An hour later, at the old coffee shop, Fang Dazhuang and Zhou Xinran were already sitting opposite Zhou Yi.
It was still the classic coffee, still the classic aged vinegar. After adding a little bit of it, Fang Dazhuang drank it very happily.
By now, Zhou Yi and the other three have become regular customers of the cafe, and even the table in the corner where they often sit is reserved for them.
Regarding today's matter, Zhou Yi didn't know what to say, so he just asked Fang Da Zhuang. As a result, Fang Da Zhuang directly told him to meet at the usual place, so he had to meet there.
After sitting down and finishing his coffee, Zhou Yi finally spoke up, "Mr. Fang, what you said before was that this was all just big data price gouging? I don't think this platform would be that stupid, right?"
Fang Dazhuang smiled and said, "Whether it's really big data targeting of old customers, I can't be completely sure at this point. I can only say that from your description, it seems that this is big data targeting of old customers."
"Speaking of which, the issue of big data targeting old customers has been discussed for two years, but unfortunately, there are currently no relevant cases."
"No? Mr. Fang, I've heard of this term a few years ago. Back in 2018, it was the top buzzword online. I think it was even called the year of big data price gouging. How come there haven't been any precedents yet?"
Of course Zhou Yi knew this word before.
To be precise, in the past few years, big data was a hot word. No matter who you were, you would talk about big data all the time, as if big data could solve all problems.
But Zhou Yi actually didn't feel any cold at that time, and now he feels even less so.
When you open various APPs on your mobile phone, you will be presented with various consent terms and privacy terms. If you do not agree, you cannot use them.
Once you click OK, all your information will be collected naturally, and then corresponding algorithms will be used to calculate and analyze your consumption patterns, consumption behavior habits, etc.
There doesn't seem to be anything wrong with this kind of behavior being put on the market.
If you use our APP, you have to agree to our requirements, otherwise don't use it.
There is indeed nothing wrong with it, but what people hate is not big data, but "killing the familiar"!
"Ever since the word 'buy and sell' came into being, there have been two ways of doing business: cheating the newbies and taking advantage of the old ones. Even today, these two methods are still used by many people. They are very classic, very classic!"
"Bullying the newbies is taking advantage of your lack of understanding of the situation, while exploiting the acquaintances is using the acquaintance model to make more money from you."
"Our country is a society of acquaintances. Exploiting the trust between acquaintances to conduct fraudulent transactions is the simplest form of exploiting acquaintances. Of course, the most classic form of exploiting acquaintances is naturally pyramid schemes."
"In addition, the sales promotion in previous years and the WeChat business in the circle of friends in the past two years are also high-risk areas for price gouging."
Mr. Fang was in a talkative mood again, so Zhou Yi quickly turned on the sports camera. All of Mr. Fang's words could be made into a video, and the number of views remained high.
Regarding Zhou Yi's behavior, Fang Dazhuang just smiled and continued, "So, no matter how things change, they still remain essentially the same. Those Internet companies, you say they are high-tech, right? They seem to be high-tech companies."
"The Internet, that was very fashionable many years ago."
"But are you saying they're really using high technology? That's not entirely true. They've taken the methods passed down by our ancestors to the extreme, using information advantages to exploit familiar customers. The essence is the same."
"If I had to explain the difference, I would say the familiarity here is the one-sided familiarity of the internet platform with its users!"
Mr. Fang spoke in great detail, and Zhou Yi and Zhou Xinran listened attentively beside him.
Anyway, judging from the current situation, Mr. Fang’s research on big data price discrimination has definitely been going on for a long time.
According to Fang Dazhuang, the first country to engage in big data price discrimination in the normal sense was not China, but Amazon, the e-commerce giant on the American side.
He once implemented dynamic pricing for the discs he sold by analyzing a variety of personal data. If you were a new user or a user with a weak desire to buy, the price would be lower.
If you are an old user, or a user with a strong desire to buy, the price will be higher.
As expected, I was criticized and had to cancel it quickly, but the method I used was learned by others.
Today, algorithms are much more powerful than they were twenty years ago.
We can even say directly that you yourself are not as good as algorithms, and you don’t understand you as well as big data!
"Isn't that scary? Big data targeting old users, active users, member users, and users of more expensive operating devices."
“So, using an expensive phone will also be targeted!”
"Speaking of which, Zhou Yi, your case is similar to the one that was discovered by the first person to be exposed for big data price gouging. Both of them learned the current room rate from the hotel after checking in, and then discovered that they were being overcharged by the platform."
At this point, Fang Dazhuang laughed again: "Really, I can't say they are the same, I can only say they are exactly the same."
"That guy used his phone to book a hotel for 380 yuan a day. He learned from the hotel that it was the off-season and the hotel price was 300 yuan. Then he used his friend's phone to search for the hotel room and it was 300 yuan, but when he searched on his own phone, it was 380 yuan."
"So you can actually change your phone, or ask your friends to search and see how much the hotel room actually costs."
What the hell, there is actually a precedent for what I'm doing?
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