Tim Huelsmann

· Manager · primeup.de · ← all users

Active hours
0.09
real mouse/keyboard time
Active days
2
Sessions
10
Brands touched
3
Profiles touched
3
Pages touched
2

Daily

Day Sessions Active min Active hours
2026-06-18 9 5.4 0.09
2026-06-22 1 0.3 0.00

Brands

BrandOwnerRoleSessionsActive min
GSW Gäns Stahlwaren GmbH (retail) t.huelsmann@primeup.de Manager 5 3.3
gestalten t.huelsmann@primeup.de Manager 3 1.7
Die Gestalten Verlag GmbH & Co. KG - Retail t.huelsmann@primeup.de Manager 2 0.6

Pages

PageReportSessionsActive min
Amazon Automated Bid Rules rule_automation 8 5.1
Amazon Master Overview master_overview 1 0.3
Amazon Automated Bid Rule Details rule_automation 1 0.2

Actions

No actions recorded.

5 queries · scanned 6.20 MB · cost $0.000037 · 7.08s
Query 1 · 1 rows · 2.24 MB · $0.000013 · 1.34s
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('t.huelsmann@primeup.de')
  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('t.huelsmann@primeup.de')
GROUP BY i.email
Query 2 · 2 rows · 979.3 KB · $0.000006 · 1.30s
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('t.huelsmann@primeup.de')
    AND day BETWEEN DATE '2026-06-17' AND DATE '2026-06-24'
  GROUP BY day
) s USING (day)
WHERE LOWER(i.email) = LOWER('t.huelsmann@primeup.de')
  AND i.day BETWEEN DATE '2026-06-17' AND DATE '2026-06-24'
ORDER BY i.day
Query 3 · 3 rows · 1.57 MB · $0.000009 · 1.73s
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('t.huelsmann@primeup.de')
  AND day BETWEEN DATE '2026-06-17' AND DATE '2026-06-24'
GROUP BY brand_group
ORDER BY active_min DESC
Query 4 · 3 rows · 1.36 MB · $0.000008 · 1.47s
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('t.huelsmann@primeup.de')
  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 · 70.7 KB · $0.000000 · 1.23s
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('t.huelsmann@primeup.de')
  AND day BETWEEN DATE '2026-06-17' AND DATE '2026-06-24'
GROUP BY action_category, action_type
ORDER BY actions DESC