities in China, the voice of the local snake is particularly large, and it is very possible to build a regional platform by itself.
In addition, in order to achieve a B2C model, it is necessary to standardize all aspects of operations and ensure that localization can be replicated quickly, which is a challenge for the platform.
Of course, once this model is run, the platform will become lighter, and the operational efficiency can be greatly improved. This model is also a model of some shared bicycle operations that Zhang Junyi saw from some websites in his previous life, but what is the income in it, this is not something that a little dick like Zhang Junyi in his previous life can know, but Zhang Junyi still took it out.
"Ayi, let's do it, what else do you have in your stomach just take it out at one time, say 1,000 to 10,000, this shared bicycle is a wasteland in our country that no one has mined, now no matter how we discuss it is on paper, as the so-called grinding before, no matter whether the goods in your stomach are good or bad, it is much stronger than our dry stare here." Cai Gongzi thought about it and said to Zhang Junyi.
"Agreed!" Guo Liyang said.
"Agree +1!" Principal Wang.
"Agree +2!" Qin Yan.
"A few brothers really look up to me, in fact, this little thing in my stomach has just said almost, in the early and middle of the shared bicycle I can think of the specific way to make a profit is these, after all, as everyone said before, the project of sharing bicycles has not appeared in our country, so, we can only feel the stones to cross the river, which way is the most correct profit model of shared bicycles, no one can guarantee.
If you always stand in the perspective of the users of the platform, the previous four models are difficult to ensure 100% profitability, as an offline trading scenario, how to imagine that you can't escape the transaction itself, for thousands of years, people have tried almost all possible trading scenarios, all the transaction input-output ratio can be measured, the crowd can also be separated, and the profit margin is clear at a glance.
However, from the perspective of the Internet, profit can not only look at the transaction itself, but also not only look at the platform users, profit needs to find the most suitable payer, help the payer create the greatest value, and then let this value make money for itself.
To take the simplest example, when Google was founded, it tried to let Yahoo, Microsoft and other companies acquire its own search technology, because Google was initially positioned as a "technology services company".
But whether it's Yahoo or Microsoft, which are technology companies in their own right, why spend $1 billion on a search company that doesn't seem to have much technical content?
Everyone should know that Google was confused about the profit model at that time, because no matter how you look at it, you can't make money. Later, investors introduced Schmidt to join Google as chairman, and Schmidt's biggest contribution to Google, and even the contribution that determined Google's survival, was to help Google find the most suitable payer - advertisers.
It was Schmidt who transformed Google from a technology company into an advertising platform, and since then Google has become the fastest-growing Internet company at the beginning of the 21st century.
From this, we can see a very interesting phenomenon: Google's dilemma back then was that it had a large number of users, but these users could not pay, and it seemed that it was providing technical services for these users for free, and it was almost impossible to make a profit. Looking back now, our shared bicycles are now also facing this problem, there are a lot of users in hand, but the user payment price is very low, the cost is difficult to equalize, and it is difficult to make a profit.
In addition to these superficial features, there is another key similarity between Google and bikeshare – it has all the user's behavioral data in hand.
With data, I used to ask myself, what can data do?
Some time ago, I happened to pay attention to a European data analysis company, and the CEO of this company publicly claimed that through data analysis, they can derive a personality model of the 200 million people in the United States, who is introverted, who is cheerful, who is a radical right, who is conservative left, they can analyze. They can use this data analysis to help party candidates make targeted and precise communications, which can help increase the chances of winning the election.
This incident made me feel creepy at the time.
Through data modeling, everything about a person can be visualized. What you like, what is your family's consumption level, your health situation, whether you want to drink milk tea when walking on the road, what you like to eat in the morning, etc., big data can be concretized.
Google has proved one thing in the past ten years, through large-scale data analysis, it can help advertisers filter out more accurate group audiences and carry out targeted advertising, so as to help advertisers improve the conversion rate of target users, save advertising costs, and improve advertising efficiency.
Google has revolutionized the TV media to a certain extent, and in our country, Baidu has also revolutionized CCTV to a certain extent.
So if we have the same data in hand at that time, it also means that we can open up a new brain-opening data profit model at that time.
Any product form that can reach platform users can be called traffic, which used to be a web page, and the future may be artificial intelligence + intelligent hardware.
An assistant robot, a smart refrigerator at home, a smart bracelet, a smart home robot, and more. Because this kind of product has become ubiquitous, at this time, all aspects of a user's information have been digitized, then the form of advertising at that time may change dramatically, and any form of human-computer interaction will become Baidu's advertising carrier.
What used to be a form that could only carry advertisements through web pages may become a series of human-computer interactive intelligent hardware and artificial intelligence products to carry advertisements, and the business model of intelligent hardware will also change.
So, can our bike-sharing platform become the carrier end of the offline last-mile advertising system?"
Zhang Junyi poured out all the thoughts in his heart at one time, leaving everyone present with an open topic, and at the same time giving everyone present a semi-propositional thinking.