20% of closed deals involve AI agents: How Dashly 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. Tranio, 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 calls due to slow response times and manual qualification bottlenecks.

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

Results:

Company

Tranio 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.

Goal

Tranio had the traffic. 220,000 monthly visitors every month exploring properties across Europe, UAE, Thailand, the USA and other markets. The goal was clear: turn more of that inbound traffic into qualified consultations, faster and at scale.

Michael came to Dashly with three clear objectives:

1. Engage visitors earlier, before they left

A large share of Tranio’s traffic was early-stage buyers, researching markets, comparing countries, exploring residency options. They weren’t ready to fill out a form, but they weren’t uninterested either. Tranio wanted to start conversations with this audience and guide them toward a qualified call, not just wait for fully-formed intent to walk in.

2. Bring consistency to qualification

With a team of SDRs handling first-line conversations, Michael wanted every lead to go through the same structured process. Budget, timeline, location preference, purchase intent captured reliably, whoever picked up the conversation. The goal: senior consultants should receive leads that are already pre-qualified and profiled, so calls could focus on value and closing.

3. Remove manual bottlenecks from the funnel

Leads came in across time zones and multiple channels: web chat, WhatsApp, Telegram. Tranio wanted instant first response, unified conversation history, and routing that matched each buyer type to the right consultant automatically with no manual work in between.

“We needed a system that could engage visitors early, qualify them consistently in all channel, and give our senior consultants the context they needed to close deals.” — Michael

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 Tranio’s inbound funnel (from first engagement to consultation booking) with personalized, automated qualification.

Engagement scenarios: Starting the right conversation

The first step was engaging website visitors before they left. Dashly launched two proactive chat scenarios on Tranio’s website, running in parallel with different targeting logic. Dashly’s team handled the full setup, launch, and ongoing adjustments throughout the project.

Scenario 1: Broad engagement

Triggered for all visitors who spent 30 seconds on the site. The messages were general, an invitation to ask questions, explore options, or talk to a consultant. Wide reach, low specificity.

Scenario 2: Targeted engagement for active browsers

Triggered for a narrower segment: visitors who had already viewed multiple property listings in a single session. These visitors had demonstrated active intent, comparing locations and shortlisting options. The messages were more specific, referencing the types of properties they had been looking at.

Impact: The targeted scenario outperformed the broad one by 10x, despite reaching a fraction of the overall audience. Visitors who had already browsed multiple listings were far more likely to start a conversation when the message matched what they were already thinking about. Broad reach matters less than the right message at the right moment.

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:

A qualification framework built with Tranio

Before Dashly, Tranio had no tier-scoring system. Dashly worked with Tranio’s team to design a qualification framework from scratch. Each lead is assigned to one of six tiers based on budget, purchase intent, timeline, and buyer type:

• A — highest intent, clear budget, ready to move forward
• B — strong fit, some qualification gaps
• C — potential buyer, needs more nurturing
• E — early stage, not ready for a consultation yet
• Disqual — does not meet minimum criteria
• Unqualified — incomplete data, cannot be scored

A/B/C leads convert through the funnel 3 to 5x more successfully than Disquals. Managers have a clear prioritization signal: who to call first, who to route to a nurture sequence, and who to deprioritize.

Why this works: Visitors get instant answers to objections and questions while the qualification process continues smoothly. The tier system gives managers the structure to act fast on the right leads.

Impact: MQL conversion surged by 50% 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

Book a demo

Second funnel: Lead form + quiz

Of course, we kept a more traditional lead capture flow on the website. A visitor can submit a request and get qualified with a quiz 👇

The questions remain the same as in the chat with the AI agent but answers are pre-defined which makes it quicker for a visitor to choose. 

After qualification, the flow remains the same: we collect contact information, so Tranio managers could get in touch with quality leads.

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

Tranio runs three scenarios in parallel: AI agent, Quiz, and Lead form-only. Below is a one-month snapshot showing how each scenario contributed not only to top-of-funnel volume, but also to key downstream funnel steps. Divided by share:

What this means:

In this one-month snapshot, the AI agents are the main driver of the funnel.

It brought 69% of all leads. And it stayed the #1 source at every critical stage.

AI agents team consistently turn anonymous traffic into sales-ready conversations, with predictable qualification and clean handoff to the team.

Quiz and Form-only still contribute. But they play a supporting role next to the AI agent in this funnel breakdown.

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

Book a demo