Roblox Results Presentation Deck slide image

Roblox Results Presentation Deck

Note Regarding Operating Metrics (continued) Q3 | 2023 Hours engaged We define hours engaged as the time spent by our users on the platform, which includes time spent in experiences (which refer to the titles that have been created by developers) and within platform features such as chat and avatar personalization. We calculate total hours engaged as the aggregate of user session lengths in a given period. We determine this length of time using internal company systems that track user activity on our platform, and aggregate discrete activities into a user session. We continuously strive to detect and minimize unauthorized use of our platform, including, but not limited to, botting. As we continue to improve our ability to detect and deter unauthorized use of our platform, we may see a minor impact to our overall hours engaged as our efforts to reduce botting become more successful. Average Bookings per Daily Active User ("ABPDAU") We define ABPDAU as bookings in a given period divided by the DAUS for such period. We use ABPDAU as a way to understand how we are monetizing across all of our users through the sale of virtual currency and subscriptions. Average new monthly unique payers We define new monthly unique payers as user accounts that made their first purchase on the platform, or via redemption of prepaid cards, during the month. Average new monthly unique payers for a specified period is the average of the new monthly unique payers for each month during that period. For example, the average new monthly unique payers for the quarter ending September 30, is the average of the new monthly unique payers for July, August, and September. Because we do not always have the data necessary to link an individual who has paid under multiple user accounts, an individual may be counted as multiple new monthly unique payers. Average returning monthly unique payers We define returning monthly unique payers as user accounts that have made a purchase on the platform, or via redemption of prepaid cards, in the current month and in any prior month. Average returning monthly unique payers for a specified period is the average of the returning monthly unique payers for each month during that period. For example, the average returning monthly unique payers for the quarter ending September 30, is the average of the returning monthly unique payers for July, August, and September. Because we do not always have the data necessary to link an individual who has paid under multiple user accounts, an individual may be counted as multiple returning monthly unique payers. Monthly repurchase rate We define monthly repurchase rate as the returning monthly unique payers in the current month, divided by the sum of the prior month's new monthly unique payers and returning monthly unique payers. Average monthly repurchase rate for a specified period is the average of the monthly repurchase rates for each month during that period. For example, the average monthly repurchase rate for the quarter ending September 30, is the average of the monthly repurchase rates for July, August, and September. Average bookings per monthly unique payer We define average bookings per monthly unique payer as bookings in the specified period divided by the average monthly unique payers for the same specified period. ROBLOX 5
View entire presentation