Occupancy is No Longer Your Hardest Problem

Demand is at record highs and new supply has stalled. The growth lever just moved from marketing to retention. For most of the last fifteen years, the senior living playbook had one dominant chapter: fill the building. Marketing budgets, referral relationships, sales teams, tour conversion — the entire apparatus was built around lead volume, becauseContinue reading “Occupancy is No Longer Your Hardest Problem”

What 317 Days is Worth: The Resident Profile Effect

Residents with a complete profile stay nearly a year longer. Here’s why knowing who someone is changes how long they stay. There’s a finding in TSOLife’s dataset that sounds almost too large to be real. Comparing 121,890 residents, those with a complete TSOLife profile stayed an average of 317 days longer than those without oneContinue reading “What 317 Days is Worth: The Resident Profile Effect”

The Move-In Cliff: Why the First Week Decides Everything

Among residents who arrive with low quality of life, 37% leave within the first week. The window to change that opens at move-in. Operators tend to think of churn as a slow process: a resident gradually disengages, declines, and eventually moves out months down the line. For many residents, that’s true. But the data revealsContinue reading “The Move-In Cliff: Why the First Week Decides Everything”

Self-rated health as a leading indicator

Why a single question can predict outcomes better than many clinical assessments. Ask a resident one question — “how satisfied are you with your health?” — and their answer carries more predictive weight than most operators would believe. Across decades of large cohort studies, self-rated health independently predicts mortality and decline even after adjusting forContinue reading “Self-rated health as a leading indicator”

From days to dollars: modeling LOS revenue

Translating each additional day of length of stay into retained, recurring community revenue. Every senior living operator understands Length of Stay intuitively. A resident who stays longer is a resident whose unit doesn’t need to be re-marketed, re-toured, and re-filled. But “stays longer” has rarely been something operators could model — a number they couldContinue reading “From days to dollars: modeling LOS revenue”