Real estate advertising in Thailand for our RED Experts agency: 9 closed deals worth $1,677,000 in 2 months

Case study review over 2 months of work.

RED Experts — our real estate agency in Phuket, helping clients profitably acquire liquid properties with annual returns above 13%, exclusive purchase terms, and full legal support.

Objectives

• Generate 300+ target leads in RU and ENG language segments.
• Conduct A/B testing across different language groups.
• Increase conversion into qualified leads.
• Increase conversion into closed deals.

Challenges and Solutions

Problem 1: High competition in the Phuket real estate market

Objective: Attract clients to purchase property in Phuket.

How we solved it

• Conducted a series of strategic sessions.
• Developed unique value propositions that speak the buyer’s language and reflect specific value for specific audience segments.
• Identified key triggers and pain points of the target audience and built compelling offers around them.
• Selected relevant projects together with brokers based on current market demand and buyer interest.
• Launched advertising campaigns for TOP-7 projects in Phuket across different price segments — from investment-friendly properties to premium real estate.

Problem 2: Low-quality leads from certain geolocations

Objective: Generate high-quality leads from priority countries.

How we solved it

• Conducted detailed analytics on traffic geolocations.
• Analyzed qualification conversion, dialogue quality, and meeting attendance rates by country.
• Optimized geo-targeting: disabled countries with low LTV and strengthened campaigns in markets with a history of real deals.

Problem 3: Campaign learning disruptions due to frequent format changes

Objective: Quickly train advertising campaigns and achieve stable results.

How we solved it

• Built a campaign management system allowing flexibility without disrupting trained algorithms.
• Performed regular campaign relaunches.
• Launched new bundles while preserving already trained campaigns.
• Adapted advertising based on the sales department’s workload.
• Each launch considered the required number of leads, priority projects, and current team capacity.

Problem 4: Leads with invalid phone numbers

Objective: Identify and eliminate the source of low-quality leads.

How we solved it

• Conducted a systematic analysis and identified recurring patterns: devices, behavior, and time intervals.
• Optimized campaigns and blocked over 355 devices and IP addresses.
• Implemented a real-time anomaly monitoring system.
• Filtered out 4,260 bots and direct visits that were not allowed to reach the main landing pages.

Problem 5: Slow lead processing by brokers

Objective: Automate lead qualification via SOUL AI and reduce time to qualification.

How we solved it

• Conducted A/B testing between manual processing and SOUL AI (ENG and RU traffic).
• Achieved 40–50% qualification rates in both segments, while AI significantly simplified team operations.
• Transferred all ENG traffic to SOUL AI; RU traffic operated in a hybrid format.
• Simplified SOUL AI qualification funnels to accelerate lead transfer to brokers.

Problem 6: Reduced connection rates with CIS clients via telephony

Objective: Build an effective contact system for CIS clients.

How we solved it

• Developed an updated contact system in collaboration with SOUL AI.
• Implemented a new outreach method through messengers.
• Reduced the number of “lost” CIS leads and improved qualification conversion rates.

Work Completed

• 74 launched ad groups.
• 200 exclusive video creatives with extended CJM for each advertising system.
• 16 quiz landing pages for different projects.
• Implementation of an anti-spam system.
• Blocked over 355 devices and IP addresses.
• Filtered 4,260 bots and direct visits.
• Automated lead qualification via SOUL AI.

Results

• 715 leads generated in 2 months across RU and ENG segments.
• Over 45% qualified leads from the total KPI.
• 300+ leads passed qualification.
• 9 closed deals with an average ticket of $186,330.
• $1,677,000 in total sales volume.
• Ad budget preserved thanks to filtering 4,260 bots.
• 11 leads processed daily by the sales department.
• Significantly reduced time to qualification thanks to SOUL AI and improved conversion to response and sale.