Everyone was quickly pondering Feng Jianxiong's shocking remarks just now.

Especially those who know the skills know how slow the game development process is.

If these tests and bug-correction cycles can be greatly shortened, and the early testing environment will be handed over to consumers directly, and the log data is forcibly crawling without regard to consumer privacy, it is indeed possible to shorten the total development cycle by half.

However, this trick is too shameless. In the years since the domestic Internet industry was born, no one has ever been so shocking that he dared to think about it.

To put it bluntly, even a beast like Ma Teng or Zhou Hongyi dare not take such a big conspiracy in the world.

But Feng Jianxiong thought about it.

First of all, he was involved in a specific sub-industry that did not exist before.

Secondly, the company he currently uses for landmines is not valuable and has no face.

There are other clever factors that allow him to try this way.

Dong Jie and Liu Yu are more ideas in the technical team.

It is also the most difficult existence to be directly brainwashed by the company's CEO or major shareholders.

Faced with Feng Jianxiong's incredible radicalism, they were still racking their brains to investigate possible problems and loopholes in the boss's arrangement.

In contrast, other technical supervisors seem to have been so shocked that they are ready to give up independent thinking and listen to high-level debates, and then they follow the one who wins the final debate.

The brainpower pays off. Dong Jie, based on his qualifications at NetEase and Duowan, finally discovered a problem in game operation.

"Mr. Feng, you said that the shell of the company that is going to launch to operate garbage is not valuable, I admit it. You said we don't have the face yet, I admit it. However, if potential consumers are disgusted by the first similar product in the industry, maybe in a few months when our real good product with a good gaming experience comes out, they will not try it again-

After the Sanmilk Powder incident was destroyed, it was not only Sanmilk Powder itself that was damaged, but the reputation and market confidence of the entire domestic dairy industry were severely damaged! Now we are the leaders of this unknown field. Will we be backfireed if we smash the entire industry's signature?

I don’t say it’s false, just give an example around me. This year, I bought a Xiaomi sweeping robot that claims to be able to learn big data pathfinding, but the pathfinding and intelligent detouring and anti-collision are really bad! The infrared probe can only detect the wall. When encountering a threshold below 5 cm, there will be blind spots and you will be stunned to hit it; when you search for paths along the wall, you will be foolish and stumbling. When you encounter curtains hanging on the ground, you will either dare not cross it or you will be completely confused.

After I have used this kind of thing, I will not think that I can forgive them because I think that ‘because data-based learning sweeping robots launched the first generation, and they are still guinea pigs, so they are not smart’. I will be fine if I have feedback. With the help of the drinks, we will only choose ‘What kind of garbage, I will never need sweeping robots anymore, unless one day most people in society start using sweeping robots, and I will follow the trend and will never be a guinea pig for black-hearted capitalists’. Moreover, I believe that my idea is not an isolated case, it should be the general psychology of any consumer. Once consumers lose their confidence in a sub-sector industry, it will be difficult to get back.”

Dong Jie's words are reasonable and well-founded. They are worthy of being mixed up in NetEase Dafa. A skilled man can express his vision one by one.

Even Zhou Tianyin felt a bit compassionate when he heard it.

"In addition, if you want to make a sufficient number of free users to be guinea pigs in a short period of time, the cost of advertising investment should be quite high, right?" This is Liu Yu's point of view. He thinks that the strategy is not as broad as Dong Jie, so he is just thinking at the executive level and putting forward some small suggestions.

Unfortunately, Feng Jianxiong once again fucked everyone's imagination.

He said contemptuously: "This means that your thinking is bound by the pre-big data era - do you think that our N-site advertising is not as technical as Youku last year or even the previous year? No matter what user clicks in, you may see the same advertisement, that is, the advertisement posted by the highest bidder? Will we classify people based on whether the user is a member, whether he has money, whether he has online payment habits, behavioral data?

If you even push the ads of the spicy chicken version to the whole life you will never make money online, but just want to get free locust zombies, and then push them to real consumers with consumption potential after they are perfected. We can't do it, and we are still making some money in this industry?"

"What does this mean?"

"Uh... I think I understand a little. Indeed, there are so many Internet advertising media in China, and the way video websites are placed is indeed the most backward. If you want, you can indeed improve..."

Dong Jie and Liu Yu were shocked and immediately began to whisper.

Zhou Tianyin was a little unable to keep up with her thinking, after all, she was born in a liberal arts student.

However, her biggest advantage is that she can ask questions without being ashamed. If she doesn't understand, just ask Feng Jianxiong directly. There is no problem of being embarrassed or being underestimated by the boss.

Feng Jianxiong explained a few words a little, and she understood.

In the Internet advertising market, web advertising intermediaries represented by Google and Du Niang were actually the first to be technically calculating and classifying user delivery.

Therefore, when many people are online, they have begun to discover that when different computers open web pages with the same URL, the advertisements displayed on them are different.

On the computers of people who often search for small yellow content, the ads on the side of the novel websites are all porn-erotic advertising links; while those serious business people's computer browsers open the same web page, maybe they are Alibaba's serious business procurement advertisements.

The reason for doing this is that the advertising fee for web page advertisements is based on effective clicks. That is, even if the user opens a certain web page but does not click on the ad, the website owner will not have advertising fees, and Google or Baidu will not receive agency fees.

This leads to the fact that Internet web advertising agencies such as Google and Du Niang cannot simply post advertisements with the most expensive advertisers across all websites, and also consider "whether this user is likely to be interested in this content", and then comprehensively weigh the overall interest weight and allocate Java-Script advertising space.

Of course, the early Google adsense system was only divided into distribution based on simple dimensions such as region and user classification, which was still very different from the "big data analysis delivery" that later (that is, it started in 2009).

However, compared with ordinary web page advertising, the classification technology of the online video advertising industry has always been very poor. First of all, American Youtube has not had bundled patch advertisements for many years, so Americans will not develop this technology. Secondly, although domestic Youku and Tudou have also started to post patch advertisements like N stations, the billing method of video patch advertisements is different from web page advertising.

Video patch advertisements are not charged with "effective clicks", but as long as the user has seen it, the advertiser has to pay.

Moreover, early patch advertisements were not allowed to be dropped. Since you want to watch free pirated videos, you have to finish watching the advertisement first.

Therefore, this model of "how much has the user absorbed from the advertisement, whether he is willing to watch it" cannot be assessed, resulting in video website owners not having to carefully serve user classification like web website owners - no matter what kind of advertisement it is, they can force users to finish reading it, so why do I have to classify it?

This is also why people later find that video website advertising is particularly annoying. Some users think that I clearly analyze it from the behavioral big data and are a person who never plays games. If you show me the "Lan Yue" advertisement ten thousand times, I can't get into the trap. Why do you still have to post the 10,000 times for me so tirelessly? Isn't this a waste of advertisers' advertising fees and completely ignore the actual publicity effect?

If I had been on Youxia.com and Youmin Starry Sky, I would have exchanged other advertising content for "What if I might be interested" after I had a dozen times?

Everything is a profit-driven behavior pattern.

However, Feng Jianxiong's n-station now wants to disbelief again.

On Youku and Tudou, they are still lying on "Anyway, all patch advertisement users have to read from beginning to end, so I don't need to use big data analysis technology to transform my placement, just focus on the most expensive advertisements that are released to users." This behavioral model is operating and operating when operating.

Feng Jianxiong, however, planned to add two innovative models: "The user can click the fork and drop the advertisement after watching the advertisement for 6 seconds" and "the advertiser is charged a hierarchical fee. For the patch advertisement that is forked, we only charge half the price of the original price for the advertising. However, for customers who have the opportunity to throw it, they are interested in watching the entire advertisement, and we charge double the advertising fee according to the original price."

First, he believes that advertisers will eventually find that this advertising model is more profitable, because a consumer who is willing to continue to read it with the opportunity to cross out the advertisement will definitely have a better publicity effect than being forced to watch it five or ten times. Secondly, this is also forcing himself to force N stations to be at the forefront of the technology of serving patch advertisements based on user big data classification, so as to achieve another curve of Youku and Tudou lying on the credit book.

Once industry practices are formed in the future, you can still carry a trick.

"In this way, when combining the operation and promotion of web games, a new possibility emerges: when recommending semi-finished bad goods to some users, it is possible that we clearly know that these people are locusts and zombies, and it is impossible to make money online for ten thousand years, nor will they buy genuine hot chickens. Moreover, these people should have almost no intersection with our future paid people in real life. They just want to try to play with free games. Once they find it too bad and want to curse, their scolding has no channel to reach our future target people.
Chapter completed!