New Lead Time Fields Added to Insights

We’re excited to announce the addition of a new set of Lead Time fields to

Insights

, all based on the arrival date. 🎉 These new fields will give you a clearer picture of how far in advance guests are booking, helping you analyze booking patterns and better plan for demand.

Along with these new fields, we’ve also updated the names of the existing Lead Time fields, which were based on the stay date, to make it easier to distinguish between the two calculations.

🔢 Here’s a quick summary of the changes:

New Lead Time fields based on arrival date
: Better for understanding how far in advance guests book.
Updated field names
: Clearly differentiate between stay date and arrival date calculations.
Detailed Lead Time Time Dashboard
: Incorporates both sets of lead time fields, based on type of analysis (more on that below).

🤔 Why the update?

By providing both arrival‑date‑based and stay‑date‑based lead time fields, you can pick the calculation that best matches your chart’s grouping:

When you’re grouping by a date dimension
(e.g., stay day, stay week, stay month), use the
stay‑date
fields. Since each night of a booking is counted only once within that date bucket, you’ll get a view of lead time variations across your stay calendar.
When you’re slicing by any other dimension
(e.g., room type, rate plan, or channel), use the
arrival‑date
fields. This method treats each booking equally, regardless of its length of stay, so you won’t see the average lead time influenced by a few long‑stay reservations.

For more details on when to use each of these options, check out our Help Desk Article that goes into the distinctions between the two.

We hope these updates make your analysis even more powerful and flexible! As always, let us know if you have any questions.