REVIEWPROReputation drives revenue:How traveler reviews affect   hotel pricing power           Webinar                    ...
What is ReviewPro? Founded in 2008 with the idea that social medias could be used to  drive revenue growth by increasing ...
Three guests… Chris Anderson, Associate Professor in Cornell  University School of Hotel Administration Victoria        ...
What is GRI?   « GRI »  stands  for  Global  Revenue  Index  which  is  the  « Online     guest satisfaction index ».   ...
The results   1st  analysis  from  Cornell  University,  the  1st  hospitality     management program which is now world ...
   Analysis  of  Travelocity  which  is  a  major  North  American  Online     Travel Agency     Increase in review scor...
   2nd analysis from Victoria Edwards:   Develops a new synergie for the Revenue Management finding    out a correlation...
   Customer purchase is based on Value   Value = Price + Product (service and quality)   You can compare your hotel val...
- Compare variance month over month-Compare GRI to your pricing strategy during the same period(rate shopping tool)- Compa...
   3rd analysis from Fernando Vives Soler: Case study of Meliã    Hotels International   You have to identify the RM too...
Key takeaways   Reviews drive revenue   The Revenue manager role must become more and more    strategic and analytical ...
Conclusions   Controlling your online reputation is definitely essential and    ReviewPro is a great tool to help you do ...
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Reputation management

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Reputation management

  1. 1. REVIEWPROReputation drives revenue:How traveler reviews affect hotel pricing power Webinar Melle Cecilia Filippi MBA 2B
  2. 2. What is ReviewPro? Founded in 2008 with the idea that social medias could be used to drive revenue growth by increasing guest satisfaction. Today: it has thousands of hotel clients in more than 70 countries around the world Analysis, customer intelligence, competitive benchmarking and automative reports all provide insight for action. Daniel Edward Craig invites experts in order to discuss highlights of the research, its implications and how hotels can use these data to optimize rates, distribution channels and revenue. Measure of guest satisfaction through guests’ reviews Competitors analysis through competitive quality index Performance measure
  3. 3. Three guests… Chris Anderson, Associate Professor in Cornell University School of Hotel Administration Victoria Edwards, Co-founder of Buckhiester Management Fernando Vives Soler, Global Director of Revenue management for Meliã Hotels International
  4. 4. What is GRI? « GRI »  stands  for  Global  Revenue  Index  which  is  the  « Online  guest satisfaction index ». Has more than 1,000 of clients today Can be used for any types of hotels Has the ability to analyze reviews from more than 90 OTAs and  guests reviews’ websites It  takes  into  account  a  quantitative  analysis  or  review  scores  from all major OTAs and reviews’ websites. GRI  is  used  to  track  operational  and  service  excellence  as  well  as  performance  compared  to  direct  competitors    Analyze  an  establishment improvement over time
  5. 5. The results 1st  analysis  from  Cornell  University,  the  1st  hospitality  management program which is now world leader in this field: Guests’  reviews  and  social  medias  used  a  public  data  showing  relationship between reviews and bookings -Impact  of  Users  Generated  Content  (UGC)  and  social  medias  upon guests’ purchasing decisions and then hotel performance Relationship  between  online  reputation  and  hotel  performance  through three points: - Performance (Revenue Per Available Room) - Pricing power (Average Daily Rate) - Occupancy (Demand)
  6. 6.  Analysis  of  Travelocity  which  is  a  major  North  American  Online  Travel Agency  Increase in review score by 1 point (3.8 to 4.8) increases the  odds  of  being  booked  by  13.5%  and  can  increase  price  by  8%  while maintaining probability of purchase and market share Consistent results regarding the impacts with several other OTAs 
  7. 7.  2nd analysis from Victoria Edwards: Develops a new synergie for the Revenue Management finding out a correlation between Marketing (demand creation), Sales (demand capture) and Revenue management (demand management). Three generations of Revenue managers: - Generation 1: revenue manager is the reservation manager -Generation 2: manager more sophisticated, with more tools and more education -Generation 3: Actually combines all the elements, being the most efficient
  8. 8.  Customer purchase is based on Value Value = Price + Product (service and quality) You can compare your hotel value with the competitive set Indexes from review sites provide pricing signals You have to dedermine the « weight » you place on metrics provided by reputation management reports: how to use these metrics? Value rating on TripAdvisor, Expedia…  The quality of value index will be a driving force to your pricing decision
  9. 9. - Compare variance month over month-Compare GRI to your pricing strategy during the same period(rate shopping tool)- Compare your STR index balance to GRI- Compare your GRI with the competitive set GRI- Compare your forecast occuracy with your GRI variance- Drill down to see how your rooms score-Look at all of these metrics in terms of forward looking indicatorssuch as the rate shopping tools and the predictive forecast sites
  10. 10.  3rd analysis from Fernando Vives Soler: Case study of Meliã Hotels International You have to identify the RM tools you can use to have a competitive advantage within a hospitality market more and more challenging and competitive Challenging times because the demand isn’t really growing except in the Middle-East and North Africa How to push the hotel pricing policy? Use the new performance indicator such as the « Quality Penetration Index » (QPI) instead of the traditional and former performance indicators (Market Penetration Index, Average Rate Index, Revenue Generator Index…) QPI= Global Review Index of my hotel / Average Global Review Index of the competitive set
  11. 11. Key takeaways Reviews drive revenue The Revenue manager role must become more and more strategic and analytical Review metrics must be integrated as a key component of revenue management strategy Comparison of your review index (with rate, occupancy and RevPar indexes…) is paramount to maximize revenue and stay ahead of competition (finding optimal rates, positioning in the marketplace…)
  12. 12. Conclusions Controlling your online reputation is definitely essential and ReviewPro is a great tool to help you do that. Through this competitive tool, you have the opportunity to react more quickly to guests’ feedbacks and find solutions when it is needed. In a word, revenue is directly linked to reputation as a good online reputation with positive guests’ reviews has a positive impact on demand, guest satisfaction and, finally, revenues.
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