Roopsee Lakhotia

· Manager · hectorai.live · ← all users

Active hours
1.92
real mouse/keyboard time
Active days
12
Sessions
126
Brands touched
1
Profiles touched
1
Pages touched
1

Daily

Day Sessions Active min Active hours
2026-05-29 36 31.6 0.53
2026-06-02 3 3.4 0.06
2026-06-06 11 9.5 0.16
2026-06-09 5 3.6 0.06
2026-06-10 3 10.5 0.18
2026-06-11 4 3.6 0.06
2026-06-16 35 29.7 0.49
2026-06-17 2 4.0 0.07
2026-06-19 18 14.6 0.24
2026-06-22 1 0.9 0.01
2026-06-23 2 1.7 0.03
2026-06-25 6 2.1 0.03

Brands

BrandOwnerRoleSessionsActive min
Tata Sampann roopsee@hectorai.live Manager 65 66.7
Organic India roopsee@hectorai.live Manager 33 25.3
Tata Coffee Grand roopsee@hectorai.live Manager 28 23.1

Pages

PageReportSessionsActive min
Amazon Targeting 360 targeting_360 110 91.3
Amazon Categorization other 11 15.8
Amazon Text Categorization other 1 5.3
Profile other 3 2.0
Logout other 1 0.5

Actions

No actions recorded.

5 queries · scanned 23.75 MB · cost $0.000142 · 6.74s
Query 1 · 1 rows · 8.59 MB · $0.000051 · 1.39s 
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('roopsee@hectorai.live')
  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('roopsee@hectorai.live')
GROUP BY i.email
Query 2 · 12 rows · 3.70 MB · $0.000022 · 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('roopsee@hectorai.live')
    AND day BETWEEN DATE '2026-05-26' AND DATE '2026-06-25'
  GROUP BY day
) s USING (day)
WHERE LOWER(i.email) = LOWER('roopsee@hectorai.live')
  AND i.day BETWEEN DATE '2026-05-26' AND DATE '2026-06-25'
ORDER BY i.day
Query 3 · 3 rows · 6.06 MB · $0.000036 · 1.36s 
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('roopsee@hectorai.live')
  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 · 5.19 MB · $0.000031 · 1.34s 
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('roopsee@hectorai.live')
  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 · 226.9 KB · $0.000001 · 1.33s 
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('roopsee@hectorai.live')
  AND day BETWEEN DATE '2026-05-26' AND DATE '2026-06-25'
GROUP BY action_category, action_type
ORDER BY actions DESC