ARPDAU is a commonly used metric in mobile marketing that identifies how successful an app’s monetization strategies are. In-app events that generate revenue, including in-app purchases, ads, and subscriptions are all taken into account when calculating the average.
By using a short-term, granular measurement method, marketers have constant access to data that is important in evaluating how their app is making money. ARPDAU values provide a real-time performance analysis of an app’s monetization strategies, identifying which events are generating the highest revenue and engagement.
Furthermore, marketers can track how changes in an app affect monetization and user spending behavior. Updates to an app’s user interface (UI), changes in subscription pricing, or the release of a new level in a gaming app are all factors that can impact an app’s monetization, and ARPDAU shows how the revenue fluctuates when these changes are initiated.
The formula to calculate ARPDAU is as follows:
Average revenue per daily active user (ARPDAU) = (Total daily revenue)/(Total number of active users that day)
If your app generated a total of $50,000 on a single day with a total of 25,000 users, your ARPDAU would be:
$50,000/$25,000 = $2
While ARPDAU measures the average revenue on a daily basis, average revenue per user (ARPU) is the measurement of the average revenue of an active user within a certain period of time that is longer than a day, usually a month or a quarter.
ARPU is more effective for analyzing long-term activities and determining comprehensive metrics like return on ad spend and acquisition cost, while ARPDAU is useful for short-term operations like agile decision-making, gathering granular insights, and making real-time adjustments.
While ARPDAU is useful for tracking the daily progress of an app’s revenue status, the characteristic of this short-term metric sets limitations to what marketers can measure. Below are several challenges marketers may encounter:
ARPDAU focuses solely on daily revenue, so it may not be helpful for getting the full picture of your app’s performance or revenue trends. This could also mean insufficient context or a lack of long-term revenue insights.
The ARPDAU model assigns all daily active users to a homogeneous group and does not take into account characteristics like differing user behaviors and engagement levels. Hence, it can be challenging to identify how different user groups contribute to revenue generation and if there are particularly valuable segments.
Different surrounding factors like fluctuations in user behavior, special events (like holidays) or marketing campaigns can impact the ARPDAU, and occasional outliers may skew the results. Because these factors are not considered in calculating the ARPDAU, it is necessary to incorporate other KPIs to conduct a more accurate measurement.