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.

Car invoiced leads, September 2026

1–20 of 20 · by invoice date

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Car invoiced leads, September 2026
LeadCantonBrokerStatusInvoiced
2971BSRheinfall AssekuranzHeld01.09.2026
2753VDAare Vorsorge AGHeld01.09.2026
2460ZHAare Vorsorge AGHeld01.09.2026
3105SGUetliberg BrokerHeld03.09.2026
2893VDBergsee FinanzHeld03.09.2026
3000ZHLindenhof BeratungHeld04.09.2026
3160BSSeeufer FinanzplanHeld04.09.2026
3164ZHUetliberg BrokerHeld05.09.2026
2928TIUetliberg BrokerHeld07.09.2026
2965LUUetliberg BrokerHeld09.09.2026
3201VDAlpenblick Broker GmbHHeld11.09.2026
2994ZHSeeufer FinanzplanHeld15.09.2026
3346FRAlpenblick Broker GmbHHeld15.09.2026
3333ZHUetliberg BrokerHeld18.09.2026
3990ZHAlpenblick Broker GmbHHeld25.09.2026
3392LURheinfall AssekuranzHeld25.09.2026
3881AGUetliberg BrokerHeld26.09.2026
4029FRRheinfall AssekuranzHeld28.09.2026
4306FRAare Vorsorge AGHeld28.09.2026
3757FRUetliberg BrokerHeld29.09.2026
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 product = 'Car'
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 product = 'Car'

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