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 |
|---|---|---|
| Strandz | 154k | +2.44% |
| Nemzzz | 570k | +6.05% |
| Kidwild | 177k | +5.17% |
| Atum | 50k | +0.21% |
| KiLLOWEN | 190k | +7.28% |
| Ceebo | 9.9k | +13.44% |
| BexBlu | 119k | +6.65% |
| Knucks | 523k | +1.92% |
| Damzz | 63k | +6.63% |
| Sainté | 430k | +3.19% |
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