pricing

The most dangerous thing about delayed revenue management intervention is that the losses don’t appear anywhere obvious

With its latest update to Google Hotels, Google introduced hotel-level price tracking, a feature that allows travellers to receive alerts when prices drop

The revenue management challenge is complex: How can I identify demand earlier, how can I increase visibility, how can I make my offerings more relevant

When every guest receives the same offers, hotels inevitably create a barrier between what they are trying to upsell and what guests actually value

Dynamic packaging can generate 3 to 5x higher cart value than flight-only bookings. That level changes how airlines can think about the transaction

Mobile only pricing on most OTAs applies specifically to app users, not to guests browsing the OTA’s website on a mobile browser

Sit in any revenue meeting and you’ll hear the same conversation. Occupancy. ADR. RevPAR. Metrics that served us well for years. But they’re incomplete

Rate shopping only tells you what competitors are charging, not why they are charging it or what demand conditions are shaping those decisions

If the underlying data is fragmented, outdated, inconsistent, duplicated or biased, AI systems will inevitably reproduce and amplify those weaknesses

Too often, hotels fall into a cycle where pricing decisions are driven almost entirely by what competitors are doing at any given moment