Once you have this metric, there’s so much you can discover about your visitors’ planning behaviors! Here’s some fun things to do with your data: 

⏰ Change over time
Keep an eye out for how booking behaviors are changing over time, or how they compare pre to post covid. Most visitor attractions are finding that although visitors are more likely to book in advance now, the booking lead times are decreasing and becoming more last minute than ever before. 

📆 Day of week
Evaluate lead time by day of week (plus separately, public holidays) and month of year (plus separately, school terms versus breaks). These can be drastically different. This insight will help set goal expectations for how fast capacity should be booking out and when to take action on sales versus capacity management. 

✈️ Origin
Look at booking lead time by visitor origin, then analyze this over the course of the year. This information can be used to understand visitor journeys and planning behavior, especially for locals versus tourists, and might preempt when to show what advertisements in which marks to be efficient with marketing spend. 

👩🏽‍💻 Channel 
Check lead time via channel, including members. Again, this can help with advertising planning and also knowing when to pull levers on additional discounts or promotions if a channel is behind the expected booking rate. 

🖼️ Product 
Look at booking lead time by product – this will help decide when you should go on sale with new activities, or what booking windows make sense to support for different experiences, exhibitions or events. 

🏷️ Price 
Do the same by price, to see if your audience are sensitive to price when it comes to booking behaviors. 

🚷 Attrition
Especially for free or low cost admission (like members), booking lead time can be one of the greatest predictors of no shows and might influence when you put what tickets on sale, or how much overage you allow for visitors booking at different times.