Regulatory agencies have long banned the issue of big data maturity. However, there are still many platforms that conduct big data maturity by judging users’ past transaction records, device models, cities and other data. For example, one of the hot topics on Weibo today was that three users purchased the same flight at the same time, and the ticket prices were very different. The tested models were two Android devices and one iPhone. Among them, the lowest price among the Android devices was 400 yuan, and the other one was 481 yuan, while the price of the same flight queried on the iPhone was 1,330 yuan.
The user inquired about the flight from Zhengzhou to Zhuhai on February 7. The results of the two Android devices not only showed a lower ticket price but also a cash rebate of 160 yuan, while the iPhone query showed a high price and no cash rebate.
In fact, this looks very much like a big data problem. Even if the iPhone is removed but the query price of two Android devices is compared, there is a difference of 81 yuan. The ticket itself is only about 400 yuan, and the difference of 81 yuan is already very big.
Of course, Fliggy’s official customer service would not admit it after it appeared on Weibo’s hot search list. Fliggy said that it was by no means a big data trick, and random discounts were different. The details were displayed at the time of payment.
The problem is that I don’t see any additional discounts from the pictures. In addition, there are no random discounts that can make the price difference several times. The standard price cannot be 1,330 yuan. 400 yuan and 481 yuan are both discount prices. The extent of the discount is really surprising.
In addition, Fliggy customer service also said that it may be that the agent made a price error or the user received a large coupon. The staff is trying to contact the user who posted the video. This statement was also a common response in various big data marketing campaigns in the past, and I guess everyone doesn’t believe it.