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.

Rheinfall Assekuranz invoiced leads, September 2026

1–22 of 22 · by invoice date

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Rheinfall Assekuranz invoiced leads, September 2026
LeadCantonProductStatusInvoiced
2971BSCarHeld01.09.2026
2876ZHBasic health (KVG)Held01.09.2026
3015LUBasic health (KVG)Held01.09.2026
2856AGBasic health (KVG)Held03.09.2026
2750ZHBasic health (KVG)Held04.09.2026
2822TILifeHeld04.09.2026
3022BELifeHeld04.09.2026
3089FRBasic health (KVG)Held04.09.2026
3204SGSupplementary (VVG)Held07.09.2026
2871VDBasic health (KVG)Held09.09.2026
3115FRSupplementary (VVG)Held16.09.2026
3576BESupplementary (VVG)Held18.09.2026
3585ZHBasic health (KVG)Held19.09.2026
3506ZHLifeHeld20.09.2026
3401AGBasic health (KVG)Held21.09.2026
3514AGBasic health (KVG)Held24.09.2026
3605ZHBasic health (KVG)Held25.09.2026
3392LUCarHeld25.09.2026
4045AGBasic health (KVG)Held26.09.2026
4029FRCarHeld28.09.2026
3865ZHBasic health (KVG)Held29.09.2026
3329VDBasic health (KVG)Held30.09.2026
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 broker = 'Rheinfall Assekuranz'
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 broker = 'Rheinfall Assekuranz'

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