Events Data Now Available in the Pick-up Topic

You can now bring event context directly into your Pick-up analysis.

Following the earlier release that introduced Events in the Bookings topic, Events data is now available in the topic as well. This means you can go beyond aggregate pick-up trends and start understanding how booking changes behave across different event types, categories, and individual events — helping explain pick-up is accelerating, flattening, or behaving differently than expected.

Whether you’re validating assumptions about event-driven demand or adding richer context to ongoing pick-up monitoring, this unlocks a more complete view of how events influence booking behavior over time.

, including:

These fields mirror what’s already available in the Bookings topic, keeping event workflows consistent across performance and pick-up analysis.

You’ll already see these updates reflected in the existing

Pick-up Overview

dashboard:

This means you can immediately start layering event context into the views you’re already using — filtering to specific events, grouping by event categories, and adding helpful explanation to the pick-up patterns you’re monitoring, without needing to rebuild or reconfigure anything.

Pick-up is ideal for understanding how booking changes build over time and how those patterns differ by event type or category. However, it’s not always the right place to compare one event's pick-up to another across periods, especially when event dates shift year over year.

If you’re comparing two events (or the same event across different years) and the stay dates don’t align, we recommend using the

Event Pacing & Comparison Dashboard

instead. It’s designed specifically to compare lead time behavior, booking curves, and side-by-side event trajectories in a like-for-like way.