Ralf Stelter

· Manager · primeup.de · ← all users

Active hours
4.77
real mouse/keyboard time
Active days
15
Sessions
1,114
Brands touched
1
Profiles touched
1
Pages touched
5

Daily

Day Sessions Active min Active hours
2026-05-29 34 21.4 0.36
2026-06-01 10 4.6 0.08
2026-06-02 84 62.9 1.05
2026-06-03 87 63.5 1.06
2026-06-04 27 0.1 0.00
2026-06-04 27 0.1 0.00
2026-06-04 27 1.4 0.02
2026-06-04 27 0.1 0.00
2026-06-04 27 0.1 0.00
2026-06-04 27 0.1 0.00
2026-06-04 27 0.1 0.00
2026-06-04 27 0.1 0.00
2026-06-04 27 0.1 0.00
2026-06-04 27 0.1 0.00
2026-06-04 27 0.1 0.00
2026-06-04 27 0.1 0.00
2026-06-04 27 0.1 0.00
2026-06-04 27 0.1 0.00
2026-06-04 27 0.1 0.00
2026-06-04 27 0.1 0.00
2026-06-04 27 0.1 0.00
2026-06-04 27 0.1 0.00
2026-06-04 27 0.1 0.00
2026-06-04 27 0.1 0.00
2026-06-04 27 0.1 0.00
2026-06-04 27 0.1 0.00
2026-06-04 27 0.1 0.00
2026-06-04 27 0.1 0.00
2026-06-04 27 0.1 0.00
2026-06-05 8 4.3 0.07
2026-06-08 15 6.3 0.10
2026-06-09 53 49.9 0.83
2026-06-10 7 5.0 0.08
2026-06-11 12 14.8 0.25
2026-06-18 28 12.2 0.20
2026-06-22 33 10.1 0.17
2026-06-23 2 2.0 0.03
2026-06-24 57 23.0 0.38
2026-06-25 9 2.1 0.04

Brands

BrandOwnerRoleSessionsActive min
Clip'n'Shade r.stelter@primeup.de Manager 136 106.2
Holz-und-Gartenwelt r.stelter@primeup.de Manager 79 56.7
Vipertech r.stelter@primeup.de Manager 92 41.4
shake over© r.stelter@primeup.de Manager 69 26.9
CT Crown Technics r.stelter@primeup.de Manager 38 25.0
GSW Gäns Stahlwaren GmbH (retail) r.stelter@primeup.de Manager 31 18.8
RECARO eGaming GmbH & Co KG. r.stelter@primeup.de Manager 9 4.2
SinoPlaSan AG r.stelter@primeup.de Manager 7 3.9
Shoes for Crews r.stelter@primeup.de Manager 2 2.3
Belanoti r.stelter@primeup.de Manager 1 0.4
Super Million Hair r.stelter@primeup.de Manager 1 0.4
BRLO x ROY r.stelter@primeup.de Manager 1 0.2

Pages

PageReportSessionsActive min
Amazon Automated Bid Rules rule_automation 122 57.9
Amazon Automated Placement Rules rule_automation 86 49.7
Amazon Master Overview master_overview 92 34.8
Amazon Dayparting Scheduler dayparting 20 16.6
Amazon Categorization other 21 16.6
Amazon Automated Search Term Harvesting Rules rule_automation 11 15.9
Create Amazon Automated Placement Rule rule_automation 16 15.3
Amazon Snapshot snapshot 20 14.1
Amazon Dayparting Performance dayparting 13 12.7
Amazon Automated Search Term Negation Rules rule_automation 9 12.5
Amazon Automated Bid Rule Details rule_automation 17 10.0
Amazon Automated Placement Rule Details rule_automation 15 9.9
Create Amazon Automated Searchterm-harvesting Rule rule_automation 6 9.7
Amazon Automated Searchterm-harvesting Rule Details rule_automation 3 3.3
Amazon Text Categorization other 5 2.7
Logout other 1 1.5
Amazon Targeting 360 targeting_360 5 1.4
Amazon Automated Searchterm-negation Rule Details rule_automation 2 0.7
Amazon Portfolio Budget Manager other 1 0.6
Amazon Automated Searchterm-harvesting Rule Logs rule_automation 1 0.6

Actions

CategoryActionActionsEntities
scheduler dayparting_scheduler_status_switched 5 5
scheduler dayparting_scheduler_status_change 3 3
5 queries · scanned 23.36 MB · cost $0.000139 · 6.80s
Query 1 · 1 rows · 8.44 MB · $0.000050 · 1.50s
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('r.stelter@primeup.de')
  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('r.stelter@primeup.de')
GROUP BY i.email
Query 2 · 39 rows · 3.64 MB · $0.000022 · 1.29s
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('r.stelter@primeup.de')
    AND day BETWEEN DATE '2026-05-26' AND DATE '2026-06-25'
  GROUP BY day
) s USING (day)
WHERE LOWER(i.email) = LOWER('r.stelter@primeup.de')
  AND i.day BETWEEN DATE '2026-05-26' AND DATE '2026-06-25'
ORDER BY i.day
Query 3 · 12 rows · 5.96 MB · $0.000036 · 1.47s
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('r.stelter@primeup.de')
  AND day BETWEEN DATE '2026-05-26' AND DATE '2026-06-25'
GROUP BY brand_group
ORDER BY active_min DESC
Query 4 · 20 rows · 5.10 MB · $0.000030 · 1.20s
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('r.stelter@primeup.de')
  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 · 226.3 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('r.stelter@primeup.de')
  AND day BETWEEN DATE '2026-05-26' AND DATE '2026-06-25'
GROUP BY action_category, action_type
ORDER BY actions DESC