November 6, 2024
Setting the correct room rates is essential for any hotel, but pricing in the hotel industry presents unique challenges. Unlike industries that thrive on vast data sources, hotels—especially independent properties—operate with more targeted, guest-specific insights. Each property's unique characteristics mean that generalized, brand-wide strategies often fall short. That's where a "one-shot price experiment" can help. This method allows hotels to test a new rate and gather specific, actionable insights on guest behavior, empowering properties to optimize pricing based on their unique data. Here's how it works and how to apply it strategically to maximize revenue. What is a One-Shot Price Experiment? A one-shot price experiment involves testing a single new rate for a short period to understand how guests respond. Unlike other approaches, this method keeps the experiment focused and efficient—ideal for hotels looking for answers without an extensive history of data. This isn't about avoiding dynamic pricing or frequent adjustments, which are essential in revenue management; it's about finding an optimal rate faster and with less trial and error. The core idea is simple: set a new rate, observe how it performs, and use that information to inform your next move. But it's more than a "guess and check" exercise. Research, such as the study "Robust One-Shot Price Experiment" by Ali Daei Naby, Setareh Farajollahzadeh, and Ming Hu, shows that a one-shot approach, when done right, can quickly uncover guest price sensitivity, helping hotels discover rates that boost revenue without unnecessary complexity. How One-Shot Price Experiments Work: Insights from Research The science behind one-shot price experiments gives independent hotels a practical way to gauge demand with limited data. According to the study by Daei Naby, Farajollahzadeh, and Hu, a booking rate of roughly 30% at your current rate suggests you could test a higher "markup" price with reasonable confidence. If you're less sure, a lower "markdown" price may offer a clearer picture of guest demand- perhaps because bookings have been sparse. Framing it this way lets hotels assess their pricing confidence without needing turndown data, which most hotels don't track. If you're confident that at least 30% of guests would book at your current rate, testing a higher rate is a smart next step. This structured, data-informed approach minimizes risk, making it ideal for independent hotels experimenting with pricing without constant back-and-forth. How to Use One-Shot Price Experiments in Your Hotel If you're interested in applying this concept, here's how a one-shot price experiment might look for an independent hotel: 1. Identify a Baseline Rate Start by reviewing a typical weekend or weekday rate that has been performing reliably. This is your baseline against which to compare the experimental rate. 2. Select a New Rate Based on Your Booking Confidence If you're confident your current rate is performing well, try testing a slightly higher rate (e.g., $170 if your baseline is $150). If bookings are low, consider a discounted experimental rate to attract demand. 3. Forecast Your Targets Forecasting is critical to measuring success. The goal here is simple: increase overall revenue at a higher rate or improve profit by maintaining revenue with fewer rooms. If you expect to book ten rooms at $150 for $1,500 in total revenue, you should target filling at least nine rooms at $170 for $1,530 in revenue. You've found $30 more in revenue and have one less room to clean—anything beyond that is icing on the cake. 4. Run the Experiment and Observe Set your new rate for a brief period (e.g., a weekend or several weekdays) and monitor the response. Are bookings meeting your forecast? This observation period gives you real-world data on price sensitivity among your guests. 5. Analyze the Outcome and Decide If the experiment increases revenue with similar or fewer bookings, it's a success, and you may consider adopting this rate. If the higher rate didn't perform as expected, revert to the baseline and use the insight for future decisions. This streamlined process helps uncover valuable insights without extensive data, making it especially useful for independent hotels. How PricingService.ai Incorporates One-Shot Experiments Automatically One-shot price experiments can be powerful tools, but tracking and interpreting results manually can still be challenging, especially for properties with limited data. At PricingService.ai , we automate one-shot price experiments, gathering and applying insights seamlessly. Each rate adjustment becomes part of a smarter pricing strategy, freeing up your time and ensuring optimal pricing decisions. With one-shot experiments embedded in our platform, PricingService.ai addresses issues related to small sample sizes by consistently gathering insights to make better, data-driven decisions. This allows hotels of all sizes to capture more revenue while saving time and effort. Conclusion: Smarter Pricing with One-Shot Experiments One-shot price experiments are a powerful way for hotels to refine rates, boost revenue, and simplify decision-making. At PricingService.ai , we simplify sophisticated, adaptive pricing—no extra effort required. Ready to elevate your hotel's pricing strategy? Connect with us today to discover how one-shot experiments and automated insights can support your goals. References Daei Naby, Ali, Setareh Farajollahzadeh, and Ming Hu. 2024. "Robust One-Shot Price Experimentation." Available at SSRN .