From 38% to 76% MQL conversion: How AI agent team doubled inbound results for a real estate company

When you’re dealing with high-volume traffic and high-ticket sales, you can’t afford to treat every lead the same. Real estate agents browsing for clients, buyers with €30K budgets looking at €500K properties, researchers with no timeline all look the same in your analytics.

Without instant, intelligent qualification, your sales team drowns in unqualified leads while ready-to-buy prospects slip through the cracks. Dashly’s client, a real estate broker, needed a system that could engage visitors early, qualify them fast, and route only the right leads to their consultants. Here’s how they did it.

TL; DR

Company: An international real estate broker helping clients invest in property across Europe, Asia, USA and the Middle East.

Challenge: High-intent website traffic wasn’t converting to demos due to slow response times and manual qualification bottlenecks.

Solution: Dashly AI Agents with automated qualification, instant demo booking, and multi-channel nurturing across web chat and WhatsApp.

Results:

Company

Our client is an international real estate broker that has been connecting buyers with premium properties worldwide since 2010. Founded by Michael and his team, the company has grown from a small brokerage into an international powerhouse with offices across Eurasia and a network of over 1,000 partners globally. It specializes in helping clients purchase residential and investment properties in Europe, UAE, Thailand, USA and other high-demand markets.

The company also provides residency-by-investment consultation, making them a key partner for clients seeking both property assets and international mobility.

As CEO and co-founder, Michael has always been hands-on with the sales process. He regularly reviews pipeline metrics and talks to his sales team about what’s working and what’s not.

Challenge

220,000 monthly visitors exploring properties across Europe, UAE, USA and Asia. The traffic was there. Thousands of people browsing various object pages and then just leave. No conversation, no contact information, nothing.”

The Core Problems

1. Only capturing fully-formed intent

The client’s traditional form-based approach meant they only captured visitors who already decided to request a consultation. The majority of website traffic — early-stage prospects researching markets, comparing locations, or exploring visa options — left without engaging.

The missed opportunity: Thousands of high-intent visitors (browsing Dubai investment projects, Greece Golden Visa pages, property ROI calculators) were slipping through the cracks because no one engaged them proactively.

2. Poor-quality communication by first-line managers

But that wasn’t the only problem. Michael kept assessing the sales team performance and noticed inconsistency in the first-line managers work.

One SDR would ask about budget and timeline. Another would skip that entirely and jump straight to booking a consultation. The result? The senior consultants were getting on calls with people who had no budget, or who were just researching for a client, or who hadn’t even decided if they wanted to buy.

The issues were clear:

• Inconsistent qualification: Different SDRs asked different questions, creating data gaps and routing errors;
• Low data completeness: Many leads reached senior consultants without basic information (budget, timeline, residency interest);
• No lead prioritization: High-value €500K+ buyers and exploratory €50K browsers received the same treatment;
• Wasted consultation time: Managers spent 10–15 minutes on every call gathering basic information instead of discussing properties and closing.

The result: Senior consultants were spending time on unqualified leads while qualified buyers experienced slow, generic outreach.

3. Manual bottlenecks slowing the funnel

• Slow first response time: 2–6 hour delays in responding to inquiries, especially during off-hours and across time zones;
• Lead leakage across channels: Visitors engaged via website forms, WhatsApp, email, and phone, creating fragmented conversation history and duplicate manual work;
• Complex segmentation: Buyers ranged from lifestyle purchasers to golden visa investors to commercial real estate clients, each requiring different manager routing.

“I knew we needed to fix this,” Michael says. “But hiring more SDRs wasn’t the answer — that would just scale the inconsistency. We needed a system that could engage visitors early, qualify them consistently, and give our senior consultants the context they needed to close deals.”

Solution

After evaluating several solutions, Michael decided to implement Dashly’s AI agent team that could handle everything from that first proactive message to qualifying the lead to briefing the sales team before the call.

So we implemented AI agents to transform the client’s inbound funnel (from first engagement to consultation booking) with personalized, automated qualification.

AI Engagement Agent: Personalized first touch

The first step in the automated funnel is engaging high-intent visitors at exactly the right moment with exactly the right message.

How it works:

• Triggers proactive chat when visitors spend 90+ seconds on property listings or visit high-intent pages;
• Analyzes visitor behavior in real time: pages viewed, time on site, location interest, source;
• Writes a personalized, contextual first message based on visitor intent.

Impact: Converts passive browsers into active conversations with value-first, contextual engagement

AI SDR + AI Support: Intelligent qualification

Once engaged, visitors enter a seamless qualification flow handled by two agents working together.

AI SDR — Structured qualification

• Asks questions to determine buyer fit: contact details, budget, purchase goals, countries they’re interested in, prior experience.
• Validates MQL criteria in real time:
  • Budget ≥ €50,000
  • Not a real estate agent (buyers only)
  • Not selling property (purchase intent only)
  • Phone number captured

The agent uses all the available data in the conversation with a lead:

Why this works: Visitors get instant answers to objections and questions while the qualification process continues smoothly. No dead ends, no “let me connect you with someone else” — just fluid, intelligent conversation.

Impact: MQL conversion surged from 38.81% to 76% by combining better engagement with smarter, faster qualification

AI Agent Insight — Pre-call intelligence for managers

Before every consultation call, sales managers receive an AI-generated user summary that eliminates “getting to know you” time and allows them to start with value.

What’s in the user summary:

• Intent signals: Pages visited, time on site, return visits, source;
• Qualification data: Budget range, countries of interest, goals, experience;
• Conversation highlights: Questions asked, objections raised, specific properties or programs mentioned, engagement level;
• Readiness score: AI assessment of purchase intent and timeline based on behavior and responses.

How managers use it:

• Review in 1 minute before the call;
• Open with context: “I see you’re interested in Dubai for investment returns and UAE residency. Let’s start with your timeline and I’ll show you the 3 projects that match your €400K budget.”
• Focus the call on value and next steps, not information gathering.

Impact: Managers enter every call prepared, leads feel understood, and consultation time is spent on high-value discussions instead of basic qualification

How the agents work together

Data sync: All agents write to the custom CRM in real time: contact details, qualification status, intent signals, conversation history, and next steps.

See how a multi-agent AI SDR system automates inbound qualification and booking for high-ticket real estate sales.

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Results

Six weeks after launching Dashly’s AI agents, Michael pulled up his analytics dashboard. The numbers were hard to believe. The AI-agent system wasn’t just working, it was transforming the inbound funnel.

Here’s what changed across different stages of the funnel:

Funnel Performance: Before vs. After

Key Wins

1. AI qualification nearly doubled MQL conversion: 38.81% → 76%

With AI-driven qualification, the client’s team achieved a 96% improvement in lead-to-MQL conversion. This means:

• Faster lead scoring based on budget, intent, and behavior
• More complete data collection (budget, location preference, residency interest, phone number)
• Better filtering of non-buyers (agents, sellers) before they reach the sales team

2. SQL conversion more than doubled: 20.75% → 44%

The combination of better-qualified MQLs and AI-generated user summaries helped managers prioritize and close SQL-ready leads at more than twice the rate. Sales consultants now enter calls with full context — no wasted time on “tell me about yourself.”

3. Consultation booking rate increased 65%: 26% → 43%

Instant calendar availability, personalized booking offers, and multi-channel follow-ups (email + WhatsApp) drove a 65% lift in booked consultations from SQL leads.

Unlock predictable inbound for high-ticket sales: automate qualification, maximize demo bookings, and boost show-up rates with Dashly’s multi-agent AI-SDR.

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