SDI Lab / BI cockpit Demo on a made-up Swiss insurance-lead business, data as of 28.10.2026 18:00. Names, brokers and numbers are invented.

BS invoiced leads, September 2026

1–13 of 13 · by invoice date

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BS invoiced leads, September 2026
LeadProductBrokerStatusInvoiced
2971CarRheinfall AssekuranzHeld01.09.2026
2945LifeAare Vorsorge AGHeld03.09.2026
3160CarSeeufer FinanzplanHeld04.09.2026
3182Basic health (KVG)Uetliberg BrokerHeld05.09.2026
3133Basic health (KVG)Säntis PartnerHeld05.09.2026
2783Basic health (KVG)Alpenblick Broker GmbHHeld07.09.2026
3295Basic health (KVG)Alpenblick Broker GmbHHeld08.09.2026
3532Basic health (KVG)Lindenhof BeratungHeld17.09.2026
3130LifeAare Vorsorge AGHeld18.09.2026
3271Basic health (KVG)Alpenblick Broker GmbHHeld21.09.2026
3676Basic health (KVG)Alpenblick Broker GmbHHeld24.09.2026
3838LifeAlpenblick Broker GmbHHeld24.09.2026
3556Basic health (KVG)Bergsee FinanzHeld27.09.2026
How it's calculated

These rows

select lead_id, created_at, channel, canton, product, broker, appointment_at, appointment_status, contract_signed_at, invoiced_at, invoice_amount_chf
from leads
where invoiced_at >= timestamp '2026-09-01 00:00:00' at time zone 'Europe/Zurich'
  and invoiced_at < timestamp '2026-10-01 00:00:00' at time zone 'Europe/Zurich'
  and canton = 'BS'
order by invoiced_at, lead_id
limit 50 offset 0

The row count

select count(*) as total
from leads
where invoiced_at >= timestamp '2026-09-01 00:00:00' at time zone 'Europe/Zurich'
  and invoiced_at < timestamp '2026-10-01 00:00:00' at time zone 'Europe/Zurich'
  and canton = 'BS'

The app runs these queries with parameters; here the values are written in, so they can be read or pasted into psql.