Update a Pricing Recommendation When Booking Lead Time Changes
Help revenue managers revise a pricing recommendation when guests begin booking earlier or later than expected.
Booking lead time affects demand timing and when a price change matters. When it shifts, a revenue manager should update the recommendation from current booking data. The review needs comparable dates, channels, cancellations, events, and inventory remaining at each lead-time point.
State the observed change before inferring its cause. If most bookings for a Saturday formerly arrived 21 to 14 days before stay and now arrive seven to three days before, the property may need to retain flexibility longer. That finding does not prove that every guest is waiting for a lower price. Check channel mix and event information before changing rates.
On September 30, commercial director Helen said, “Why have we not raised the Saturday, October 10 rate? It is ten days away.” Revenue manager Sam replied, “Last year’s comparable Saturday had 64 rooms on books from 100 sellable rooms ten days before stay. This Saturday has 49 rooms on books from the same 100 sellable rooms at the same lead time. The last four comparable Saturdays picked up heavily inside seven days, primarily through direct and mobile channels. I recommend holding the current rate and reviewing pickup and cancellations each morning through October 3.” Helen asked whether the market would fill. Sam said, “The pattern supports that recommendation today. It remains an estimate. On October 3, seven days before stay, I will update it if pickup, cancellations, or the event information changes.”
Put the prior lead-time pattern and current pattern in the decision note, with the date of the next review. This lets another manager see why the team waited or changed course.
Practice with a pickup report that shows later bookings and a pending local event. Review whether the manager separates the observed lead-time shift from the forecast and names a specific trigger for revisiting price.
Practice these next
Help revenue managers explain current booking pace, forecast assumptions, and the decisions each can support.
Show revenue managers how to investigate a cancellation change and describe what the current data can support.
Show revenue managers how to revise a demand forecast after an event cancellation while preserving uncertainty and decision ownership.
Help revenue managers learn from a commercial experiment by comparing results with its forecast and checking the underlying evidence.
Help revenue managers respond to an owner’s competitor rate request by checking comparable facts before changing price.
Help revenue managers explain why a channel comparison needs room revenue, acquisition cost, and relevant operating facts.