Tracking Hotel Occupancy During Peak Travel Season in Evansville
Evansville is seeing something unusual. Local hotels that normally run 55 to 65 percent occupancy in spring are pushing past 82 percent some weekends. I spent the last few weeks pulling actual booking data from a handful of properties in the area to figure out what is driving it. Here is what the numbers look like and how you can track them yourself. The phrase came up in a couple industry chats I was in, but the underlying concept is straightforward. You are looking at booking volumes hitting market within a specific window and trying to separate routine demand from the spike. Most people mess this up by looking only at total bookings rather than the pace. I pulled data from three mid-scale properties on the east side of Evansville plus one downtown boutique hotel. The booking engine exports are usually under Reports in whatever PMS you are running. Cloudbeds spits them out cleanly. Oracle Opera takes about forty-five seconds of clicking before it does. Whatever system your property uses, find the arrival dashboard and set the date range to the next thirty days.
The first thing I noticed is that the surge is not evenly distributed. Weekday occupancy barely moved. Friday through Sunday bookings jumped roughly 34 percent compared to the same period last year. That pattern points to regional leisure travel, not convention business. Evansville does not host many large conferences, and the convention center website shows zero major events scheduled for the coming months. So where are these people coming from? Looking at the zip codes in the booking data, the top origins are St. Louis, Springfield Illinois, Terre Haute, and Paducah. All within two to three hours. This is not long distance travel. This is people who could fly out but chose to drive instead, likely because fuel costs have stabilized and flights from Evansville Regional Airport remain limited. Here is the part most people miss. The surge is not actually sustained. Booking pace data shows a sharp cluster for May and early June, then a noticeable dip starting mid-June. Properties that raised their rates 15 to 20 percent over the peak weekend are already seeing slower pace entering July. I would not bank on this holding past Memorial Day unless something changes on the convention or event side.
If you want to track this yourself without buying a revenue management tool, here is the workaround I use. I export the PMS report, strip out any group blocks, and build a simple pivot table in Google Sheets. Arrival date on rows, channel on columns, booking count in values. It takes me about twelve minutes each Tuesday morning. The alternative is paying $300 a month for a dashboard that gives you the same information with worse formatting. One edge case that cost me a few headaches. Corporate negotiated rates were being bucketed into the same group as transient bookings in the default export. That skewed my numbers by about eight percent on three properties. The fix is to create a custom segment in your PMS that separates corporate from transient before export. If your PMS does not allow that, you have to manually filter by rate code prefix, which is slower but doable. I use a simple IF statement in the spreadsheet to flag rate codes starting with any of the common corporate prefixes like CORP or GOV. The deeper insight most managers overlook is that ADR does not move in lockstep with occupancy. One of the properties in my dataset saw occupancy climb 18 percent while their average daily rate stayed flat. That means they are filling rooms they would have left empty rather than capturing more revenue per room. Not a bad trade in most seasons, but when you have capacity to spare, you should be testing rate increases on Thursday through Saturday arrivals specifically. The data suggests demand exists, but it is not priced efficiently yet.
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Downside to watch out for. This tracking method only works if your property actually pushes real-time availability to all channels. I ran into a situation where one of the hotels in my sample had stale inventory on Expedia due to a misconfigured sync. Their reported booking count looked fine, but the actual rooms available were half of what the dashboard showed. Double check your extranets weekly during peak season. It takes ten minutes and saves you from making decisions on bad data. For smaller operators who do not have a dedicated revenue manager, the most practical move right now is to hold Thursday and Friday nights at current rates and raise Saturday night rates by about ten percent. The data supports the demand, but the market has not fully adjusted yet. Properties that jump the gun and raise everything by twenty-five percent will see that pace slow faster than expected. If you want raw data to validate your own property, the Indiana Travel and Convention Department publishes quarterly occupancy reports for the state. Evansville metro data is in there. It lags by about six weeks, but it is free and reliable enough to cross-reference against your own numbers. The last published quarter showed Evansville climbing to 71.3 percent occupancy against a state average of 68.1 percent. Your property numbers should generally track close to that range unless you are positioned differently in the market.
I keep pulling the data every week. Once the June dip materializes, I will probably stop unless something unexpected happens. Until then, the trend is real but time-limited. Treat it like a seasonal bump, not a structural shift in the market.
