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 |
|---|---|---|
| Sick Puppies | 1.0M | +0.84% |
| Theory of a Deadman | 1.3M | +1.03% |
| Buckcherry | 762k | +1.50% |
| Blue October | 841k | +0.75% |
| Saving Abel | 705k | +1.43% |
| Hinder | 1.4M | +1.61% |
| My Darkest Days | 442k | +2.19% |
| Kid Rock | 1.2M | +1.65% |
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