Unlike older algorithms that recommend content based on long-term follow history, TikTok's model prioritizes recent engagement. This 'TikTokification' across platforms means algorithms can now find an audience for off-niche content if it aligns with a viewer's immediate, short-term interests.

Related Insights

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.

Platforms like TikTok and Instagram no longer prioritize followers. Their algorithms, in a trend called 'TikTokification,' now serve content based on user interests. To succeed, brands must create content that taps into specific niches to get discovered, rather than relying on their follower count for reach.

Gary Vaynerchuk argues that platforms have evolved beyond a follower-based model ("social media"). Now, algorithms dominate, creating an "interest media" landscape where content is surfaced based on a user's demonstrated interests, regardless of whom they follow. This makes the content itself paramount over follower counts.

Due to the "TikTokification" of platforms, algorithms now favor a single piece of content's potential to engage anyone, regardless of who created it. This means sticking to a strict niche is no longer required for high views and reach, though it remains important for gaining followers.

Platforms like TikTok now prioritize content based on user interest, not just who you follow. This means a new account with zero followers can achieve viral reach on its first post if the content is compelling, a fundamental shift from the old follower-based 'social graph' model.

Platforms like TikTok and Instagram no longer primarily show content from accounts you follow. Their algorithms serve content based on demonstrated interests. This means content quality and relevance now trump follower count, leveling the playing field for new creators.

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.

The algorithmic shift on platforms like Instagram, YouTube, and Facebook towards short-form video has leveled the playing field. New creators can gain massive reach with a single viral video, an opportunity not seen in over a decade, akin to the early days of Facebook.

Platforms like TikTok fundamentally shifted content delivery from a "social graph" (friends) to an "interest graph" (hobbies, topics). This means businesses can now reach highly engaged audiences who don't follow them, making organic discovery more powerful than ever.

Unlike platforms with longer content shelf lives, TikTok's algorithm needs a constant stream of new videos on popular topics. This creates an opportunity for new creators to succeed by identifying and producing content that fills this immediate, algorithm-driven demand.