Current location - Recipe Complete Network - Catering industry - Netizen takeaway encounters "big data killing". Have you ever tried to enjoy membership service at a high price?
Netizen takeaway encounters "big data killing". Have you ever tried to enjoy membership service at a high price?
To tell you the truth, I have really experienced this kind of thing. Because I spent a lot of money on the US Mission, I had already been promoted to a platinum member, but I didn't know that I really enjoyed the high-priced membership service until I knew that big data was ripe. When this happened, I didn't particularly believe it, and I still don't understand it. Obviously, members will get a 10% discount or a 15% discount, but the price is often more expensive than ordinary members or people without members. After reading many examples, I am quite sure about it. And it was cooked twice by big data, once for takeaway and once for hotel.

Big data killing The so-called big data killing is actually something that the US Mission specifically acknowledged. This kind of incident mostly happens to netizens who often use Meituan. Such netizens often spend a lot of money on the US delegation and have a high reputation guarantee. Therefore, Meituan does not have to worry that such users will not use Meituan in a short time. On the other hand, the platform will tamper with some data in order to ensure the interests of itself and businesses. For example, the price of a rice noodle is 10 yuan, but the store is offering a discount of 10 minus 2. This less favorable display data will only be displayed on the mobile phones of regular customers. In contrast, the discount amount on ordinary users' mobile phones may be 10 minus 5. Although the discounts are different, the stores that engage in activities are the same. Meituan only takes advantage of the psychology that regular customers often spend, so there is no need to worry that regular customers here will not place orders to buy. Instead, they will use special discounts to retain new customers and gradually turn them into old customers.

Take-out discounts reduce loneliness. As mentioned earlier, I use a lot of beauty groups, so I often order some takeout when I am too lazy to move. That day, my friend and I used our mobile phones to order takeout. Because sitting together at that time, it was easy to see each other's mobile phones. We chose the same store, and my full discount is 15 minus 4. I thought this discount was already very cheap, but my friend said his discount was 15 minus 8. At that time, I especially didn't understand why he didn't use it for the first time. After comparison, it was found that it was indeed the same store, which also made the killing of big data more real.

If I can't go home in a short time, I will definitely book a hotel, and I often book a hotel with the US delegation. I also went out with my friends to watch the related content, but the price of my hotel is about 30-40 more expensive than my friend's, but at this time I have decided to place an order.

It is these two experiences of enjoying membership services at high prices that make me feel very unhappy.