In this lesson you will learn: Saves, completion, repeats, and skips—what to optimize for. How clean [[Metadata]] and delivery through LUCY support discovery. Separating myth from measurable tests.
DSPs do not publish secret formulas. Industry-observed **signals** include listener **saves**, **completion**, **repeat listens**, and **skip rate** in early sessions—paired with **accurate credits**, territories, and formats so editorial and algorithmic systems see the **same** release you promote.
Deliver **consistent** [[Metadata]] and artwork through **LUCY** so store ingestion matches your pitch and ads.. Align **go-live** time with pre-save and content drops—split signals confuse both fans and dashboards.. Reconcile **in-app** analytics with Spotify for Artists / Apple Music for Artists for a full picture.
Editorial playlists are human; algorithmic surfaces react to engagement—strategy differs by surface.