How a brokerage stopped losing bookings in the ninety days after the site visit
Lead generation was well funded and site visits were happening. What was missing was any system for the three months that decide whether a visit becomes a booking.
Sankalp Realty · 3 offices · 46 reps · long-cycle residential sales
Illustrative scenario
This is a composite scenario written to model a realistic outcome using documented ROI ranges. The organisation is fictional and the figures are modelled rather than measured. It is published during pre-launch and will be replaced with a verified, permissioned customer story.
Where they started.
- Site visits recorded as a note, with the important context, unit preferred, objection raised, decision-maker, finance status, living in the rep's head
- Budget and locality captured as free text, so working lists could not be filtered
- CRM updated hours after visits, from the office, in summary form or not at all
- WhatsApp negotiations on personal phones, lost when a rep left
- Site-visit-to-booking conversion unknown, so it was unclear whether the problem was getting visits or converting them
- Reps measured on dial volume, producing high activity and short calls
What they put in place.
Site visits as structured events
Recorded on the timeline with project, unit, outcome, objection and next step. Captured at the visit from the mobile app.
Real custom fields
Budget, locality, configuration, possession timeline and finance status as structured fields, making filtered working lists possible.
Mobile-first with offline capture
Full-parity mobile app so lead updates, click-to-call and on-site quotation sharing happened at the site, with offline sync for basements and peripheral locations.
Cadence for the post-visit window
Scheduled follow-ups tied to visit outcome, call sequences for prospects who went quiet, colour indicators surfacing overdue follow-ups.
Web WhatsApp inside the CRM
Negotiation history logged against the lead rather than living on a personal phone.
Metric change
Reporting switched from dial volume to connected calls, meaningful calls and average duration.
Modelled outcomes.
Each figure is stated with its caveat rather than presented as a headline.
connection rate
A data-quality and calling-window fix, identified once connection rate was reported alongside lead source.
average contact attempts after a site visit
Call sequences and outcome-driven follow-ups, replacing memory.
reduction in leads with no activity for 7+ days
The clearest leading indicator of post-visit leakage in this business.
site-visit-to-booking conversion, for the first time
Which revealed the constraint was downstream, not lead volume, redirecting spend away from additional portal leads.
Connection rate and meaningful calls changed how I coach. I stopped rewarding dial counts and started rewarding real conversations, and the numbers moved within a quarter. The bigger shift was realising we did not have a lead problem at all: we had a ninety-days-after-the-site-visit problem, and we had been buying more leads to solve it.
Model it against your own numbers.
Book a demo and bring your branch count, headcount and current stack. We will map what changes and what does not.
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