Akhil

· Manager · neemans.com · ← all users

Active hours
1.98
real mouse/keyboard time
Active days
8
Sessions
169
Brands touched
1
Profiles touched
1
Pages touched
1

Daily

Day Sessions Active min Active hours
2026-06-17 25 26.0 0.43
2026-06-18 30 21.9 0.36
2026-06-19 34 17.0 0.28
2026-06-20 8 3.5 0.06
2026-06-21 4 2.6 0.04
2026-06-22 18 10.5 0.17
2026-06-23 33 27.0 0.45
2026-06-24 17 10.0 0.17

Brands

BrandOwnerRoleSessionsActive min
Neemans - AMS akhil@neemans.com Manager 151 109.6
Neeman's Private Limited akhil@neemans.com Manager 7 3.4
NEEMANS_PRIVATE_LIMITED_self_serve - myntra_ads akhil@neemans.com Manager 6 3.2
Neemans - seller akhil@neemans.com Manager 5 2.3

Pages

PageReportSessionsActive min
Amazon Snapshot snapshot 118 79.3
Amazon DSP Reports dsp 13 18.8
Amazon Targeting 360 targeting_360 18 11.2
Flipkart Targeting 360 targeting_360 12 5.7
Myntra Targeting 360 targeting_360 6 3.2
DSP dsp 2 0.3

Actions

No actions recorded.

5 queries · scanned 5.48 MB · cost $0.000033 · 6.49s
Query 1 · 1 rows · 1.96 MB · $0.000012 · 1.31s 
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('akhil@neemans.com')
  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('akhil@neemans.com')
GROUP BY i.email
Query 2 · 8 rows · 852.8 KB · $0.000005 · 1.32s 
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('akhil@neemans.com')
    AND day BETWEEN DATE '2026-06-17' AND DATE '2026-06-24'
  GROUP BY day
) s USING (day)
WHERE LOWER(i.email) = LOWER('akhil@neemans.com')
  AND i.day BETWEEN DATE '2026-06-17' AND DATE '2026-06-24'
ORDER BY i.day
Query 3 · 4 rows · 1.40 MB · $0.000008 · 1.23s 
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('akhil@neemans.com')
  AND day BETWEEN DATE '2026-06-17' AND DATE '2026-06-24'
GROUP BY brand_group
ORDER BY active_min DESC
Query 4 · 6 rows · 1.22 MB · $0.000007 · 1.22s 
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('akhil@neemans.com')
  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 · 0 rows · 70.1 KB · $0.000000 · 1.40s 
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('akhil@neemans.com')
  AND day BETWEEN DATE '2026-06-17' AND DATE '2026-06-24'
GROUP BY action_category, action_type
ORDER BY actions DESC