Strategy Lab: Finding and prioritizing the demand signals that matter

In this Strategy Lab, Blake Reiter and Daniel Foreman work through a high-demand October weekend for Hotel RV, where a wedding block hasn't picked up rooms and cutoff dates are approaching fast. They start with Ernest, Lighthouse's AI assistant, to get a strategy recommendation, then test it against business intelligence, rate shop, and market demand data.

The conversation covers when to hold group cutoffs firm to free up transient inventory, how to read comp set rate gaps caused by overconfident group holds, and how search origin and length-of-stay data reveal which demand signals - like a nearby children's event - actually warrant a pricing response versus which ones are noise.