From historical booking information to newer consumer-centric data sets like web shopping behaviors and guest reviews, this webinar will help you understand future demand more accurately and how different data sets can affect pricing.
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Webinar - The 7 Layers of Data that Will Improve your Pricing
1. The 7 Layers of Data That Will
Improve Your Pricing
2. | Introductions
| The building blocks of an
accurate forecast
| New consumer-centric data
sets to improve your pricing
| Online reputation is a critical
component of pricing
What We’ll Cover
5. Big Data = Better Data
Reviews &
Social Media
Competitor
Pricing Data
Booking &
Reservation Data
Web Shopping
Regrets &
Denials
Weather
Air Traffic
Traditional Revenue
Management
Traditional Revenue
Management
20. Impact of Reviews on Revenue
of travelers indicate that their decisions are highly influenced by reviews & other user
generated content.
The average number of websites travelers visit before booking a trip.
of consumers say they won’t book a hotel if it has zero reviews.
of customers will book a room at a property that responds to reviews over a hotel
that does not.
of travelers changed their primary choice during the booking process after using
social media and review sites.
The percentage by which a hotel can increase its pricing while maintaining the same
occupancy or market share if it improves its review scores by 1 point on a 5-point
scale.
92%
11%
38
53%
33%
(e-tailing group)
(Expedia Media Solutions/Compete)
(PhoCusWright)
(Cornell University)
(Tripadvisor)
(World Travel & Tourism Council)
68%
21. Impact of ORM on Revenue & Hotel Valuations
Industry references of landmark studies
A 1 point increase in a hotel’s Global Review Index™ equals up to:
+0.89%
in ADR
+0.54%
in Occupancy
+1.42%
in RevPAR
22. Driving Higher Demand
Hotel A
*same amenities and service at the same price
Positive online reviews
Less positive reviews
High popularity
=
Higher demand
=
Higher revenue
Low popularity
=
Lower demand
=
Lower revenueHotel B
Identical value proposition*
23. Leverage Your GRITM Scores…
• Analyze the evolution of your online reputation (GRITM) and take it into consideration when
optimizing pricing decisions.
24. … And Those of Your Competitors
• Monitor the evolution of your competitors’ online rating and consider how that could affect
your forecasting & pricing.
29. Guest Intelligence Across the Organization
Revenue & Distribution
General Manager
Food & Beverage
Quality & Operations
Sales & Marketing
Front Desk
Housekeeping &
Maintenance
31. Expert Tips for Climbing the Ranks
Adele’s recommendations:
• Analyze reviews for guests likes & dislikes.
• Ask, “How can we make guests happier?”
• Identify touch points that “light the guests up”.
• Review opportunities to “sparkle sunshine” on
guests daily.
• Read reviews & share with staff daily:
- Reinforce primary objective to make
guests happy.
- Understand their role & relationship
between guest happiness & revenue.
Adele Gutman
VP Sales, Marketing &
Revenue
Library Hotel Collection
Every time you make a guest truly
feel cared for, respected and
appreciated, you create an
opportunity for another positive
review. Every employee must do this
at every touch point, for every guest.”
“
32. Benefits of a High Ranking
Library Hotel Collection sees the following benefits
of their outstanding online reputation:
• More travel shoppers see the positive comments.
• Greater demand.
• More opportunities to convert.
• Higher average daily rate.
• Billboard effect.
• Happier staff.
HAPPY
GUESTS
GREAT
REVIEWS
HIGH
RANKING