PROJECT TSUNAMI
System 2 of 6
Predictive Intent
Engine
Identifies and scores potential buyers before they actively enter the market. A proprietary Tsunami Score (1-100) predicts purchase likelihood within a 3-6 month window.
Purpose
To proactively identify and score potential buyers before they actively enter the market. This system shifts the sales process from reactive lead chasing to proactive, precision-guided engagement, allowing Alberto to connect with high-intent buyers weeks or months ahead of competitors.
AI's Role
The AI analyzes a vast array of digital footprints and behavioral signals to calculate a 'Propensity to Purchase' score. This proprietary score, the 'Tsunami Score,' predicts the likelihood of a UHNW individual purchasing a luxury property in Dubai within a 3-6 month window.
Proprietary Prompt
The Tsunami Score Prompt
Act as a data scientist and predictive analyst for a luxury real estate brokerage. You have been tasked with creating a predictive scoring model called the "Tsunami Score" to identify individuals with a high propensity to purchase luxury property in Dubai. I will provide you with a data profile of a potential buyer, and you will output a Tsunami Score (1-100) and a brief justification. Your scoring model must weigh the following factors, with the weights provided: - Persona Match (30%): How closely does the individual match one of the "Eye of the Storm" archetypes? - Digital Intent Signals (40%): - Recent follows of Dubai developers or real estate agents on Instagram/LinkedIn. - Engagement with content related to Dubai luxury lifestyle (yachts, cars, fine dining). - Searches for international schools in Dubai. - Membership in exclusive online communities related to investment or luxury travel. - Financial Capacity Signals (20%): - Recent liquidity event (company sale, stock vesting). - Publicly disclosed promotions to C-suite or partner level. - Known association with family offices or venture capital. - Urgency Indicators (10%): - Recent visit to Dubai. - Expressed dissatisfaction with current country of residence (political or economic instability). Your output must be in the following format: Tsunami Score: [Score] Justification: [Brief analysis of why the score was assigned, referencing the weighted factors.]
Applications
USE CASES
Pre-Market Outreach
Identify and engage UHNW individuals showing early purchase signals before they contact any agent, securing first-mover advantage.
Lead Prioritization
Score incoming leads instantly to focus time and resources on the highest-probability buyers, eliminating wasted effort on tire-kickers.
Market Timing Intelligence
Aggregate Tsunami Scores across segments to predict market demand waves and advise developers on optimal launch timing.
Partnership Proposals
Present developers with predictive data showing the volume and quality of buyers you can identify before launch, proving your value as a strategic partner.
Case Study
Downtown Dubai Tower Pre-Launch
The Scenario
Before a major tower launch in Downtown Dubai, the Tsunami Score system was deployed to scan a database of 5,000 UHNW contacts. The system identified 127 individuals with scores above 80, indicating imminent purchase intent.
The Outcome
Targeted outreach to the top 50 scored individuals resulted in 23 confirmed viewings and 14 reservations within the first week — all before the project was publicly announced. The developer credited this pre-launch velocity as unprecedented.
Key Metrics