MultiCast Blog
How platform algorithms actually work, and what we can do about them.
An account's existing audience no longer serves as a guaranteed distribution list. Instead, modern interest-based algorithms use followers as a strict statistical sample to calculate a post's viability for the broader feed.
Kai RennerSurface-level interactions are increasingly discounted by modern distribution systems. A profile click, however, forces the algorithm to recalculate user interest and adjust future reach.
Kai RennerShares create immediate velocity, but bookmarks alter a post's lifespan. By signaling lasting utility, saves flatten the decay curve and keep content circulating for months.
Kai RennerAlgorithms no longer treat raw comment volume as a blind multiplier. Instead, natural language processing evaluates reply depth, meaning a flood of single-word comments can actively dilute a post's distribution.
Kai RennerPublic engagement metrics are losing their algorithmic weight. Today, the ratio of private shares to total reach is the primary signal for broader discovery.
Kai RennerThat sudden drop in views isn't a shadowban. It is the exact moment a piece of content hits a mathematical retention boundary.
Kai RennerThe first hour after publishing isn't a magical reach multiplier. It operates as a strict diagnostic window where platforms measure early signals against micro-cohorts.
Kai Renner
