
13.1% Lead-to-Reservation Rate on Night-Shift Inquiries
From Midnight Ghost Town to $573K in Night Sales
Context
In real estate, speed kills or saves deals. When families compare apartments at 11 PM, they are not waiting until 9 AM for answers. Reaching out with static brochures hours later means they've already moved on. But simple answers aren't enough—prospective buyers want to know if they qualify for government housing subsidies and what their actual monthly payment splits look like.
The problem
Leads that came in outside business hours—nights, weekends, and holidays—sat unanswered until the next workday. Real estate sales teams don't work nights, but high-intent buyers do. With industry response times stretching up to 42 hours, these critical off-hours leads grew cold, leading to lost sales and wasted advertising spend.
What we built
An operational AI agent handling WhatsApp inquiries during off-hours for a major residential development in Medellín, Colombia. Beyond answering basic amenity questions, the agent calculates custom payment schedules on the fly and advises prospective buyers on Colombian government housing subsidies based on their salary. It qualifies high-intent leads and books showroom visits, syncing all data directly to HubSpot so sales reps have full context on each family's budget, size, and preferences before they arrive.
11:42 PM. A lead asks about an apartment in Medellín.
Scroll to play the conversation. The sales team is asleep. The agent isn't.
- Answers the question with real prices
- Checks the government subsidy against the salary
- Books the showroom visit
- Syncs the family's profile to HubSpot
The breakthrough was turning a static night-shift chatbot into an active financial advisor—qualifying buyers on WhatsApp based on salary and syncing full family profiles directly to HubSpot.
Leads fully qualified are defined as prospects where financial capacity, family profile, and government subsidy eligibility were parsed and synced to HubSpot.

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