Moneyball for In-Person Sales: The Real Reason Your Community Tours Aren't Converting to Deposits

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Filling a unit fast feels like a win, but what if the fastest move-in is costing you $113,000 in lost revenue down the road?
This session challenges the conventional "convert quickly" playbook, demonstrating how integrated clinical, operational, and CRM data can identify which prospects are most likely to stay longer before they ever sign a lease.
Featuring real results and examples from Edgewood Healthcare's 60-community portfolio, this session highlights the impact of AI-powered sales intelligence. Drawing on data from the ALIS 500, the industry's first clinical and operational benchmarking dataset, presenters will show how length of stay varies significantly by lead source and acuity profile, and how AI-powered prospect summaries can surface risk signals early in the sales cycle. Attendees will leave with a framework for using their CRM data not just to close faster, but to close smarter.
Edgewood’s story is only possible when your CRM, EHR, and AI tools live in one platform. It proves that operators who slow down to qualify better are building more stable, more profitable communities.