ListingLogic holds a rich, longitudinal dataset spanning advertising performance, campaign outcomes, buyer demographics, media content and market trends across the property sector. ListingLogic 3.0 is the inflection point — moving from a data-aggregation platform to an intelligence-driven system that uses machine learning to predict outcomes and guide agent strategy. By training predictive models on existing data, reactive reporting becomes proactive recommendation — directly multiplying the value agents derive from the platform.
The Data Foundation
Outcome data paired with audience, creative and contextual attributes creates the ideal foundation for supervised models that predict real-world agent success.
Campaign & Performance
Marketing spend, impressions, clicks, cost-per-action, click-through and conversion metrics across Facebook, Google, Instagram and more.
Audience Intelligence
Detailed demographics (age, gender, device, location), engagement behaviour, and response patterns to property types, creative styles and messaging.
Listing Attributes
Property characteristics (type, bedrooms, location, price, features), creative content (images, video, descriptions) and market status.
Temporal Dimensions
Campaign timing, seasonality, day-of-week effects and multi-month historical trends that capture full market cycles.