Kanwal Jeet

· Admin · cambiumretail.com · ← all users

Active hours
0.30
real mouse/keyboard time
Active days
6
Sessions
29
Brands touched
1
Profiles touched
2
Pages touched
4

Daily

Day Sessions Active min Active hours
2026-05-26 1 0.2 0.00
2026-06-12 5 3.3 0.06
2026-06-15 11 6.7 0.11
2026-06-16 5 3.2 0.05
2026-06-18 4 2.6 0.04
2026-06-20 3 2.1 0.03

Brands

BrandOwnerRoleSessionsActive min
Cambium Retail Private Limited info@cambiumretail.com Admin 17 10.2
AudioArray info@cambiumretail.com Admin 7 4.7
Nexlev by Cambium info@cambiumretail.com Admin 5 3.2

Pages

PageReportSessionsActive min
Plan Expired Amazon other 7 4.7
Profile other 5 3.4
Billing Payments other 5 3.2
Amazon Dayparting Scheduler dayparting 3 2.4
Amazon Dayparting Performance dayparting 2 1.7
Amazon Automated Bid Rules rule_automation 3 1.6
Amazon Automated Search Term Harvesting Rules rule_automation 1 0.4
Amazon Automated Budget Rules rule_automation 1 0.4
Amazon Master Overview master_overview 1 0.2
Amazon CPC Jobs other 1 0.2

Actions

CategoryActionActionsEntities
rule rule_based_status_change 15 15
scheduler dayparting_scheduler_status_change 7 7
5 queries · scanned 23.31 MB · cost $0.000139 · 6.99s
Query 1 · 1 rows · 8.42 MB · $0.000050 · 1.51s 
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('info@cambiumretail.com')
  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('info@cambiumretail.com')
GROUP BY i.email
Query 2 · 6 rows · 3.63 MB · $0.000022 · 1.36s 
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('info@cambiumretail.com')
    AND day BETWEEN DATE '2026-05-26' AND DATE '2026-06-25'
  GROUP BY day
) s USING (day)
WHERE LOWER(i.email) = LOWER('info@cambiumretail.com')
  AND i.day BETWEEN DATE '2026-05-26' AND DATE '2026-06-25'
ORDER BY i.day
Query 3 · 3 rows · 5.95 MB · $0.000035 · 1.43s 
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('info@cambiumretail.com')
  AND day BETWEEN DATE '2026-05-26' AND DATE '2026-06-25'
GROUP BY brand_group
ORDER BY active_min DESC
Query 4 · 10 rows · 5.09 MB · $0.000030 · 1.35s 
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('info@cambiumretail.com')
  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 · 2 rows · 226.1 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('info@cambiumretail.com')
  AND day BETWEEN DATE '2026-05-26' AND DATE '2026-06-25'
GROUP BY action_category, action_type
ORDER BY actions DESC