Liz Pizzo

Director of Marketing, The Galman Group

Liz Pizzo is the Director of Marketing at The Galman Group, where she leads marketing strategy for a portfolio of more than 7,500 apartment homes across Pennsylvania and Delaware. With over 15 years of multifamily experience, she combines operational expertise with strategic leadership to drive business performance, brand growth, and innovation. Passionate about the intersection of marketing, technology, and operations, Liz focuses on leveraging data, artificial intelligence, and emerging technologies to modernize processes and deliver measurable results. She is an advocate for industry collaboration, professional development, and challenging conventional approaches to multifamily marketing. Outside of work, Liz is an avid traveler who loves exploring new destinations, experiencing different cultures, and planning her next adventure.

2:45- 3:15 PM

Wednesday Day 1-February 24

Workshop Hands-On Tutorial #2: Unlocking Your Multifamily Data-Turning Trapped Systems Into Owned Intelligence

Most multifamily teams are sitting on more data than they realize. They just can’t reach it. Pricing and availability live inside legacy property management systems and aging websites with no clean feed. Conversion data sits in vendor dashboards that were never built to talk to each other. So teams duct-tape exports together, or make decisions without the data at all. AI has changed what it takes to get that data out. In this session, two operators show how they used AI to unlock data their systems were holding hostage. Liz Pizzo of The Galman Group walks through pulling live pricing from older web systems with no export or API and turning it into a feed her team actually owns. Bri Webster of The Towbes Group shares how an AI transformation effort inside her company freed resident and operations data trapped in disconnected vendor systems and brought it into the company’s own reporting and intelligence layer. Attendees will leave with a simple framework to map their own trapped workflows back at the office, identify where AI can handle the extraction or connection work, and decide whether a quick fix is good enough or it’s time to build something that scales across the portfolio. You'll leave this session knowing these key points: 1. A repeatable method for mapping any data workflow end to end, pinpointing every hand-off where information gets stuck, duplicated, or lost between systems. 2. Practical, low-lift AI techniques for extracting pricing, availability, and operational data from legacy or closed systems that offer no clean exports or APIs. 3. A decision framework for when a manual or AI-assisted workaround is “good enough” versus when it’s costing more than a durable system, plus how to make that case to leadership in dollars and hours.