Shaurya Ithikkat

· Manager · neondigital.media · ← all users

Active hours
8.86
real mouse/keyboard time
Active days
8
Sessions
2,243
Brands touched
7
Profiles touched
7
Pages touched
9

Daily

Day Sessions Active min Active hours
2026-06-17 63 67.8 1.13
2026-06-18 78 94.7 1.58
2026-06-19 58 51.2 0.85
2026-06-20 43 0.5 0.01
2026-06-20 43 0.5 0.01
2026-06-20 43 0.5 0.01
2026-06-20 43 0.5 0.01
2026-06-20 43 0.5 0.01
2026-06-20 43 0.5 0.01
2026-06-20 43 0.5 0.01
2026-06-20 43 0.5 0.01
2026-06-20 43 0.5 0.01
2026-06-20 43 0.5 0.01
2026-06-20 43 0.5 0.01
2026-06-20 43 0.5 0.01
2026-06-20 43 0.5 0.01
2026-06-20 43 0.5 0.01
2026-06-20 43 0.5 0.01
2026-06-20 43 0.5 0.01
2026-06-20 43 0.5 0.01
2026-06-20 43 0.5 0.01
2026-06-20 43 0.5 0.01
2026-06-20 43 0.5 0.01
2026-06-20 43 0.5 0.01
2026-06-20 43 0.5 0.01
2026-06-20 43 0.5 0.01
2026-06-20 43 0.5 0.01
2026-06-20 43 0.5 0.01
2026-06-20 43 0.5 0.01
2026-06-20 43 0.5 0.01
2026-06-20 43 0.5 0.01
2026-06-20 43 0.5 0.01
2026-06-20 43 0.5 0.01
2026-06-20 43 0.5 0.01
2026-06-20 43 0.5 0.01
2026-06-20 43 0.5 0.01
2026-06-20 43 0.5 0.01
2026-06-20 43 0.5 0.01
2026-06-20 43 3.5 0.06
2026-06-20 43 0.5 0.01
2026-06-20 43 0.5 0.01
2026-06-20 43 0.5 0.01
2026-06-21 40 39.6 0.66
2026-06-22 138 107.7 1.80
2026-06-23 75 70.9 1.18
2026-06-24 114 78.5 1.31

Brands

BrandOwnerRoleSessionsActive min
PRO SPIN US analyst@neondigital.media Manager 143 128.5
Dalstrong Inc. analyst@neondigital.media Manager 94 105.8
Brutus & Barnaby analyst@neondigital.media Manager 67 63.5
Suit Up Brands LLC analyst@neondigital.media Manager 63 57.9
Guardian's Choice Pet analyst@neondigital.media Manager 75 57.5
PRO-SPIN SPORTS analyst@neondigital.media Manager 82 53.1
1 Body - WPS - USA analyst@neondigital.media Manager 35 35.1
PRO SPIN CA analyst@neondigital.media Manager 37 22.2
Dalstrong analyst@neondigital.media Manager 13 8.2

Pages

PageReportSessionsActive min
Amazon Targeting 360 targeting_360 188 169.2
Amazon Master Overview master_overview 117 115.7
Amazon Automated Status Rules rule_automation 151 106.7
Amazon Campaign Drafts Auto Create other 34 40.2
Amazon Targeting - Asin Details targeting_360 30 20.3
Amazon Automated Status Rule Details rule_automation 22 16.5
Amazon Smart Campaigns List other 14 9.6
Create Amazon Automated Status Rule rule_automation 4 9.5
Amazon Portfolio Budget Manager other 4 6.0
Create Amazon Automated Budget Rule rule_automation 1 5.7
Amazon Marketing Stream targeting_360 15 5.4
Amazon Dayparting Performance dayparting 8 5.3
Plan Expired Amazon other 6 5.1
Amazon Automated Budget Rules rule_automation 3 4.1
Amazon Automated Status Rule Logs rule_automation 6 3.3
Amazon Automated Placement Rules rule_automation 2 2.9
Amazon Automated Placement Rule Logs rule_automation 1 2.8
Amazon Audience Instance amc 1 2.2
Logout other 1 0.9
Amazon Automated Budget Rule Details rule_automation 1 0.6

Actions

CategoryActionActionsEntities
bid keyword_bid_updated 1 7
budget campaign_budget_updated 1 52
5 queries · scanned 5.63 MB · cost $0.000034 · 6.89s
Query 1 · 1 rows · 2.02 MB · $0.000012 · 1.57s
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 '2026-06-17' AND DATE '2026-06-24'
    AND LOWER(email) = LOWER('analyst@neondigital.media')
  GROUP BY day, email
) s USING (day, email)
WHERE i.day BETWEEN DATE '2026-06-17' AND DATE '2026-06-24'
  AND LOWER(i.email) = LOWER('analyst@neondigital.media')
GROUP BY i.email
Query 2 · 46 rows · 879.9 KB · $0.000005 · 1.40s
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('analyst@neondigital.media')
    AND day BETWEEN DATE '2026-06-17' AND DATE '2026-06-24'
  GROUP BY day
) s USING (day)
WHERE LOWER(i.email) = LOWER('analyst@neondigital.media')
  AND i.day BETWEEN DATE '2026-06-17' AND DATE '2026-06-24'
ORDER BY i.day
Query 3 · 9 rows · 1.44 MB · $0.000009 · 1.26s
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('analyst@neondigital.media')
  AND day BETWEEN DATE '2026-06-17' AND DATE '2026-06-24'
GROUP BY brand_group
ORDER BY active_min DESC
Query 4 · 20 rows · 1.25 MB · $0.000007 · 1.32s
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('analyst@neondigital.media')
  AND day BETWEEN DATE '2026-06-17' AND DATE '2026-06-24'
GROUP BY report_page
ORDER BY active_min DESC
LIMIT 5000
Query 5 · 2 rows · 70.7 KB · $0.000000 · 1.35s
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('analyst@neondigital.media')
  AND day BETWEEN DATE '2026-06-17' AND DATE '2026-06-24'
GROUP BY action_category, action_type
ORDER BY actions DESC