Part 3
KPI Guide — What Each Metric Tells You
Each KPI answers a specific question. None of them is sufficient on its own. The value is in how they combine — a high score on one metric means something completely different depending on what the other metrics say.
Catalog Momentum
Source: artist_stream_trends.csv · Recent 4 weeks vs. prior 4 weeks · Tracks ≥8 weeks old
"Are people going back to the old stuff?"
This is the single best indicator of whether an artist has staying power. It measures growth in streaming of tracks that are at least 8 weeks old — so it excludes new release spikes entirely. When catalog momentum is high, it means people are discovering or rediscovering the artist's existing library. That's organic pull — the kind of streaming behavior that doesn't require marketing spend to sustain.
Think of it as the answer to: "If we stopped promoting this artist today, would their numbers go up or down?" High catalog momentum = they'd hold or grow. Low catalog momentum = they'd fall.
When it's high (P70+)
Organic discovery is happening. Algorithmic recommendations are working. Catalog is pulling its weight. Each new release potentially adds another track that compounds the effect.
When it's low (P30−)
The catalog is fading. Listeners aren't going back. This is normal for artists between cycles, but concerning if it persists during active campaign periods. May indicate playlist dependency — streams came from placement, not fandom.
Release Momentum
Source: track_stream_debuts.csv · Avg % change between consecutive debut weeks · Past 12 months
"Is each new release bigger than the last?"
Release momentum measures the trajectory of debut week performance — not the size of any single release, but whether the trend line is going up or down. An artist whose releases debut at 50K, 80K, 120K, 200K has strong release momentum even if those numbers are small in absolute terms. An artist going from 5M to 3M to 2M has weak release momentum even though the numbers are huge.
This is your leading indicator for campaign effectiveness. If marketing, playlisting, and promotion are working, each release should be reaching more people than the last. When release momentum declines, something in the pipeline is broken — it could be music quality, rollout timing, playlist support, or audience fatigue.
When it's high (P70+)
The artist is building. Each release expands the audience. This is the trajectory that justifies increasing investment — the returns are compounding.
When it's low (P30−)
Releases are shrinking. The audience isn't growing with each new drop. Could indicate: release fatigue (too many drops), declining music-market fit, or loss of platform support. Requires diagnosis — the metric tells you something is wrong, not what.
Instagram 1M Follower Growth
Source: KPIs.csv · Growth rate per 1M followers
"Is the artist's cultural footprint expanding?"
Instagram follower growth normalized per million followers measures cultural momentum beyond music. People follow artists on IG for lifestyle, personality, visual identity — not just songs. High IG growth often precedes streaming growth because it indicates expanding cultural relevance.
The normalization per 1M followers matters because gaining 10K followers when you have 50K is very different from gaining 10K when you have 10M. This lets you compare artists across scales. Note: Crawley's instructions call for percentiling within follower buckets, but we're missing the follower count data — current percentiles are global.
When it's high (P70+)
People want to follow this person. Cultural relevance is expanding. If streaming metrics are also high, the whole picture is healthy. If streaming is low but IG is high, you have the "Converter" archetype — the person is ahead of the music.
When it's low (P30−)
The artist isn't growing their cultural presence. For established artists this is normal (hard to grow a 20M following). For developing artists, it's a warning — the content or positioning isn't resonating.
TikTok 1M Follower Growth
Source: KPIs.csv · Growth rate per 1M followers
"Is the artist relevant on the discovery platform?"
TikTok is the primary music discovery platform for listeners under 25. Growth here signals that the artist (or their music) is entering the cultural conversation — whether through their own content, UGC, or sound trends. Unlike IG, TikTok growth can be music-driven even when the artist isn't posting, because sounds travel independently.
Critical context: low TikTok growth isn't always a problem. For artists whose audience is 30+, or whose genre doesn't travel well on TikTok (jazz, classical, heritage rock), this metric is less relevant. The score should be read alongside audience age and genre.
When it's high (P70+)
The artist or their sounds are gaining cultural traction on the primary discovery platform. For developing artists, this is one of the strongest leading indicators of streaming breakout.
When it's low (P30−)
Before reacting: check the audience age. If the core audience is 28+, low TikTok growth is expected and not actionable. If the audience is under 25 and TikTok growth is low, the music or content isn't finding the discovery channel.
Instagram Engagement Rate
Source: ig_engagement.csv · Worldwide
"Do the followers actually care?"
Follower count measures reach. Engagement rate measures intensity of connection. An artist with 200K highly engaged followers has a more actionable audience than one with 2M passive followers. Engagement rate answers whether the audience is paying attention — liking, commenting, sharing, saving — or just scrolling past.
For Campaign Ops, this is a campaign readiness indicator. High engagement means announcements land. Tour on-sales convert. Merch drops sell. Low engagement means the follower count is decorative.
When it's high (P70+)
The audience is activated. Content resonates. Campaign announcements through this channel will reach people who act on them.
When it's low (P30−)
The followers are there but they're not engaging. Could mean: content quality, posting frequency, or an audience that was acquired through paid campaigns and doesn't have organic connection.
TikTok Like-to-View Ratio
Source: tiktok_engagement.csv · Worldwide
"When people see the content, do they react?"
TikTok's algorithm gives everyone impressions — the like-to-view ratio measures what happens next. A high ratio means content quality is high: when TikTok shows this artist's content to someone, that person likes it. This is different from follower growth (which measures whether people come back) — it measures whether individual pieces of content hit.
For music specifically, high like-to-view ratios on an artist's TikTok content correlate with UGC pickup — creators are more likely to use sounds from artists whose content performs well, because they've seen the engagement proof.
When it's high (P70+)
The content is connecting. Each post pulls its weight. This is an artist where TikTok-native campaign strategies (challenges, creator partnerships, sound seeding) have a high probability of working.
When it's low (P30−)
Content isn't landing. Could be a content strategy issue (fixable) or a platform-audience mismatch (structural). Check against follower count — very low followers with low engagement means insufficient data, not necessarily bad content.
Lean Forward %
Source: KPIs.csv · Sony artists only
"What percentage of the audience is actively choosing this artist?"
This is arguably the most important metric in the entire system. Lean forward percentage measures how much of an artist's streaming comes from listeners who actively sought them out — searched their name, went to their profile, added them to a personal playlist — versus listeners who encountered them passively through algorithmic playlists, radio, or someone else's queue.
Why this matters more than total streams: An artist with 50M weekly streams and 25% lean forward has 12.5M "real" streams. An artist with 5M weekly streams and 80% lean forward has 4M "real" streams. The first artist looks bigger, but the second artist has a more durable, defensible audience. Pull the playlist support from the first artist and they lose 37.5M streams. Pull it from the second and they lose 1M.
When it's high (P70+)
The audience is self-sustaining. These streams don't depend on platform support. The artist has genuine fans, not just listeners. Campaign should focus on growing the base, not maintaining it — it maintains itself.
When it's low (P30−)
The artist is playlist-dependent. The streaming number is real but fragile. Campaign strategy should shift toward fan conversion — turning passive listeners into active seekers. This is the "Iceberg" archetype: big on the surface, thin underneath.
Lean Forward Streams per User
Source: KPIs.csv · Sony artists only
"How obsessive is the core audience?"
If lean forward % tells you how many active fans there are, LF streams per user tells you how intense they are. An active listener streaming 3 tracks and moving on is a casual fan. An active listener streaming 12 tracks per session is obsessed. High LF per user is the strongest predictor of merch sales, ticket purchases, and superfan monetization potential.
Read this alongside lean forward %: High LF% + high LF/user = large, intense fanbase (best case). Low LF% + high LF/user = small but fanatical core surrounded by a passive majority (Tate McRae pattern). High LF% + low LF/user = lots of active but casual listeners. Low LF% + low LF/user = nobody is actively engaging (worst case).
When it's high (P70+)
The core fans are deeply engaged. These are the listeners who buy vinyl, attend shows, buy merch, and recruit friends. Monetization and fan community strategies have high ROI with ther audience.
When it's low (P30−)
Even the active listeners aren't going deep. The music may lack replay value, or the catalog may be too thin. This can be a timing issue (new artist with only 3 tracks) rather than a structural one.
Core Streaming Age
Source: KPIs.csv · Sony artists only · Weighted average from Spotify age distribution
"How old is the listening audience?"
Audience age determines which campaigns work. A 20-year-old audience is on TikTok, buys concert tickets impulsively, and discovers music through social. A 35-year-old audience uses Spotify's Discover Weekly, responds to email marketing, and discovers music through editorial coverage. Same artist, same music — completely different campaign playbook depending on this number.
The system scores younger audiences higher. This is an editorial choice that reflects the music industry's structural preference for younger demographics (longer lifetime value, higher social amplification, more platform discovery surface). It doesn't mean older audiences are worse — it means the label's marketing infrastructure is more optimized for younger ones.
When it's young / high percentile
Social-first campaigns, TikTok strategies, and cultural moment marketing are most effective. Their audience discovers through platforms and peers. Tour marketing should lean into festival and event strategies.
When it's older / low percentile
Editorial, playlist, radio, and sync strategies become more effective. Their audience discovers through curation, not virality. Campaign should prioritize quality touchpoints over volume of impressions.
Core Socials Age
Source: KPIs.csv (originally labeled instagram_followers) · IG follower age distribution
"How old is the social audience — and does it match the streaming audience?"
This is the companion metric to core streaming age — and the gap between them is often more interesting than either number alone. When streaming age and socials age are similar, the audience is coherent: the people following on IG are the same people streaming. When they diverge, you have two different audiences — one that follows the person (social) and one that listens to the music (streaming).
A common pattern: socials age younger than streaming age. This means the social audience is discovering the artist through content and personality, while the streaming audience is older and music-driven. That divergence tells you content strategy and music strategy are reaching different people — which may or may not be intentional.
When it matches streaming age
The audience is coherent. Marketing messages can be consistent across channels. Campaign strategy can be unified.
When it diverges from streaming age
Two audiences. Social content is reaching one group, music is reaching another. This isn't necessarily bad — but the campaign needs to acknowledge the split and potentially serve both, or deliberately choose one to prioritize.