How Social Media Algorithms Actually Work (And How to Beat Them)

A breakdown of how social media recommendation algorithms work, framed around two core mechanics: topic mapping (how platforms fingerprint and categorize content) and sample group testing (showing videos to ~200 people first to gauge fit). Key tactics include narrowing your topic and audience avatar to improve fit scores, and optimizing for watch time, engagement rate, and watchtime session share. Also covers five tactics to drive comments, such as taking contrarian stances and building around cult brands. Dismisses common myths like posting time and hashtags mattering.