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Instagram allowing users to customize their feeds by topic means brands may see a drop in overall views. However, this is a positive shift. It ensures content is served to a pre-qualified, highly interested audience, making the remaining views more valuable and likely to convert than mass, untargeted reach.

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Platforms like TikTok and Instagram now use AI algorithms to show users content they are interested in, regardless of whether they follow the creator. This shift means brands can achieve massive reach without a large following by creating content that strongly appeals to niche interests.

Social media has evolved into 'interest media.' The algorithm is so effective that the content itself—the words you use, your background, your appearance—is the primary targeting mechanism. Instead of chasing broad appeal, create content specifically for your ideal avatar, and the platform will find them for you.

Platform algorithms now prioritize showing users content relevant to their interests, regardless of who they follow. This means a brand's follower count is less important than the relevance of each individual piece of content. Any creator can achieve massive reach on a single post, making it a true meritocracy.

Social media has shifted from 'social' to 'interest' media, where the algorithm targets users based on the content they consume. Making hyper-specific content for your target audience is the most effective form of targeting. Resist making broad content for vanity metrics, as it won't reach qualified buyers.

Instagram now lets users explicitly select topics for their Reels feed. This shift means creators with a tight, consistent content focus are more likely to be surfaced repeatedly. Accounts covering multiple disparate topics risk being filtered out as users narrow their preferences, making niche expertise more critical than ever for discovery.

Users can now manually add or remove interest categories to customize their feed algorithm. This allows creators with a well-defined niche to be directly recommended to users who have explicitly expressed interest in that topic, leveling the playing field for smaller accounts to get discovered.

Algorithms increasingly serve content to non-followers based on their interests, not just social connections. To succeed, marketers must shift from engaging existing followers to creating "recommendable" content that appeals to a broader, topic-focused audience.

Marketing on social media is no longer about who follows you ('social graph') but about what the algorithm shows users based on their behavior ('interest graph'). This fundamental shift forces brands to create a high volume of content tailored to specific consumer segments to achieve relevance and reach.

The era of building a follower list like an email list is over. Platforms now use an "interest graph," meaning a post from an account with few followers can go viral if the content is compelling. This shift democratizes reach and prioritizes content quality above all else.

Instagram's test allowing users to control their algorithm by selecting topics might harm discovery. Market research consistently shows a gap between what people claim they want and their actual engagement habits, creating unpredictable outcomes for content creators.