Hi Creators,
We’ve just launched new event analytics to help you measure and understand your event performance. You can find this page under Engagement > Event & Updates page on the Analytics tab.
Here’s a look at what’s new:
- Compare your events on the same chart
You can now compare up to three of your past events on the same chart to understand what types of events resonate the most with your players. This lets you visualize engagement and monetization metrics plotted against the event day.
You can also filter these charts by gender, age, country, locale, platform, and operating system to get a more granular view of your audience.
In the example below, you see that “Winter Event” was more successful in bringing users in the first 2 days of the event, but “New Dragon” had more engagement Day 3 - Day 7.
You can also use this table to do a pre-post analysis. For a week long event, you can pick the following periods:
- 1st date range: 7 days before the event
- 2nd date range: Event period
- 3rd date range: 7 or 14 days after the event
Usually, you can measure the success of experience events and major updates by their impact on key metrics.
- Short-term success: KPIs increase only for the duration of an event, returning to baseline levels after it ends.
- Strong success: KPIs show a sustained increase, establishing a new, higher baseline after the event or update concludes. This is more common for major content and feature updates.
You should also select the metrics that align directly with the goal of your event or update for comparisons:
- For monetization: Track metrics like average revenue per daily active user (ARPDAU) and revenue.
- For engagement & reactivation: Track metrics like daily active users and returning users.
In the example below, you see that the event period has a higher DAU compared to the pre-event period. The post-event period still has higher DAU compared to the baseline.
- See a snapshot of your event’s key metrics
On the Events Analytics page, you’ll find a new table that summarizes key metrics of your experience during past event periods. This table should help you answer questions like:
- RSVPs: Which event had the most interest leading up to the start date?
- Joins from notifications: What percentage of RSVP’d users joined directly from a notification?
- Average playtime per DAU: Do users spend more time in your experience during the events?
- Average revenue per DAU: Which type of event generates the highest lift in average revenue?
You can sort this table by any column. All metrics are available starting from June 15th, 2025.
In the table below, you see that the “New Dragon” event had the highest average daily active users and average daily revenue. However, “Winter Event” had the highest number of RSVP’s and joins from notifications, which explains why it had higher engagement on the first few days of the event.[image]
To better understand how users are engaging with your events, we also recommend instrumenting funnels and custom events to track how users are progressing.
Check out LiveOps Essentials and LiveOps Planning to learn more about best practices for events and content updates. Let us know if you have any questions or feedback in the comments below!
