Amtr april 2011 data

1,019 views

Published on

Published in: Travel, Technology, Business
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total views
1,019
On SlideShare
0
From Embeds
0
Number of Embeds
19
Actions
Shares
0
Downloads
4
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

Amtr april 2011 data

  1. 1. from
  2. 2. eezeer data lab collects, moderates andaggregates on a real-time basis the publictimeline of twitter feeds of all airline brandsand the consumers interacting with them.From this source, we provide a complete setof statistical information on twitter usage inthe airline industry.
  3. 3. Section 1 :  ‘Best in class’ :  Top performing airline brand with the greatest number of all the tweets exchanged this month between an airline and its consumers.  Accounts for all the tweets collected :  outbound (from airline to consumer) and  inbound (from consumer to airline).
  4. 4. Section 1 : 184 airlines have registered, at least, one twitter account 77 airlines have an active twitter account
  5. 5. Section 1 : ‘Airline Listening Champions” : the top three airlines having received the most tweets from consumers.
  6. 6. Section 1 : ‘Airline Talking Champions” : the top three airlines having sent the most tweets to consumers.
  7. 7. Section 2: Beyond collecting, moderating and aggregating the twitter time line on the conversation between consumer and brands, eezeer data lab, also, monitors the information available directly at twitter on the airlines accounts. It allows for additional sets of data that permits other view of the airlines‟ activity over twitter.
  8. 8. Section 2:  Comparing April 2011 to March 2011, we see :  Inbound tweets = stable (from consumer to airlines)  Outbound tweets = +25% (from airlines to consumer)  Growth comes from the consumers interacting more and more with airlines
  9. 9. Section 2: ‘Total number of tweeting airlines’ : accounts for all the airlines that have created one or more accounts on twitter.
  10. 10. Section 2: ‘Active tweeting airlines’ : some airlines have created accounts that are not yet active. For eezeer data lab, an “active tweeting airline” has sent or received an average of at least 5 tweets daily over the month of April 2011.
  11. 11. Section 2: ‘Inbound tweets’ : is the total number of tweets received by airline brands from consumers in April 2011.
  12. 12. Section 2: „Outbound tweets‟ : is the total number of tweets emitted by airlines to consumers in April 2011.
  13. 13. Section 2: ‘Most Followed Airline’  twitter accounts can be followed by other twitter accounts.  The “Most Followed Airline” is the airline with the most followers at the end of April 2011. ‘Most Following Airline’  twitter accounts can follow other twitter accounts, consequently listening to the chatter on the public timeline of these users.  The “Most Following Airline” is the airline who follows the most other twitter accounts at the end of April 2011.
  14. 14. Section 3: eezeer data lab collects, moderates and aggregates the content of all the tweets to and from airlines brands. These tweets are assigned and rated according to one or more of six consumer‟s category of interest :  social conversation,  customer service,  timeliness,  food & entertainment,  comfort &security and  luggage handling. This section focuses on the tweets from the consumers to the airlines (inbound tweets). From the moderated tweets, we can calculate for each and every airline, the nature of the messages sent by consumers.
  15. 15. Section 3: Airlines talk to consumers while consumers tweet their concerns and satisfactions to airlines. Consumers have « subjects » about which they talk positively or negatively. Often, airlines answer in a much more neutral manner
  16. 16. Section 3: Between March 2011 and April 2011, tweets referring to « Timeliness » issues grew considerably Over the same period, tweets referring to « Customer Service » decrased drastically Consumers are tweeting more precise requests to airlines
  17. 17. Section 3: From a record high of 93.8% in March 2011, consumers tweeted less about Customer Service in April 2011.
  18. 18. Section 3: Measured at 1.2% of the tweets in March 2011, this category of tweets has almost been multiplied by 4. It is our monthly « Trending Topic ».
  19. 19. Section 3: The category « Food & Entertainment » has doubled as the subject of tweets (April 2011 vs March 2011).
  20. 20. Section 3: From a record high of 1.1% in March 2011 to 2.2% in April 2011, « Comfort & Security » is a rising item of concern.
  21. 21. Section 3: In March 2011, 2.2 % of the tweets mentioned « Luggage Handling » concerns. This category almost doubled in April 2011.
  22. 22. Section 4: As tweets are assigned to a consumer‟s category of interest, they are also reviewed and rated by eezeer‟s moderation team. The rating attributed can be positive, neutral or negative. By aggregating category and rating data, we can rank the airlines on each of these categories of interest. eezeer data lab calculations compare positive and negative tweets to the total number of tweets received by each airline for that category of interest. This method attributes a score to the airline on each category of interest. These scores rank and compare airlines together. A score of 100 represents the average of all airlines in a category. This section, based on April 2011‟s consumer tweets, presents the best airline for every category of interest.
  23. 23. Section 4: 2nd : Air France (107.0), 3rd : West Jet Airlines (106.7) In the top 10 airlines, we find :  4 North American airlines,  3 European airlines,  3 Asian Pacific airlines
  24. 24. Section 4: 2nd : West Jet Airlines (105.1), 3rd : Porter Airlines (105.1) In the top 10 airlines, we find :  4 North American airlines,  3 European airlines,  3 Asian Pacific airlines
  25. 25. Section 4: 2nd : Spice Jet (103.7), 3rd : Jet Airways (102.1) In the top 10 airlines, we find :  5 North American airlines,  3 European airlines,  2 Asian Pacific airlines
  26. 26. Section 4: 2nd : Cebu Pacific (111.4), 3rd : Alaska Airlines (111.0) In the top 10 airlines, we find :  7 North American airlines,  1 European airlines,  2 Asian Pacific airlines
  27. 27. Section 4: 2nd : Frontier Airlines (112.6), 3rd : West Jet Airlines (106.4) In the top 10 airlines, we find :  7 North American airlines,  2 European airlines,  1 Asian Pacific airlines
  28. 28. Section 5:
  29. 29. Section 5:  Once attributed to a consumer category of interest, tweets can have a positive, neutral or negative appreciation of the item by the consumer.  « Comfort & Security » is the top rated category by consumers where positive appreciation are more important than negative appreciation.
  30. 30. Section 5:  In a general manner, we can say that consumers tweet almost equally satisfaction and dissatisfaction when they tweet about airline‟s « Customer Service ».
  31. 31. Section 5:  When a consumer tweets an airline and the subject of it relate to « Timeliness », more than likely, its appreciation will be negative.  This month it appears to have been the most negatively appreciated item.

×