Real Estate Lead Nurturing Pipeline
Automated a full lead-to-listing pipeline for a property group — from portal enquiry through personalised follow-up, viewing scheduling, and agent briefing — cutting time-to-viewing by 67%.
168%
More viewings booked
90s
Time to first contact
22%
More deals closed
The Problem
A residential property group operating across three cities was receiving over 600 inbound enquiries per month from property portals, Google Ads, and their own website. With a team of 14 agents, manually calling every lead was impossible — especially in the evenings and weekends when buyers were most active.
The result was a leaking funnel: most leads never received contact within the critical first hour. Studies show that lead conversion rate drops 10× if the first contact takes longer than 5 minutes. This group's average was 4 hours. Of 600 monthly enquiries, only 80 converted to in-person viewings.
The Automation We Built
We designed a four-stage lead nurturing pipeline that operates 24 hours a day, 7 days a week:
- Instant capture and scoring: New leads from all portals trigger the workflow within seconds via webhook. An AI agent reads the enquiry, extracts budget, location preference, property type, and urgency signals, and assigns a priority score.
- Personalised WhatsApp sequence: The lead receives a personalised WhatsApp message within 90 seconds — addressing them by name, referencing the specific property they enquired about, and offering three available viewing slots. The message is written in the client's brand tone.
- Self-service booking: Confirmed viewings sync directly with the assigned agent's Cal.com calendar. The lead receives a confirmation with address, parking info, and what to bring.
- Agent pre-brief: 30 minutes before each viewing, the agent receives a WhatsApp summary of the lead: their stated budget, how many properties they've viewed, their urgency level, and three suggested talking points to personalise the conversation.
- Post-viewing follow-up: If no offer is made within 48 hours, an automated sequence offers alternative properties matching the buyer's stated criteria.
Results After 90 Days
Viewing bookings grew from 80 to 214 per month — a 168% increase — driven entirely by faster response and 24/7 availability. Agents reported spending zero time on lead briefing, as the pre-briefing summary replaced their manual CRM research. The group's deal close rate improved by 22% in Q1, directly attributed to higher-quality, better-prepared viewings.
Tools Used
- n8n — lead capture, scoring, and sequence orchestration
- Twilio WhatsApp API — two-way lead communication
- OpenAI GPT-4o — personalised message generation and lead scoring
- Cal.com — agent calendar and viewing slot management
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