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.

Car appointments, September 2026

1–36 of 36 · by appointment date

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Car appointments, September 2026
LeadCantonBrokerAppointmentStatus
3346FRAlpenblick Broker GmbH02.09.2026Held
3303SGAare Vorsorge AG02.09.2026Held
3095BEUetliberg Broker05.09.2026Held
3392LURheinfall Assekuranz05.09.2026Held
3333ZHUetliberg Broker06.09.2026Held
3184BSUetliberg Broker08.09.2026Held
3227FRLindenhof Beratung08.09.2026Held
3458VDLindenhof Beratung11.09.2026Held
3881AGUetliberg Broker14.09.2026Held
3338TISäntis Partner14.09.2026Held
4029FRRheinfall Assekuranz15.09.2026Held
3757FRUetliberg Broker15.09.2026Held
3990ZHAlpenblick Broker GmbH16.09.2026Held
3884BSBergsee Finanz17.09.2026Held
3924BERheinfall Assekuranz18.09.2026Held
4047VDLindenhof Beratung18.09.2026Held
4193AGRheinfall Assekuranz21.09.2026Held
4218ZHSäntis Partner21.09.2026Held
4178BSUetliberg Broker21.09.2026Held
3802TIRheinfall Assekuranz22.09.2026Held
4219BSSeeufer Finanzplan22.09.2026Held
3505FRSeeufer Finanzplan22.09.2026Held
4306FRAare Vorsorge AG23.09.2026Held
4100TIAare Vorsorge AG25.09.2026Held
4317AGBergsee Finanz25.09.2026Held
4070ZHAlpenblick Broker GmbH25.09.2026Held
3852AGAlpenblick Broker GmbH26.09.2026Held
4319LUAlpenblick Broker GmbH26.09.2026Held
4051TIRheinfall Assekuranz26.09.2026Held
4327FRAlpenblick Broker GmbH27.09.2026Held
3826BERheinfall Assekuranz28.09.2026Held
4217GEUetliberg Broker28.09.2026Held
3759ZHAlpenblick Broker GmbH28.09.2026Held
4391FRBergsee Finanz28.09.2026Held
3903ZHAlpenblick Broker GmbH29.09.2026Held
4242VDSäntis Partner30.09.2026Held
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 appointment_at >= timestamp '2026-09-01 00:00:00' at time zone 'Europe/Zurich'
  and appointment_at < timestamp '2026-10-01 00:00:00' at time zone 'Europe/Zurich'
  and appointment_status in ('scheduled', 'held')
  and product = 'Car'
order by appointment_at, lead_id
limit 50 offset 0

The row count

select count(*) as total
from leads
where appointment_at >= timestamp '2026-09-01 00:00:00' at time zone 'Europe/Zurich'
  and appointment_at < timestamp '2026-10-01 00:00:00' at time zone 'Europe/Zurich'
  and appointment_status in ('scheduled', 'held')
  and product = 'Car'

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