Meta’s Threads is continuing its push for user retention and engagement with the introduction of an “Interests” section on profiles. This new feature aims to make it easier for users to connect with like-minded individuals and discover content relevant to their interests. While Threads has seen rapid adoption, the challenge has been sustaining engagement, particularly for creators who rely on audience growth.
How the “Interests” Feature Works
The new Interests field allows users to tag topics they are passionate about directly on their profiles. When visitors view a profile, they will see these interests displayed, providing more context about the user’s content focus.
Why Threads is Introducing This Feature
The update is designed to solve a key issue with retention—creators struggling to grow their follower base. Unlike traditional social media platforms where users primarily see posts from accounts they follow, Threads, like other Meta-owned platforms, leans heavily on an AI-driven “For You” algorithm to populate feeds.
This approach ensures a constant stream of engaging content but has led to a decline in direct follows, making it difficult for creators to build loyal audiences. The “Interests” feature is an attempt to counteract this by making profiles more discoverable based on shared topics, encouraging organic follower growth.
The Shift Away from Manual Following in Social Media
The reliance on AI-driven content recommendations is not unique to Threads. Most major platforms, including Instagram, TikTok, and X (formerly Twitter), have shifted away from chronological, follower-based feeds. The logic behind this shift is clear:
- Maximizing Engagement: AI-based feeds keep users engaged by surfacing the most relevant and trending content, rather than restricting them to posts from people they follow.
- Content Discovery: Users are exposed to a wider variety of posts, broadening their engagement beyond their immediate network.
- Extended Session Time: Algorithmic feeds create an endless scroll effect, increasing time spent on the platform.
However, this approach has also led to frustration among creators, as follower counts have plateaued or even declined. Without a clear way to build an audience, many creators are less inclined to post consistently, which can reduce overall engagement.
How the “Interests” Feature Could Improve Engagement
1. Making Profiles More Discoverable
Displaying interests gives visitors immediate insight into what type of content a user shares, increasing the likelihood of a follow. Instead of relying solely on the algorithm to surface content, users can actively seek out creators based on mutual interests.
2. Encouraging Community Building
Social platforms thrive when they foster communities around shared interests. By allowing users to tag specific topics, Threads could create more topical engagement clusters, making it easier for users to find discussions and content they care about.
3. Improving the Creator Experience
For content creators, audience growth is key. The new Interests section offers another way to attract followers organically, particularly for those posting niche content. Instead of relying on chance exposure via the algorithm, profiles can become more of a landing page for attracting relevant followers.
Will This Change Be Enough?
Threads has already made algorithmic adjustments, including a November update that prioritized content from followed accounts. While this was meant to improve engagement, its impact has been limited.
The Interests feature is another step toward solving the platform’s retention challenges. However, its success will depend on how well the algorithm integrates these interests into discovery mechanisms. Simply displaying interests on profiles may not be enough—Meta will likely need to ensure that these tags influence content recommendations and search visibility to have a meaningful impact.
The Future of Audience Growth on Threads
Meta’s experiment with Interests reflects a larger challenge across social media: balancing AI-driven content curation with user-driven discovery. While algorithmic feeds dominate, users and creators still crave a sense of control over who they follow and what they see.
If Threads successfully integrates the Interests feature into its recommendation system, it could provide a hybrid approach—where both AI-driven content discovery and manual user engagement contribute to audience growth.
For now, creators and users should take advantage of this update by optimizing their profiles with relevant interests, ensuring they are easily discoverable to those who share the same passions. Whether this will significantly impact user engagement remains to be seen, but any feature that enhances discoverability and community-building is a step in the right direction.
