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.

SG invoiced leads, September 2026

1–11 of 11 · by invoice date

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SG invoiced leads, September 2026
LeadProductBrokerStatusInvoicedAmount (CHF)
3105CarUetliberg BrokerHeld03.09.2026145.00
3131LifeAare Vorsorge AGHeld06.09.2026615.00
3204Supplementary (VVG)Rheinfall AssekuranzHeld07.09.2026350.00
3455Basic health (KVG)Lindenhof BeratungHeld08.09.2026170.00
3055LifeBergsee FinanzHeld08.09.2026645.00
3640Supplementary (VVG)Uetliberg BrokerHeld19.09.2026325.00
2964Basic health (KVG)Alpenblick Broker GmbHHeld20.09.2026195.00
3703Basic health (KVG)Aare Vorsorge AGHeld21.09.2026180.00
3620Basic health (KVG)Alpenblick Broker GmbHHeld22.09.2026195.00
3570Basic health (KVG)Seeufer FinanzplanHeld28.09.2026165.00
4126Basic health (KVG)Lindenhof BeratungHeld30.09.2026195.00
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 canton = 'SG'
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 = 'SG'

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