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
LeadProductBrokerStatusInvoiced
3105CarUetliberg BrokerHeld03.09.2026
3131LifeAare Vorsorge AGHeld06.09.2026
3204Supplementary (VVG)Rheinfall AssekuranzHeld07.09.2026
3455Basic health (KVG)Lindenhof BeratungHeld08.09.2026
3055LifeBergsee FinanzHeld08.09.2026
3640Supplementary (VVG)Uetliberg BrokerHeld19.09.2026
2964Basic health (KVG)Alpenblick Broker GmbHHeld20.09.2026
3703Basic health (KVG)Aare Vorsorge AGHeld21.09.2026
3620Basic health (KVG)Alpenblick Broker GmbHHeld22.09.2026
3570Basic health (KVG)Seeufer FinanzplanHeld28.09.2026
4126Basic health (KVG)Lindenhof BeratungHeld30.09.2026
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 = '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.