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REVIEWPRO
Reputation drives revenue:
How traveler reviews affect
   hotel pricing power
           Webinar


                     Melle Cecilia Filippi
                           MBA 2B
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
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
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
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)
   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 
   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
   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
- 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 indicators
such as the rate shopping tools and the predictive forecast sites
   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
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…)
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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Reputation management

  • 1. REVIEWPRO Reputation drives revenue: How traveler reviews affect hotel pricing power Webinar Melle Cecilia Filippi MBA 2B
  • 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. 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. 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. 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. 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. 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. 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. - 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 indicators such as the rate shopping tools and the predictive forecast sites
  • 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. 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. 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.