Demand funnel
Trigger engine
The events that cause an outbound action, what each one is worth, and which triggers earn their interruption.
Triggers live
22
Twelve-week shape, pilot window
Actions fired
31,400
Twelve-week shape, pilot window
Median response
14 min
Twelve-week shape, pilot window
Opt-outs caused
0.9%
Twelve-week shape, pilot window
Ranked by fired
Top rows from the table below, largest first
Read off the same table, sorted so the concentration is visible. Ties are ordered as they appear in the register.
Value per interruption
Bookings per thousand actions, against opt-out cost
Highest opt-out, lowest return
Trigger performance
| Trigger | Channel | Fired | Responded | Visits | Bookings | Opt-out |
|---|---|---|---|---|---|---|
| New enquiry | Voice | 15200 | 78.4% | 894 | 121 | 0.4% |
| Visit reminder T−24h | 1784 | 62% | 214 | 38 | 0.2% | |
| Missed call callback | Voice | 3410 | 54% | 168 | 24 | 0.6% |
| Price change on saved project | 2180 | 31% | 96 | 14 | 1.4% | |
| New launch in saved city | 4120 | 19% | 84 | 11 | 2.6% | |
| Loan pre-approval ready | Voice | 1214 | 71% | 142 | 21 | 0.3% |
| Post-visit follow-up | Voice | 1196 | 68% | 62 | 34 | 0.5% |
| Dormant 30 days | 2496 | 12% | 38 | 4 | 3.1% |
Triggers to retire
Three per cent opt-out for four bookings. It is burning the permission we need for the triggers that work.
Growth · immediate
Sending every launch to every saved city is a 2.6% opt-out. Sending it to budget-matched buyers only should cut that by two-thirds.
Growth AI · next sprint
How to read this page
Demand funnel · Trigger engine
Window
Rolling 90 days of the India Realty pilot, refreshed nightly at 02:00 IST.
Sources
Aiera call logs, WhatsApp Business API, CRM stages, Meta and portal spend exports.
Joins
Every number is joined to a booking where one exists, not to leads, so cost lines stay comparable.
Limits
Ninety days is short for a ₹1.5 Cr purchase. Late-window cohorts are still open, so treat conversion as a floor.