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🏢 Real Estate🇦🇪 UAEAI Voice Agent

Zingo Real Estate:
AI Lead Qualification System

How we deployed a complete AI qualification layer for a UAE property portal — reducing agent follow-up time by 80%, tripling qualified viewings, and adding $2.4M to pipeline in 90 days.

80%
Reduction in Manual Follow-up Time
3.2×
More Qualified Viewings Booked
$2.4M
Pipeline Added in 90 Days
< 2 min
Average Lead Response Time
The Problem

1,200 Monthly Leads. 3% Conversion. Overwhelmed Agents.

Zingo was receiving over 1,200 property inquiries per month from Property Finder, Bayut, and their own website. With only 8 agents, follow-up was inconsistent — hot leads were being lost to competitors who responded faster.

Their lead-to-viewing conversion rate was 3% — industry average is 8–12%. Agents were spending 70% of their time on cold follow-up, leaving little time for high-quality buyer interactions.

Key pain points: no lead scoring, no automated follow-up, portal leads not integrated with CRM, agents duplicating work, no performance visibility.

The Solution

A Complete AI Revenue Architecture

🎙️

AI Voice Agent Deployment

Vapi-powered voice agent calling every new lead within 90 seconds. Bilingual Arabic/English.

📊

GoHighLevel CRM Build

Custom pipeline with 8 stages, lead scoring, and intelligent routing rules for all 3 portals.

🔄

Portal API Integration

Direct API feeds from Property Finder and Bayut — no manual imports, zero lead loss.

💬

WhatsApp Automation

Instant WhatsApp follow-up sequence for leads who don't answer calls — 73% open rate.

📈

Performance Dashboard

Real-time visibility into every agent's pipeline, response times, and conversion rates.

Implementation Timeline

From Problem to Live System in 21 Days

Days 1–3

Discovery & Architecture

Audited existing workflows, mapped lead sources, designed CRM architecture and automation flows.

Days 4–10

CRM Build & Portal Integration

GoHighLevel pipeline built, Property Finder and Bayut API integrations live, team permissions configured.

Days 11–16

AI Voice Agent Deployment

Vapi voice agent trained on property knowledge, scripts tested and refined, Arabic/English capability confirmed.

Days 17–21

WhatsApp & Automation Launch

Full automation sequences live, team trained, performance dashboard deployed.

Days 22–90

Optimization & Scale

Weekly performance reviews, script refinement, lead scoring model tuned based on real conversion data.

Tools Used

Technology Stack

⚡GoHighLevel CRM
🎙️Vapi Voice AI
📱WhatsApp Business API
🔄n8n Workflows
🏠Property Finder API
🏡Bayut API
🧠OpenAI GPT-4
📊Metabase Dashboard
🗣️ElevenLabs Voice
FAQ

Common Questions

How does AI voice qualify real estate leads?+
The AI voice agent calls new leads within 90 seconds, asks qualifying questions about budget, timeline, property type, and location preference, then scores the lead and routes hot prospects to available agents instantly.
What happens to leads who don't answer the AI call?+
Leads who don't answer trigger a WhatsApp follow-up sequence, then an email sequence, then a re-attempt call 24 hours later — a multi-touch approach that captures 40% more leads than single-call attempts.
Was the AI agent in Arabic or English?+
Bilingual — Arabic and English. The agent detects the language of the inquiry and responds accordingly, critical for the UAE market where both languages are used.
How did this affect the sales team?+
Agents went from spending 70% of time on cold follow-up to spending 80% of time on pre-qualified, ready-to-view prospects. Job satisfaction and quota attainment both improved significantly.
Can this system work for my real estate business?+
Yes — the architecture is replicable for any real estate portal or brokerage. Book a strategy call to discuss your specific setup.

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