Meta explains that Feed, Feed Recommendations, Explore, and Reels rely on distinct AI ranking systems that select and order content for each person. A tactic that helps one surface is therefore not a universal formula for reach.
What happens before a post appears?
The system begins with eligible content, evaluates signals related to the content, account, and user behaviour, then makes predictions about how relevant that item may be to that individual. Distribution is personalised, so the same post can receive very different exposure across users.
What does this mean for brands?
- Design for the surface rather than treating Instagram as one undifferentiated channel.
- Make each idea understandable without assuming the viewer saw earlier posts.
- Review follower and non-follower reach separately.
- Compare Reels with Reels and static posts with static posts.
- Do not treat popular advice—such as a fixed hashtag count—as platform policy unless the platform publishes it.
How should performance be read?
Begin with the content objective. Discovery content can be read through non-follower reach, continued viewing, and sharing. Trust-building content may be better judged through saves, profile visits, enquiries, and the quality of discussion. Likes alone cannot evaluate every format.
The practical conclusion
The useful update is not a new trick. Ranking is personalised and surface-specific. Focus on audience relevance, format fit, and a clear opening, then test and read the result in context.
Sources: Meta — Instagram Feed, Meta — Feed Recommendations, Meta — Instagram Explore
