SILLOET Impact
Every number on this page comes from advisor events run on the platform. No projections, no modeled uplift — the delta between what was logged by hand and what SILLOET returned before the event.
Increase in event-to-meeting conversion
Across advisors running four or more events per year
ROI on seminar spend within 90 days
Measured against booked meetings, not leads
Saved per event on manual data entry
No sign-in sheet transcription, no CRM copy-paste
In assets identified at events to date
Cumulative estimated AUM surfaced across the platform
Logged by hand versus identified by SILLOET, on the same attendee list.
Advisor names withheld. Estimated AUM is a modeled band from public and licensed wealth signals, not verified account balances.
"I've been running dinner seminars for 11 years. SILLOET showed me I was leaving $2M in pipeline on the table every quarter — and then gave me the tool to stop doing that."
"Generic marketing AI doesn't understand AUM. It doesn't know the difference between a seminar registrant and a cold contact. It doesn't speak compliance. SILLOET does."
We didn't find a gap, we built a category. That means the method matters as much as the result.
Registrations, check-ins, QR scans, and conversational notes are timestamped and structured — including the handwriting on the sign-in sheet.
Attendees are matched against public wealth indicators, ZIP-level income data, and behavioral signals specific to advisor prospects.
The intent model is trained on financial advisor event outcomes, not generic lead-gen behavior, and reports a 94% match accuracy threshold.
Every figure on this page is the difference between the advisor's own logged list and the identified list returned within 24 hours.
Send us one sign-in sheet. We re-score it and show you the delta on a twenty-minute call.
