Adam Mosseri, the head of Instagram, has released a series of informative videos on his Instagram profile aimed at clarifying the platform’s algorithm and illustrating how it ranks content.
This video series seeks to address growing concerns regarding algorithmic impact on content trends, particularly in light of new regulations being considered by the Australian government, while also equipping creators with valuable insights to enhance their Instagram posting strategies.
Many of the insights shared by Mosseri have been somewhat standard and may not offer significant revelations, particularly to seasoned social media managers. evaluating these details from a social media marketing perspective can provide fresh insights or considerations that are worth exploring.
From the information presented in Mosseri’s discussions on the algorithm, the key takeaways are as follows:
- Instagram employs an algorithm to sort content, ensuring users see the most relevant posts and maximize their app experience.
- Without algorithmic ranking, users’ feeds would be cluttered with posts from accounts that post frequently. “Businesses and brands tend to produce more content than individual creators,” resulting in a diminished user experience.
- In the absence of content ranking, users encounter less content overall, which decreases the average reach for creators.
- The ranking algorithm is based on systematic predictions regarding user interactions with posts, such as likelihood to view, share, or engage with the content.
- Timeliness is crucial in content ranking, which is why the feed is generally organized in a chronological manner.
- Creators aiming to boost their post reach should prioritize engagement rates over total views or likes.
Mosseri also highlighted four foundational principles that shape Instagram’s algorithm:
- Originality – The platform favors original content from creators, rather than posts that are simply re-shared.
- Recency – The timing of a post significantly impacts its ranking and visibility; newer content receives more exposure.
- Emerging content – Mosseri mentioned that Instagram promotes posts from smaller creators to audiences who don’t follow them, aiming to gauge engagement and potentially elevate new talent.
- Model size – Instagram has enhanced its AI models to incorporate a wider array of factors from various posts, refining its ranking capabilities.
Additionally, Mosseri pointed out that users can shape their feed content through direct feedback mechanisms, including the favorites list, the “Not interested” feature on individual posts, and the Your Algorithm option, which allows users to adjust topics assigned to their interests.
Mosseri also recommended that creators should try various content types and strategies, as trends are constantly shifting. What resonates with audiences one week might not have the same impact the next. He suggested experimenting with Reels as a way to adapt to these changes.
According to Mosseri, creators should aim to post frequently to enhance their chances of achieving viral success while also managing their time effectively to prevent burnout.

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