Porch Group, a homeowners insurance company that leverages vertical software and unique data, announced its Home Factors property intelligence platform generated a 1,054% return on investment for a regional home improvement brand in a recent marketing campaign.The Home Factors platform aims to enhance risk segmentation and underwriting precision for insurance carriers. By the close of 2025, the platform is expected to offer over 100 specific attributes, providing a comprehensive understanding of approximately 90% of properties across the United States. Beyond its primary application in insurance, Home Factors’ property segments are also utilized across various verticals to improve customer acquisition and retention.Home Factors distinguishes itself through its proprietary data on both interior and exterior home conditions. Employing advanced artificial intelligence models, the platform analyzes property condition signals—such as indicators for window or roof repair needs and signs of water intrusion—to identify homes most likely to require services. In the highlighted campaign, Home Factors was used to pinpoint properties with potential exterior upgrade requirements, specifically focusing on those showing signs of needed window or roof repairs.The platform’s audience segments significantly outperformed traditional targeting methods within a broader multi-channel strategy, achieving results over 600% higher than standard consumer audience approaches. These outcomes highlight the effectiveness of predictive property condition data in enabling more targeted, cost-efficient, and impactful marketing strategies.Matt Ehrlichman, Founder and CEO of Porch Group, stated, “This is another clear example of how Porch’s Home Factors can help other companies grow profitably. By targeting households with indicators of home repair needs, marketers are reaching consumers not just with interest, but with urgency.”Michelle Taves, VP and Group General Manager of Data and Marketing at Porch Group, added, “Our primary focus of helping insurance companies better assess risk is progressing very well, but we are excited about the other use cases and opportunities our unique data presents. This case study validates we can match real property characteristics to real customer demand. We’re helping brands connect with homeowners at exactly the right time—when the need is present and the likelihood to act is highest.”