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.

Life invoiced leads, September 2026

1–15 of 15 · by invoice date

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Life invoiced leads, September 2026
LeadCantonBrokerStatusInvoicedAmount (CHF)
2945BSAare Vorsorge AGHeld03.09.2026640.00
2822TIRheinfall AssekuranzHeld04.09.2026715.00
3022BERheinfall AssekuranzHeld04.09.2026630.00
3131SGAare Vorsorge AGHeld06.09.2026615.00
3255FRSeeufer FinanzplanHeld07.09.2026625.00
3055SGBergsee FinanzHeld08.09.2026645.00
3478FRAlpenblick Broker GmbHHeld18.09.2026620.00
3130BSAare Vorsorge AGHeld18.09.2026655.00
3506ZHRheinfall AssekuranzHeld20.09.2026680.00
3367GESäntis PartnerHeld21.09.2026675.00
3547ZHUetliberg BrokerHeld23.09.2026620.00
3484LUSeeufer FinanzplanHeld24.09.2026710.00
3270BEBergsee FinanzHeld24.09.2026710.00
3838BSAlpenblick Broker GmbHHeld24.09.2026585.00
3912ZHAlpenblick Broker GmbHHeld26.09.2026645.00
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 = 'Life'
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 = 'Life'

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