Dateme.doc first came
本帖最後由 HongKongPhone 於18:55 編輯When it was first born. It expresses the yearning for rational, long-term, romantic relationships. Many American media encouraged people to create their own dating documents when out, describing it as a "Hyper-Optimized Quest for Love". The question, however, is that while dating docs appear to be fighting software algorithms and the randomness of relationships, can they actually create high-quality relationships unlike those of online dating in the past? Joseph’s thoughts on Dateme.doc Joseph admitted that Dateme.doc did not work for him because he received no attention at all and no one cared about the
documents he wrote, let alone subsequent appointments. Dating docs, he argued, seemed to work only for people who were themselves followed by a lot of people. He compared the principles of Dateme.doc to a "marketing Hong Kong Phone Numberfunnel": customers become interested in a product or service after learning about it, compare between different options, and finally make a purchase decision and launch subsequent promotions. The difference is that the "products" here are real, living individuals, and product information is presented in the form of field labels containing personal information. The implementation path of marketing
https://lh7-us.googleusercontent.com/BuYyHVybDkh38QBplW38l4ikvbFJyZBiGQbjrD5zTIvKZTnC9sHxLkBzUhkSwHj_e1Aub3s_xmNSlUkly5Y44vm3AXwiuXxDNYkdQ0gbBihfGL4vwQmKnDKVF0eO4YQSPwLYQ0HwZxHn3u_L
funnel" | Source: Internet "Xiaoxiao" (screen name), a user of Dachanger's blind date document, also feels that "this online document is like a market. You first see how much money you have, and then everyone chooses products that they can afford or match. So-called Young people’s anxiety about marriage and love is caused by everyone creating anxiety for themselves.” On the one hand, "visibility" is an important factor that affects whether a document can function. Social media platforms transform private expressions, performances, and exchanges into valuable attention and data, helping recommendation
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