Revenue management started with compset rate monitoring. You track your competitors' pricing in real time, adjust your own rates relative to their positioning, and manage your rate premium or discount based on your perceived value advantage. The same logic applies to reputation — your review scores, response rates, and reputation trajectory exist in competitive context, and the hotels that understand that context make better strategic decisions. Why Compset Reputation Analysis Matters A 7.8 Booking.com score is not good or bad in isolation. It is good or bad relative to your competitive set. If your compset averages 8.4, you have a meaningful reputation gap that is suppressing your rate premium. If you are at 8.1 and your nearest competitor is at 7.6, you have a reputation advantage you should be monetizing — and you should know when that advantage is at risk. Step 1: Define Your True Compset Your reputation compset does not need to be identical to your pricing compset — though there should be significant overlap. A reputation compset should include: properties within 2 miles that serve the same traveler segment, properties appearing in the same search results on Booking.com and Expedia for your primary demand dates, and properties your current guests mention in reviews ("we considered staying at X but chose you"). Step 2: Build the Baseline Snapshot Pull the following data points for each compset member from publicly available sources: Step 3: Identify the Narrative Gaps