45% reply rate on a dormant database — 30,000 property owners, 30+ countries, one AI campaign.
Nestr is a tech-first real estate brokerage in Dubai focused on the resale market. When they needed to activate years of accumulated property owner records, they deployed AI to do what no sales team could: reach everyone, instantly.
Results at a glance
45%
of property owners replied to outreach
12%
requested a call with a senior advisor
30+
countries reached in a single campaign
About Nestr
Sector: Real Estate Brokerage
Market: Dubai, UAE
Focus: Resale property market
AI deployed: WhatsApp
Nestr is a tech-first real estate brokerage operating in Dubai, focused on the resale property market. Unlike developer-facing brokerages, Nestr's business model centres on connecting property owners who want to sell with qualified buyers. Over several years of operation, Nestr had built a database of more than 30,000 to 40,000 property owners across Dubai - a significant commercial asset that was largely dormant.
The Challenge
The problem MonkSpaces.Ai was brought in to solve
Nestr's core challenge was activating a large, historically accumulated database of property owners to identify who was ready or open to selling.
Dormant database
Tens of thousands of property owner records had been collected over years but had not been systematically activated for resale outreach. Manual outreach at this scale was not operationally feasible.
Global investor base
Dubai's property market attracts investors from around the world. Nestr's database included owners spread across more than 30 countries, speaking different languages and operating in different time zones.
Inbound qualification
When new property owners showed interest in Nestr's services, there was no automated system to qualify and nurture them before routing to a sales representative. Early-stage conversations consumed senior advisor time.
The Solution
How MonkSpaces.Ai deployed the AI workforce
MonkSpaces.Ai deployed a WhatsApp-only AI workforce for Nestr, designed to operate across two distinct workflows: outbound database activation and inbound lead qualification.
Inbound qualification
Any new property owner showing interest in Nestr was routed through a WhatsApp AI that qualified their intent, answered questions about the selling process, and handed warm leads to senior sales representatives.
Outbound activation campaign
A personalised WhatsApp campaign was deployed across the historical database, initiating conversations with property owners to gauge selling intent and interest in a valuation conversation.
Real-time market intelligence
The AI was connected to live pricing and transaction data, enabling it to answer owner questions about current market values, recent comparable sales, and location-level price trends in real time.
CRM integration and multilingual operation
The AI integrated with Nestr's existing CRM for personalised, contextually relevant conversations at scale, and was configured to handle conversations in multiple languages across the global owner base.
The Outcome
Measurable results from AI execution
From the outbound activation campaign and inbound qualification workflow:
45% of property owners replied to the WhatsApp outreach - a strong activation rate for a historically dormant database.
12% of engaged owners requested a deeper conversation with a senior sales representative to explore selling options.
The campaign reached owners across more than 30 countries simultaneously, with no additional operational overhead.
See what happens
when AI runs execution.
If your teams are stretched by noise, the problem is not intent. It is execution at scale. Let's fix it today.