The ranking and distribution system a platform uses to decide which content gets shown to which users, in what order.
"The algorithm" on Instagram, TikTok, YouTube, X, and LinkedIn is a machine-learning ranking system that orders content for each user's feed. It considers hundreds of signals: the viewer's past engagement, the creator's past engagement rates, content recency, completion rate, saves/shares/comments, dwell time, and similarity to content the viewer has previously engaged with.
The practical implications: (1) each viewer sees a personalized feed, so "what's working in your niche" is the only useful benchmark — global metrics are misleading. (2) Recency decays fast; most posts get 90% of their lifetime reach in the first 24–48 hours. (3) Signals compound — early engagement (first 30–60 min) heavily influences whether the platform keeps pushing the post.
Algorithms change constantly. Tactics that worked 18 months ago (hashtag spam, follow-for-follow, posting at 9am sharp) mostly don't work today. The durable strategy: produce content people want to save and share, which is the one signal every algorithm has agreed on.