Overview
2026-06-17 → 2026-06-24 · pulled from fact_sessions_daily
Distinct users
552
in date range
Distinct brands
606
Active hours
615.5
total_active_time / 3600
Wall-clock hours
44,260.2
session_duration / 3600
Sessions
43,286
Days covered
8
Daily trend
| Day | DAU | Sessions | Active hours |
|---|---|---|---|
| 2026-06-17 | 301 | 6,987 | 100.1 |
| 2026-06-18 | 320 | 7,188 | 104.1 |
| 2026-06-19 | 274 | 6,888 | 100.7 |
| 2026-06-20 | 158 | 2,782 | 34.2 |
| 2026-06-21 | 81 | 1,421 | 14.9 |
| 2026-06-22 | 295 | 7,083 | 105.3 |
| 2026-06-23 | 326 | 6,265 | 90.4 |
| 2026-06-24 | 282 | 4,672 | 65.9 |
2 queries · scanned 1.71 MB · cost $0.000010 · 2.66s
SELECT COUNT(DISTINCT email) AS distinct_users, COUNT(DISTINCT brand_group) AS distinct_brands, COUNT(DISTINCT day) AS days_covered, SUM(sessions) AS sessions, SUM(active_seconds) AS active_seconds, ROUND(SUM(active_seconds)/3600.0, 1) AS active_hours, ROUND(SUM(duration_seconds)/3600.0, 1) AS duration_hours FROM `amazoneast.customerio_data.fact_sessions_daily` WHERE day BETWEEN DATE '2026-06-17' AND DATE '2026-06-24'
SELECT day,
COUNT(DISTINCT email) AS dau,
ROUND(SUM(active_seconds)/3600.0, 1) AS active_hours,
SUM(sessions) AS sessions
FROM `amazoneast.customerio_data.fact_sessions_daily`
WHERE day BETWEEN DATE '2026-06-17' AND DATE '2026-06-24'
GROUP BY day
ORDER BY day