Enhancing User Retention Rates Through X Platform Link Optimization

发布时间：2025-10-20 19:14:06 | 责任编辑：张毅 | 浏览量：3 次

Recently, the X platform announced a series of adjustments to its link handling methods to improve user engagement within the app. According to the latest information, X is testing a new way to display links, especially on iOS systems. The core of this new feature is that when users click on a link, the original post will not be completely covered by the browser, but instead will be folded to the bottom of the screen, keeping the like, reply, and share buttons always visible.
This change aims to solve a common problem: many users tend not to return to X after clicking on external links, leading to a decrease in post engagement. X believes that this user behavior limits the performance of link posts. Therefore, with the new design, users can more easily return and engage in interactions while viewing the link content.
In addition to the improvements on the interface, X's CEO Elon Musk also mentioned that future adjustments will be made to the recommendation system to increase the visibility of link posts. He stated that it is expected that within four to six weeks, the platform will gradually remove traditional recommendation criteria, such as the influence of likes and replies. Instead, an AI-driven recommendation system will be introduced, which will be able to deeply understand each post and video content, thereby matching users with the content they are most interested in.
This shift marks a major upgrade in X's algorithm and may allow accounts with fewer followers to have greater opportunities for dissemination. These new changes from X clearly indicate progress towards the "everywhere" "all-in-one app" goal, and we look forward to experiencing higher user engagement in the future.
Key points:
🌐 X is testing a new way to handle links to improve user engagement.
📈 Musk announced that the recommendation system will be modified to reduce the impact of traditional engagement metrics.
🤖 The new AI-driven recommendation system will improve the accuracy of content matching, benefiting smaller accounts.
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