Audience & fan graph

Audience intelligence answers “who’s actually listening?” — per artist, per release, per market. The fan graph extends that across your full roster + storefront to show how fans connect: who overlaps between which artists, where momentum is building, which audience segments are responding to what. Full audience + fan-graph features. Pro shows per-artist audience without cross-roster fan-graph view.

Two layers

Layer	What it answers	Tier
Audience (per artist)	“Who is listening to X?” — demographics, geography, social channels	Pro+
Fan graph (cross-roster)	“Who is listening to multiple artists in my roster?” — overlap, momentum, segments	Scale+

Audience — per artist

What you see for one artist:

Section	What it contains	Source
Demographics	Age (binned), gender (estimated), language	Audience data providers
Geography	Top cities, top countries, geographic share	Audience data providers
Listener tier	Casual / engaged / fan classification	Patchline-derived from listening behavior
Social audience	IG, TikTok, YouTube, X overlap and growth	Audience data providers
Fan momentum	30-day growth across streaming + social	Audience data providers
Streaming behavior	Repeat-listen %, playlist save %, completion rate	Aggregated platform signals where available

Where to find it

Web dashboard: sidebar → Profiles → click an artist → Audience tab. Via Aria:

Fan graph — cross-roster

The fan graph is the cross-artist view. If you manage Mira, Tessa, and Cleo Bell, the fan graph shows:

Overlap matrix — how many fans listen to ≥ 2 of your artists
Bridge artists — which roster artist drives the most cross-discovery
Geographic momentum — where the roster collectively is gaining
Cluster identification — natural fan segments (dreampop heads, bedroom-pop seekers, etc.)
Storefront-fan overlap — fans who bought from your storefront and also stream multiple roster artists

Example fan graph output

You: Show me the fan graph across my roster
Aria: 5 artists, ~32k unique fans:

       Mira    Tessa   Cleo Bell   Run Hot   Velvet Bird
Mira       —    14%       18%         3%         9%
Tessa     14%     —       22%         2%         11%
CleoB     18%   22%        —          1%         8%
RunHot     3%    2%        1%         —          15%
VelvB      9%   11%        8%        15%         —

Cluster 1 (dreampop, 56% of unique fans):
  Mira + Tessa + Cleo Bell + Velvet Bird (slightly)
  Top markets: LA, NYC, London, Stockholm

Cluster 2 (electronic, 18%):
  Run Hot + Velvet Bird (slightly)
  Top markets: Berlin, Detroit, Tokyo

Cluster 3 (crossover, 11%):
  Velvet Bird connects both clusters.
  3,500 fans listen to ≥ 2 artists across clusters.

Bridge artist: Velvet Bird. Pushing her releases benefits both
clusters disproportionately.

Where the fan graph lives

Web: sidebar → Artists → Fan graph tab (Scale+).
Via Aria: “show me the fan graph” or “where’s my roster overlap.”

Streaming behavior

For each artist’s top track, Patchline surfaces:

Completion rate — % of listeners who finish the track (high = strong hook + retention).
Repeat-listen % — % who play multiple times in a session.
Playlist-save % — % of casual listeners who save to their own playlist.

These signals are stronger predictors of long-term success than raw stream counts.

Examples

Where is my growth coming from?

Aria: Mira's top growth markets (last 30d):
  1. Stockholm, Sweden — +320 monthly listeners (+47% mo/mo)
  2. Brooklyn, USA      — +280 (+18%)
  3. Berlin, Germany    — +210 (+24%)
  4. London, UK         — +195 (+11%)
  5. Los Angeles, USA   — +180 (+8%)

  Notable: Stockholm growth correlates with a "Lush Sounds" playlist
  add 23 days ago. Worth a Swedish-language email blast to fans there.

Cross-roster discovery

Aria: Velvet Bird. 15% of her fans also listen to Run Hot, 9% to
Mira, 8% to Cleo Bell. She's the bridge artist between your dreampop
and electronic clusters.

Releasing her next single in a way that points to both clusters could
unlock unique cross-streams.

Pricing

Plans, AI credits, and limits live on the pricing page — we keep them there so they’re always current.

Intelligence profile — per-artist intel
Roster — add and connect artists for tracking
Storefront — fan-buyer overlap source

FAQ

What is the 'fan graph' exactly?

A network view across your roster + storefront. The graph surfaces overlap percentages, cluster identification, and bridge artists.

Why is my Pro audience incomplete?

Data quality varies by artist. Smaller artists (under ~5k monthly listeners) often have limited demographic data.

Can I export audience data?

Yes for individual artists (CSV via audience tab). Cross-roster fan-graph export is Enterprise-only.

How fresh is the data?

Daily refresh where provider coverage is available. Force-refresh on demand.

Does this work for unsigned artists I'm scouting?

Yes — any artist you’ve added to your roster can be used for research and audience reads, including artists you’re watching as your own A&R.

​Two layers

​Audience — per artist

​Where to find it

​Fan graph — cross-roster

​Example fan graph output

​Where the fan graph lives

​Streaming behavior

​Examples

​Where is my growth coming from?

​Cross-roster discovery

​Pricing

​Related pages

​FAQ