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 ascselect
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 |
|---|---|---|
| The Clean | 253k | +1.86% |
| The Chills | 175k | +1.69% |
| Look Blue Go Purple | 32k | — |
| Felt | 469k | +2.10% |
| The Go-Betweens | 254k | +1.15% |
| Close Lobsters | 72k | +4.56% |
| The Cleaners From Venus | 393k | +3.95% |
| Cleaners From Venus | 20k | +1.97% |
| Sharp Pins | 65k | +5.72% |
| Television Personalities | 250k | +0.96% |
| The Field Mice | 238k | +1.17% |
| The Pastels | 317k | +1.37% |
| Beat Happening | 359k | +0.79% |
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