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.

BE invoiced leads, September 2026

1–20 of 20 · by invoice date

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BE invoiced leads, September 2026
LeadProductBrokerStatusInvoiced
2988Basic health (KVG)Bergsee FinanzHeld02.09.2026
2737Basic health (KVG)Bergsee FinanzHeld03.09.2026
2844Basic health (KVG)Uetliberg BrokerHeld04.09.2026
3256Basic health (KVG)Alpenblick Broker GmbHHeld04.09.2026
3022LifeRheinfall AssekuranzHeld04.09.2026
3183Basic health (KVG)Alpenblick Broker GmbHHeld06.09.2026
3094Basic health (KVG)Uetliberg BrokerHeld08.09.2026
3032Supplementary (VVG)Uetliberg BrokerHeld10.09.2026
3406Basic health (KVG)Säntis PartnerHeld10.09.2026
3397Basic health (KVG)Seeufer FinanzplanHeld15.09.2026
3171Supplementary (VVG)Säntis PartnerHeld16.09.2026
3071Basic health (KVG)Säntis PartnerHeld16.09.2026
3216Supplementary (VVG)Aare Vorsorge AGHeld17.09.2026
3370Basic health (KVG)Lindenhof BeratungHeld18.09.2026
3576Supplementary (VVG)Rheinfall AssekuranzHeld18.09.2026
3730Basic health (KVG)Uetliberg BrokerHeld19.09.2026
3615Basic health (KVG)Seeufer FinanzplanHeld24.09.2026
3270LifeBergsee FinanzHeld24.09.2026
3030Basic health (KVG)Säntis PartnerHeld25.09.2026
4031Basic health (KVG)Seeufer FinanzplanHeld29.09.2026
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 = 'BE'
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 = 'BE'

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