The new lease-up is the rarest form and fashion in multifamily. The community has no performance history. So, the prospect pool will have no fixed expectations. And a team that hasn’t yet built the habits and workarounds that accumulate at stabilized properties. We treat this scenario as a sprint to the finish!
Maybe we run it as an experiment instead. Walk in with hypotheses, not your standard lease-up SOPs. Test conversion at different price points – intra-day. Test how prospects respond to different communication cadences – real time, if possible. Watch which leasing behaviors actually move early velocity, and write down what you find. That’s organizational intelligence you can feed into a decision engine.
The learnings outlast the lease-up itself and should be part of your future decision algorithm. They hold the specific truth about what this market, this product type, and this team require. It’s the kind of insight no industry benchmark can impart.
Run every lease-up as a lab, and the third one you open beats the first, because you learned from the first instead of merely surviving it. A lease-up fills a property, and if you handle it right, it also fills your knowledge base for your decision engine to perform.
A lease-up that teaches you something keeps paying long after the units are full. Design it to teach, not just to lease. — Mike Brewer
Discussion Prompt: If you’re in or near a lease-up, what three assumptions about pricing, prospect behavior, or team effectiveness could you turn into tested hypotheses before it ends?