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.

Säntis Partner contracts, September 2026

1–25 of 25 · by contract date

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Säntis Partner contracts, September 2026
LeadCantonProductStatusContract
3485ZHSupplementary (VVG)Held03.09.2026
3385GEBasic health (KVG)Held04.09.2026
3071BEBasic health (KVG)Held04.09.2026
3081ZHBasic health (KVG)Held05.09.2026
3406BEBasic health (KVG)Held05.09.2026
3367GELifeHeld05.09.2026
3068TIBasic health (KVG)Held07.09.2026
3030BEBasic health (KVG)Held07.09.2026
3579ZHBasic health (KVG)Held10.09.2026
3628ZHBasic health (KVG)Held12.09.2026
3623ZHBasic health (KVG)Held13.09.2026
3849AGBasic health (KVG)Held13.09.2026
3629AGBasic health (KVG)Held14.09.2026
3725ZHSupplementary (VVG)Held16.09.2026
3779ZHBasic health (KVG)Held16.09.2026
3861LUBasic health (KVG)Held18.09.2026
3322FRBasic health (KVG)Held19.09.2026
3790ZHBasic health (KVG)Held20.09.2026
3577VDBasic health (KVG)Held20.09.2026
3559FRBasic health (KVG)Held21.09.2026
3776LUSupplementary (VVG)Held25.09.2026
3712BEBasic health (KVG)Held25.09.2026
3910VDBasic health (KVG)Held25.09.2026
3694VDBasic health (KVG)Held26.09.2026
3942FRSupplementary (VVG)Held29.09.2026
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 = 'Säntis Partner'
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 = 'Säntis Partner'

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