Real Estate Portal UK & US
01The Problem
The real estate portal needed to drive website traffic and convert online interest into offline property visits across two markets (US & UK). They had no structured data collection framework to track ad performance and offline visit attribution. No reliable way to optimize spend or measure which campaigns actually drove physical site visits.
02The Solution
We built a data-first acquisition system using Google Ads with separate campaigns by market, location-based targeting, and comprehensive tracking infrastructure. Implemented full attribution from digital ads to offline property visit bookings, enabling continuous optimization.
03The Execution
Ad Strategy
Launched Google Search campaigns targeting high-intent, location-based keywords (Buy property in New York, Apartments for sale in London, Real estate investment UK, etc). Implemented Maximize Conversions bidding strategy with CPC fallback during learning phase. Created separate US residential and UK luxury apartment campaigns.
Funnel Structure
Search campaigns optimized for 'Schedule Site Visit' and 'Contact Agent' conversions. Display retargeting for users who viewed 2+ property pages. Frequency capping to prevent ad fatigue. Localized messaging by region and property type.
Targeting
Structured ad groups by city and property type for maximum relevance. Used keyword match types strategically: broad, phrase, and exact match. Dynamic keyword insertion to match user search intent.
Tracking & Attribution
Full attribution system deployed: Conversion tracking for form submissions, UTM parameters for traffic source identification, Google Tag Manager for real-time event tracking, CRM + call tracking for offline visit attribution connecting online ads to physical property visits.
04Key Metrics
05Visuals



06Results Summary
The real estate portal achieved 250% website traffic increase with 420 offline site visits scheduled and 310 attendees (74% attendance rate). Search ads delivered 6.5% CTR while display ads maintained 1.2% CTR. Cost per visit optimized to $38 (below $50 target). Data infrastructure enabled continuous campaign refinement, identifying high-impact keywords, understanding which audiences booked visits, and allocating budget based on ROI. The system proved that digital traffic successfully converts to real-world property visits.