Weekly Insights. November 14, 2020.
Best hospitality industry articles focused on 💵revenue, 📊markets, and 🎯strategy (Nov 8 - Nov 14, 2020).
Increase direct bookings with The Hotels Network
Review of the tech solution for the hotel's website that increases conversions and personalizes the guest experience.
Weekly Insights. November 7, 2020.
Best hospitality industry articles focused on 💵revenue, 📊markets, and 🎯strategy (Nov 1 - Nov 7, 2020).
How to differentiate your hotel and stand out from the competition?
Hotel room is a commodity. Hotel brand is becoming a commodity. The Internet and OTAs make all hotels look the same. How to make sure guests choose your hotel in the sea of other accommodation options?
Weekly Insights. October 31, 2020.
Best hospitality industry articles focused on 💵revenue, 📊markets, and 🎯strategy (Oct 25 - Oct 31, 2020).
Forward STAR - a new report from STR provides future performance data that enables more strategic decisions.
Review of the new STAR report that allows hotel revenue managers to evaluate the impact of their business decisions in advance of a specific period and stay ahead of the competition.
Weekly Insights. October 24, 2020.
Best hospitality industry articles focused on 💵revenue, 📊markets, and 🎯strategy (Oct 18 - Oct 24, 2020).
How to calculate the group room rate?
A method that calculates the minimum acceptable hotel group room rate based on total transient and total group revenue contributions.
Weekly Insights. October 17, 2020.
Best hospitality industry articles focused on 💵revenue, 📊markets, and 🎯strategy (Oct 11 - Oct 17, 2020).
PrivateDeal - innovative booking solution allows guests to propose a price for a stay
Review of the booking solution that allows automatic room rate negotiation on the hotel's website.
Weekly Insights. October 10, 2020.
Best hospitality industry articles focused on 💵revenue, 📊markets and 🎯strategy (Oct 4 - Oct 10, 2020).
How to create transient reservations forecast that is based on short-term trends?
How can we forecast number of reservations transient guests will book for a specific day in the future if we can not rely 100% on the last year's data? There is a forecasting method that gives more weight to the current short-term trends.
