select
snapshot_date, week_number, listeners, playcount,
listener_delta, listener_pct_change, listeners_indexed
from api_artist_timeseries
where artist_id = $1
order by snapshot_date ascIndexed to 100 at each series' first observation.
select
ts.snapshot_date, ts.week_number, ts.listeners, ts.listeners_indexed,
cw.artist_count, cw.p25_indexed, cw.median_indexed, cw.p75_indexed
from api_artist_timeseries ts
left join api_cohort_weekly cw
on cw.cohort_type = $2 -- 'genre' or 'size_band'
and cw.cohort_key = $3 -- primary_genre or size_band
and cw.snapshot_date = ts.snapshot_date
where ts.artist_id = $1
order by ts.snapshot_date asc| Artist | Listeners | 13-week growth |
|---|---|---|
| Tony Harnell | 45k | — |
| Crush 40 | 262k | +4.01% |
| Paul Shortino | 25k | — |
| Magna-Fi | 29k | — |
| Danger Danger | 195k | +0.98% |
| Harem Scarem | 58k | +2.07% |
| Treat | 42k | — |
| House of Lords | 75k | — |
| H.E.A.T | 74k | — |
| Hardline | 108k | — |
| Talisman | 66k | — |
| Aisha | 150k | +3.59% |
| Jaded Heart | 28k | — |
| Nelson | 98k | — |
select
similar_artist_id, slug, display_name, size_band,
latest_listeners, total_pct_growth, weeks_tracked, similarity_score, rank
from api_artist_similar
where artist_id = $1
order by rank ascselect *
from api_artist_profile
where artist_id = $1