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.

GE invoiced leads, September 2026

1–6 of 6 · by invoice date

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GE invoiced leads, September 2026
LeadProductBrokerStatusInvoiced
3025Basic health (KVG)Bergsee FinanzHeld09.09.2026
3385Basic health (KVG)Säntis PartnerHeld15.09.2026
3515Basic health (KVG)Seeufer FinanzplanHeld17.09.2026
3266Basic health (KVG)Seeufer FinanzplanHeld18.09.2026
3378Supplementary (VVG)Aare Vorsorge AGHeld19.09.2026
3367LifeSäntis PartnerHeld21.09.2026
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 = 'GE'
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 = 'GE'

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