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 contracts, September 2026

1–24 of 24 · by contract date

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Rheinfall Assekuranz contracts, September 2026
LeadCantonProductStatusContract
3401AGBasic health (KVG)Held05.09.2026
3392LUCarHeld06.09.2026
3585ZHBasic health (KVG)Held08.09.2026
3329VDBasic health (KVG)Held10.09.2026
3506ZHLifeHeld11.09.2026
3258ZHBasic health (KVG)Held12.09.2026
3576BESupplementary (VVG)Held12.09.2026
3115FRSupplementary (VVG)Held13.09.2026
3841ZHBasic health (KVG)Held14.09.2026
3514AGBasic health (KVG)Held18.09.2026
3605ZHBasic health (KVG)Held18.09.2026
3673VDBasic health (KVG)Held19.09.2026
3865ZHBasic health (KVG)Held22.09.2026
4045AGBasic health (KVG)Held22.09.2026
4029FRCarHeld23.09.2026
4075GEBasic health (KVG)Held24.09.2026
3802TICarHeld26.09.2026
3924BECarHeld28.09.2026
4399ZHBasic health (KVG)Held29.09.2026
4258TISupplementary (VVG)Held29.09.2026
4058BSBasic health (KVG)Held30.09.2026
4177SGSupplementary (VVG)Held30.09.2026
4156SGSupplementary (VVG)Held30.09.2026
4083BSBasic 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 contract_signed_at >= timestamp '2026-09-01 00:00:00' at time zone 'Europe/Zurich'
  and contract_signed_at < timestamp '2026-10-01 00:00:00' at time zone 'Europe/Zurich'
  and broker = 'Rheinfall Assekuranz'
order by contract_signed_at, lead_id
limit 50 offset 0

The row count

select count(*) as total
from leads
where contract_signed_at >= timestamp '2026-09-01 00:00:00' at time zone 'Europe/Zurich'
  and contract_signed_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.