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Online Marketing at Global Premier Villas
- 12. Strategy
- 13. Strategy Different type of holiday promoted each week.
- 14. Strategy Different type of holiday promoted each week. These targeted holidays included; Student Holidays Golf Holidays Skiing Holidays Cultural Holidays Florida Holidays Chill out Holidays
- 15. Strategy Different type of holiday promoted each week. These targeted holidays included; Student Holidays Golf Holidays Skiing Holidays Cultural Holidays Florida Holidays Chill out Holidays Timings based on major events and school holidays.
- 19. Fan 143 Fans Global Campaign Hugely Successful launch week.
- 21. Role of Faceboo
- 22. Role of Faceboo Central to campaign
- 23. Role of Faceboo Central to campaign Blog, Twitter, and You Tube Channels linked to site via RSS.
- 25. Facebook Posts
- 26. Facebook Posts Designed to Inform and Entice Fans.
- 27. Facebook Posts Designed to Inform and Entice Fans. Direct Link
- 28. Facebook Posts Designed to Inform and Entice Fans. Direct Link Stunning Photos
- 30. Inform and Enga Relevant Information and Discussion Posts to Engage with Customers.
- 31. Inform and Enga Relevant Information and Discussion Posts to Engage with Customers. What to wear on holiday?
- 33. Fan Interacti
- 36. Facebook Evaluation Fantastic Response Most successful in terms of subscribers.
- 37. Facebook Evaluation Fantastic Response Most successful in terms of subscribers. Student week most popular with over 500 views.
- 41. Key Statistic 7 videos 400 views Subscriptions & Friends
- 43. Video View YouTube Video Views (As of 9th May 2010) 130.0 97.5 65.0 32.5 0 Intro Student Skiing Skiing Bonus Florida Culture Golf
- 44. Blog
- 47. Key 6 blogs 47 views in total Linked in with Twitter
- 51. Twitter Strate
- 52. Twitter Strate Extensively used hash tags such as #summer, #villa and #travel.
- 53. Twitter Strate Extensively used hash tags such as #summer, #villa and #travel. Followed people of parallel interest.
- 54. Twitter Strate Extensively used hash tags such as #summer, #villa and #travel. Followed people of parallel interest. Attempted to engage with likeminded Twitterers by joining travel related lists.
- 55. Twitter Strate Extensively used hash tags such as #summer, #villa and #travel. Followed people of parallel interest. Attempted to engage with likeminded Twitterers by joining travel related lists. Tweeted about latest offers, holiday ideas and generic travel information.
- 57. Twitter Evaluati
- 58. Twitter Evaluati Twitter Rank of 51/100 (using ‘Twitter Grader’)
- 59. Twitter Evaluati Twitter Rank of 51/100 (using ‘Twitter Grader’) Struggled to acquire adequate followers.
- 60. Twitter Evaluati Twitter Rank of 51/100 (using ‘Twitter Grader’) Struggled to acquire adequate followers. Engagement over advertisements.
- 61. Analytics
- 63. Method
- 64. Method Assess the performance of social media initiatives.
- 65. Method Assess the performance of social media initiatives. Aligning our strategies to Business Objectives.
- 66. Method Assess the performance of social media initiatives. Aligning our strategies to Business Objectives. Google Analytics
- 67. Method Assess the performance of social media initiatives. Aligning our strategies to Business Objectives. Google Analytics Rich Data on ‘Page views’ ‘No. of visits
- 69. Benchmarks
- 71. Regression Model
- 72. Regression Model Assessing the strength of YouTube and Facebook strategies in referring to the client’s site
- 73. Regression Model Assessing the strength of YouTube and Facebook strategies in referring to the client’s site ‘Planted’ links
- 74. Regression Model Assessing the strength of YouTube and Facebook strategies in referring to the client’s site ‘Planted’ links Regression: Assess the strength of each variable
- 75. Regression Model Assessing the strength of YouTube and Facebook strategies in referring to the client’s site ‘Planted’ links Regression: Assess the strength of each variable Holding the other variables constant
- 76. Regression Model Assessing the strength of YouTube and Facebook strategies in referring to the client’s site ‘Planted’ links Regression: Assess the strength of each variable Holding the other variables constant The Model:
- 77. Regression Model Assessing the strength of YouTube and Facebook strategies in referring to the client’s site ‘Planted’ links Regression: Assess the strength of each variable Holding the other variables constant The Model:
- 79. Results
- 81. Interpretatio A 1% increase in ‘Facebook’ views lead to a 14.6% increase in GPV Page Views. A 1% increase in ‘YouTube’ views lead to a 8.6% increase in GPV Page Views. A 1% increase in ‘Search Engine’ views lead to a 99% increase in GPV Page Views.
- 83. Project Evaluation Given the data limitations, results suggest a positive impact of Social Media Initiatives Leads to significant increase in page views Greater awareness Translates to greater revenue opportunities
- 85. Project Evaluation Most Effective: YouTube Facebook Ad-ology (2009) Rubicon (2008) Nielson’s 1:9:90 rule Least Effective: Twitter Blogging Limitations: Distance to Properties
- 87. Future
- 88. Future Targeting (Meadows, 2008) iPhone App or ‘Lite Site’ Platform Created for Progression
- 92. References Twitter Grader (2009) [Online]. Available at: http://twitter.grader.com/ [Accessed 10 May 2010] Rubicon (2008) Online Communities and Their Impact on Business: Ignore at Your Peril Ad-ology Survey, US, 11/09 Meadows, S. (2008) Who are tomorrow’s customers and how will I serve them? Jam IP Ted Schadler (2008) Media and Marketing Online Survey North American Technographics Unknown Author (2010) A World of Connections – A Special Report on Social Networking. The Economist (January 30th)