How do I get onto and benefit from algorithmic/editorial surfaces (Release Radar, Discover Weekly, Radio, pre-saves, metadata)?

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Algorithmic vs editorial&#010;  Surface: Release Radar&#010;  Gatekeeper: algorithm to your followers&#010;  Primary trigger: pre-saves and profile follows&#010;  Hot window: day 0–1&#010;&#010;  Surface: Discover Weekly&#010;  Gatekeeper: collaborative filtering&#010;  Primary trigger: high saves, low skips, playlist adds&#010;  Hot window: day 7–21&#010;&#010;  Surface: Editorial playlists (e.g., New Music Friday, Fresh Finds)&#010;  Gatekeeper: human editors plus data&#010;  Primary trigger: early, well-written pitch and buzz&#010;  Hot window: day-0 refresh and weekly&#010;&#010;  Surface: Spotify or Apple Radio&#010;  Gatekeeper: algorithmic&#010;  Primary trigger: engagement velocity and related-artist graph&#010;  Hot window: continuous&#010;&#010;Prerelease setup (T-30 to T-14 days)&#010;  • Upload final master: give editors time and prevent last-minute errors; aim ~-14 LUFS loudness, hook by 0:25&#010;  • Metadata hygiene: correct genre, moods, BPM, key, contributors&#010;  • Pre-save campaign: guarantees Release Radar reach; target 500+ pre-saves&#010;  • Canvas / motion art: reduces skips; add a 6–8 second loop&#010;&#010;Editorial pitch (≤500 characters)&#010;  • Hook line, story, social proof, marketing plan&#010;  • Submit at least 7 days ahead; earlier (T-14 to T-28) earns more eyeballs&#010;&#010;Crush the first 48 hours&#010;  • Direct track URI links in socials&#010;  • KPI: saves per day — benchmark 800+&#010;  • IG or TikTok Reel with “Save on Spotify” overlay&#010;  • KPI: save-to-stream % — benchmark 10%+&#010;  • Discord “save squad” leaderboard&#010;  • KPI: streams from “Other” — keep under 20%&#010;  • Fan playlist seeding (friends’ lists)&#010;  • KPI: playlist-adds per listener — benchmark 3%+&#010;  • Pull the track from any playlist delivering <3% saves or >50% skips&#010;&#010;Sustain momentum (days 3–21)&#010;  • Day 3: collab duet or stitch with feature artist to add new follower-graph edges&#010;  • Day 5: “behind the song” YouTube Short to raise watch time and seed Radio&#010;  • Day 7: indie-curator push via SubmitHub, Groover, One Submit batch to feed Discover Weekly&#010;  • Day 10: meme reposts + IG Story sticker poll to refresh Release Radar via external shares&#010;  • Day 14: acoustic or remix drop for second-wave saves and editor re-add chance&#010;&#010;Monitor and react — early-warning dashboard&#010;  Save-to-stream&#010;  • Green: 10% or higher&#010;  • Yellow: 6–9%&#010;  • Red: under 6%&#010;&#010;  Skip rate at 30s&#010;  • Green: 25% or lower&#010;  • Yellow: 26–40%&#010;  • Red: over 40%&#010;&#010;  Streams from “Other”&#010;  • Green: under 20%&#010;  • Yellow: 20–35%&#010;  • Red: over 35%&#010;&#010;  Playlist follower jumps&#010;  • Green: under 5% daily&#010;  • Yellow: 5–10%&#010;  • Red: over 10% indicates bot risk&#010;&#010;  Green → scale promo; Yellow → tweak creative; Red → remove placement or revise targeting&#010;&#010;Common mistakes and quick fixes&#010;  • Pitch sent <7 days before release&#010;    • Fix: upload earlier next release; editors need lead time&#010;  • Wrong genre or mood tags&#010;    • Fix: update metadata and re-pitch; wrong bucket ≈ near-zero chance&#010;  • Long intro (hook at 0:45)&#010;    • Fix: edit a radio cut with hook by 0:25 and re-upload&#010;  • Buying guaranteed streams&#010;    • Fix: pull track and demand refund; bots kill discoverability&#010;  • One-and-done marketing&#010;    • Fix: schedule weekly micro-content for 21 days&#010;&#010;Key takeaways&#010;  • Early pitch and clean metadata open the editorial door.&#010;  • Pre-saves and a front-loaded hook secure Release Radar reach.&#010;  • Save rate and skip rate decide Discover Weekly and Radio fate — monitor daily.&#010;  • Stack genuine playlist adds and social proof in days 3–14 to keep algorithms firing.&#010;  • Remove bad placements fast and document every metric so future releases climb higher.&#010;