Our algorithm is designed to detect and respond to changes in market demand, regardless of whether an event is explicitly added to our system.
Detecting Spikes: The algorithm monitors booking patterns and occupancy trends in your area. If there’s an unexpected surge in demand for specific dates, the system adjusts prices upward automatically.
Event Independence: Even if no one (including you or our team) knows the reason for the demand, the algorithm ensures your prices capture the opportunity.
For example:
If a surprise event like a last-minute concert or an unplanned business convention causes a surge in bookings, the system will raise prices for those dates based on demand.
In addition to the algorithm, our Revenue Management (RM) team steps in to manually adjust prices for specific events to ensure they’re as accurate as possible.
Large-Scale Known Events: High-demand occasions like concerts, festivals, sports tournaments, or conferences.
Recurring Events: Predictable events like annual festivals or sports games, where historical data guides adjustments.
Setting Price Factors: For events we’re aware of, the RM team adds a “price factor” to your rates. This increases prices in a specific radius around the event location.
Radius-Based Adjustments: For major events, multiple pricing zones might be applied:
Close to the venue → Higher price factors.
Further from the venue → Gradual reduction in price factors.
As the event date approaches and more real-time data becomes available, these manual adjustments “decay.” The algorithm takes over, refining pricing based on the latest booking trends and demand levels.
Not all events are widely publicized, and sometimes, even the RM team might not have specific information about an event.
When demand spikes unexpectedly, the algorithm detects it through increased booking activity or occupancy rates.
Prices are adjusted automatically to reflect the heightened demand, ensuring you’re not underpriced.
For example:
A small-town food festival or a local company’s employee retreat might not be publicly listed, but if demand surges, your prices will respond accordingly.
For repeat events, PriceLabs relies on historical trends to set accurate price adjustments, even before demand fully materializes.
Predictable Events: For annual festivals, college football games, or holiday weekends, we analyze previous years' booking data to anticipate spikes.
New Listings: Even if your listing doesn’t have a booking history, the algorithm uses market-wide data to adjust prices based on similar properties and past demand patterns.
For example:
If a college football game consistently fills up local listings every November, PriceLabs will factor this into your pricing even before bookings start rolling in.
For events, location plays a key role in determining demand. PriceLabs accounts for this by adjusting prices based on your listing’s proximity to the event venue.
Listings closer to the event venue typically experience higher demand, so their prices are adjusted more aggressively.
Our approach to event pricing is not static—it evolves based on new data and feedback.
Placeholder Adjustments: When new events are announced, our RM team creates initial placeholders for pricing adjustments. These are refined as the event date approaches and more data becomes available.
Insights Across Locations: Lessons learned from one event can inform pricing strategies for similar events elsewhere. For example, if a Taylor Swift concert in Chicago leads to certain booking patterns, we use those insights for her concerts in other cities.
PriceLabs’ event pricing system is designed to handle all kinds of scenarios:
Known Events: Our manual inputs ensure precise adjustments for widely advertised events.
Unknown Events: The algorithm dynamically reacts to sudden spikes in demand.
Recurring Events: Historical data provides a strong foundation for predictable pricing.
This balance between automation and manual intervention ensures your prices are always optimized, whether the event is big, small, or entirely unannounced.
You don’t need to take any action to benefit from our event pricing system—it works automatically in the background. However, if you notice unusual trends or need specific adjustments, feel free to contact our support team at support@pricelabs.co.