Rahul Yadav

· Manager · holistique.in · ← all users

Active hours
0.60
real mouse/keyboard time
Active days
16
Sessions
46
Brands touched
2
Profiles touched
2
Pages touched
1

Daily

Day Sessions Active min Active hours
2026-05-26 3 0.4 0.01
2026-05-27 2 0.5 0.01
2026-05-28 1 0.3 0.01
2026-05-29 3 1.8 0.03
2026-06-01 3 3.1 0.05
2026-06-02 1 0.9 0.02
2026-06-03 2 1.1 0.02
2026-06-04 12 10.2 0.17
2026-06-06 1 1.2 0.02
2026-06-09 7 5.5 0.09
2026-06-11 1 1.4 0.02
2026-06-15 1 0.7 0.01
2026-06-16 1 0.6 0.01
2026-06-17 2 1.1 0.02
2026-06-18 5 6.0 0.10
2026-06-22 1 1.4 0.02

Brands

BrandOwnerRoleSessionsActive min
THE FACESHOP rahul@holistique.in Manager 34 24.6
Belif rahul@holistique.in Manager 12 12.4

Pages

PageReportSessionsActive min
Amazon Targeting 360 targeting_360 36 28.0
Amazon Portfolio Budget Manager other 3 3.9
Amazon Snapshot snapshot 3 3.4
Amazon Search Query Performance targeting_360 3 1.4
Amazon Dayparting Performance dayparting 1 0.2

Actions

No actions recorded.

5 queries · scanned 23.36 MB · cost $0.000139 · 6.60s
Query 1 · 1 rows · 8.44 MB · $0.000050 · 1.37s 
SELECT
  i.email,
  ANY_VALUE(i.full_name)                              AS full_name,
  ANY_VALUE(i.email_domain)                           AS email_domain,
  ANY_VALUE(s.role)                                   AS role,
  COUNT(DISTINCT i.day)                               AS active_days,
  ANY_VALUE(s.brands_touched)                         AS brands_touched,
  ANY_VALUE(s.profiles_touched)                       AS profiles_touched,
  ANY_VALUE(s.pages_touched)                          AS pages_touched,
  SUM(s.sessions)                                     AS sessions,
  SUM(i.sum_active_seconds)                           AS active_seconds,
  ROUND(SUM(i.sum_active_seconds)/3600.0, 2)          AS active_hours
FROM `amazoneast.customerio_data.fact_session_intervals_daily` i
LEFT JOIN (
  SELECT day, email, SUM(sessions) AS sessions, ANY_VALUE(role) AS role,
         COUNT(DISTINCT brand_group) AS brands_touched,
         COUNT(DISTINCT profile_id)  AS profiles_touched,
         COUNT(DISTINCT report_page) AS pages_touched
  FROM `amazoneast.customerio_data.fact_sessions_daily`
  WHERE day BETWEEN DATE '2026-05-26' AND DATE '2026-06-25'
    AND LOWER(email) = LOWER('rahul@holistique.in')
  GROUP BY day, email
) s USING (day, email)
WHERE i.day BETWEEN DATE '2026-05-26' AND DATE '2026-06-25'
  AND LOWER(i.email) = LOWER('rahul@holistique.in')
GROUP BY i.email
Query 2 · 16 rows · 3.64 MB · $0.000022 · 1.38s 
SELECT i.day,
       s.sessions,
       ROUND(i.sum_active_seconds/60.0, 1) AS active_min,
       ROUND(i.sum_active_seconds/3600.0, 2) AS active_hours
FROM `amazoneast.customerio_data.fact_session_intervals_daily` i
LEFT JOIN (
  SELECT day, SUM(sessions) AS sessions
  FROM `amazoneast.customerio_data.fact_sessions_daily`
  WHERE LOWER(email) = LOWER('rahul@holistique.in')
    AND day BETWEEN DATE '2026-05-26' AND DATE '2026-06-25'
  GROUP BY day
) s USING (day)
WHERE LOWER(i.email) = LOWER('rahul@holistique.in')
  AND i.day BETWEEN DATE '2026-05-26' AND DATE '2026-06-25'
ORDER BY i.day
Query 3 · 2 rows · 5.96 MB · $0.000036 · 1.29s 
SELECT brand_group,
       ANY_VALUE(profile_owner_email) AS profile_owner_email,
       ANY_VALUE(role)                AS role,
       SUM(sessions)                  AS sessions,
       ROUND(SUM(active_seconds)/60.0, 1) AS active_min
FROM `amazoneast.customerio_data.fact_sessions_daily`
WHERE LOWER(email) = LOWER('rahul@holistique.in')
  AND day BETWEEN DATE '2026-05-26' AND DATE '2026-06-25'
GROUP BY brand_group
ORDER BY active_min DESC
Query 4 · 5 rows · 5.10 MB · $0.000030 · 1.23s 
SELECT report_page,
       ANY_VALUE(report)                  AS report,
       SUM(sessions)                       AS sessions,
       ROUND(SUM(active_seconds)/60.0, 1)  AS active_min
FROM `amazoneast.customerio_data.fact_sessions_daily`
WHERE LOWER(email) = LOWER('rahul@holistique.in')
  AND day BETWEEN DATE '2026-05-26' AND DATE '2026-06-25'
GROUP BY report_page
ORDER BY active_min DESC
LIMIT 5000
Query 5 · 0 rows · 226.4 KB · $0.000001 · 1.34s 
SELECT action_category,
       action_type,
       SUM(action_count)      AS actions,
       SUM(entity_count)      AS entities
FROM `amazoneast.customerio_data.fact_actions_daily`
WHERE LOWER(email) = LOWER('rahul@holistique.in')
  AND day BETWEEN DATE '2026-05-26' AND DATE '2026-06-25'
GROUP BY action_category, action_type
ORDER BY actions DESC