13 Jun 2025

How I Doubled Inquiries for Premium Real Estate in Vienna Using Targeted Advertising and Website Optimization

Lishchuk Aleksandr

Premium real estate = long decision cycles, expensive leads, and zero margin for error.

Selling high-end properties is always a challenge.

Buyers take time. Costs are high. And irrelevant traffic wastes your budget.

I rebuilt the strategy — and here’s what I achieved in just 3 months:

✅ +100% more qualified inquiries

✅ CPL dropped from €120 to €30–40

✅ 100–120 leads/month, over 90% with buyer intent

🚦 The Problem

1. Decision-making: 3 to 9 months
2. CPL: €70–100 average
3. Audience: niche, selective, financially prepared

Standard funnels don’t work here.

I needed precision, structure, and real-time data.

🔧 What I Did

1. Filtered the traffic

Too many renters, tourists, and browsers were clicking.

🔍 I refined:

1. Keywords
2. Excluded rental and relocation searches
3. Focused on purchase-intent queries
4. Updated visuals for a premium audience

🎯 Result: fewer clicks, more quality

2. Rebuilt the website — for buyers, not for the brand

The site had too much noise and not enough direction.

🛠 I:

1. Reorganized content based on buyer profiles (family, lifestyle, relocation)
2. Added emotional context: views, privacy, neighborhood
3. Simplified the inquiry path

📈 Result: conversion rate doubled — with the same traffic

3. Analyzed user behavior

I tracked:

1. Time on property pages
2. Gallery engagement
3. Scroll depth
4. CTA interaction

📌 Then I:

1. Moved CTAs to visible positions
2. Removed visual clutter
3. Reduced user friction

🎯 Result: users reached out earlier and more often

4. Scaled smart, not wide

Instead of adding budget, I:

1. Unified campaigns to improve AI learning
2. Focused on macro goals (forms, calls, messages)
3. Paused underperforming sources
4. Optimized by geo, time, and device

📉 Result: CPL dropped from €120 to €30–40

5. Protected traffic quality

In premium markets, not all traffic is human.

✅ I:

1. Monitored sessions and sources
2. Filtered bots and click fraud
3. Cleaned the data weekly

💡 Clean data = accurate insights = better results