在第一篇文章裡，價格詞彙這個行銷手法並沒有任何問題，正如文章所說，這可

在第一篇文章裡，價格詞彙這個行銷手法並沒有任何問題，正如文章所說，這可以吸引顧客並提高顧客忠誠度，甚至可以透過網路分享成為一個話題，這會讓以前沒有注意價格標籤的客人為了驗證標籤是否真實存在，而前往消費，作為行銷經理，應該思考如何讓更多人看到商品標籤背後因藏的含義，並且是透過口碑行銷，像是youtube上經常有人製作一些冷知識影片等同於為公司免費行銷，如何讓公司的產品背後存在有趣的小知識才是行銷經理應該想的。第二篇文章題提到的是人工智慧應用在人力資源管理上，但行銷上的人工智慧應用已經不在是新事物，除了文章一開始提到的客製化推薦外，還有更進一步的應用，例如透過社群媒體分析用戶的需求，升級客製化推薦準確率，然而，正如第一題所說，如何取得大量資料是一個問題，透過購買市面販售的資料？或是更改公司的盈利模式，使得用戶自動留下大量的資料？至不僅僅只是行銷經理的問題，而是整個公司的問題。

結果 (英文) 1:

In the first article, the price of this marketing technique and vocabulary without any problems, as the article said, it can attract customers and increase customer loyalty, and even share the web has become a topic, it will not pay attention to the price tag of the previous guests order to verify whether the label is real, and go to the consumer, as a marketing manager, should think about how to get more people to see the meaning behind the product label for possession, and marketing is through word of mouth, people often like to make some cold-related videos on youtube equivalent to the free marketing for the company, how the company behind the product poses a funny little knowledge is a marketing manager should think.
The second article in question mentioned that artificial intelligence applications in human resources management, but the application of artificial intelligence is no longer on the marketing of new things, in addition to customized recommendation article mentioned at the beginning, there is a further application for example through social media analysis needs of users, upgrade customized recommendation accuracy, however, said as the first question, how to get a lot of information is a problem, the market data sold through purchase? Or change the company's profit model, allowing users to automatically leave a lot of information? To the problem is not just marketing manager, but of the entire company.

結果 (英文) 2:

In the first article, the price vocabulary of this marketing technique has no problem, as the article said, this can attract customers and increase customer loyalty, and even through the network to share into a topic, which will make the previously not paying attention to the price label of the guests in order to verify that the label is real, and go to the consumer, as a marketing manager, Should think about how to make more people see the meaning behind the label of goods hidden, and is through word-of-mouth marketing, such as youtube often someone to make some cold knowledge film equivalent to free marketing for the company, how to let the company's products behind the existence of interesting knowledge is the marketing manager should think.
The second article mentions the application of artificial intelligence in human resources management, but the marketing of artificial intelligence application is no longer new, in addition to the initial article mentioned in the customer recommendation, there are further applications, such as through social media analysis of user needs, upgrade the accuracy of customer recommendation, however, as the first question said, How to obtain large amounts of data is a problem through the purchase of market-traded data? Or change the company's profit model so that users automatically leave a large amount of data? It's not just a marketing manager's problem, it's a company-wide problem.

結果 (英文) 3:

In the first article, there is no problem in the marketing method of price vocabulary. As the article said, it can attract customers and improve customer loyalty. It can even become a topic through network sharing. This will make customers who have not paid attention to price labels before go to consumption to verify whether the labels really exist. As a marketing manager, we should think about how to make more Many people see the meaning behind the product label, and it is through word-of-mouth marketing. For example, some people often make some cold knowledge videos on youtube, which is equivalent to free marketing for the company. How to make the company's products have interesting little knowledge is what the marketing manager should think.
The second topic of the article refers to the application of artificial intelligence in human resource management, but the application of artificial intelligence in marketing is no longer a new thing. In addition to the customized recommendation mentioned at the beginning of the article, there are further applications, such as analyzing users' needs through social media, upgrading the accuracy of customized recommendation. However, as the first topic said, how to achieve a large number of Data is a problem. By purchasing the data sold on the market or changing the company's profit model, users can automatically leave a large amount of data. It is not only the problem of marketing managers, but also the problem of the whole company.