Threads is overhauling its in-app analytics with more details, except for link clicks
Meta has overhauled the "insights" analytics panel on Threads, adding AI-generated summaries that give users more context about how their posts and profiles are performing. The update aims to demystify the platform's "for you" algorithm, which drives most views for the majority of users regardless of follower count, by explaining in plain language why a post did better or worse than usual.
The redesigned panel now shows Meta AI-written summaries alongside existing metrics such as views, viewers, likes and reposts, indicating whether these are "higher," "lower" or "typical" compared with recent activity. It also breaks down which "communities" and audience demographics are driving engagement, and highlights the best days and times to post. Notably absent, however, is any data on link clicks, a metric Meta had introduced only last year but has since quietly removed; a company spokesperson said Meta was merely "exploring" the feature, without explaining why it disappeared, fuelling suspicion that Threads continues to deprioritise content that sends users off the platform.
In short
- Threads adds AI-powered insights explaining post and profile performance
- New panel shows community and audience engagement breakdowns
- Link-click data has been quietly removed, with no explanation given
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The case for
The expanded insights could make Threads more understandable and useful for creators by showing which audiences and communities respond, when engagement tends to be strongest, and how a post compares with recent performance. Plain-language summaries may help users make informed choices without needing to interpret raw metrics or guess how recommendations work.
The case against
Removing link-click data leaves creators with less ability to judge whether Threads helps them reach goals beyond on-platform engagement, such as directing readers to reporting, projects or services. The lack of an explanation, alongside the platform’s reliance on its own recommendation system, reasonably raises concerns that users cannot see how well their links perform or whether off-platform traffic is being discouraged.
Explained simply
Threads is Meta’s text-based social network, where people post updates and respond to one another. Like other social platforms, it uses a recommendation system called “For You” to select posts for people to see, including posts from accounts they do not follow.
The system can shape how widely a post travels, so creators and organisations often use analytics to understand who is seeing and engaging with their posts. Views, likes and reposts offer some clues, while audience and timing information can help users decide what to post and when.
Links can take readers from Threads to other websites. Whether a platform tracks and displays link clicks can affect how users judge the reach of posts that send people elsewhere.