Online Marketing at Global Premier Villas

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Presentation by Global Premier Villas assessing the effectiveness of our online marketing strategy.

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  • Online Marketing at Global Premier Villas

    1. 1. Strategy
    2. 2. Strategy Different type of holiday promoted each week.
    3. 3. 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
    4. 4. 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.
    5. 5. Fan 143 Fans Global Campaign
    6. 6. Fan 143 Fans Global Campaign Hugely Successful launch week.
    7. 7. Role of Faceboo
    8. 8. Role of Faceboo Central to campaign
    9. 9. Role of Faceboo Central to campaign Blog, Twitter, and You Tube Channels linked to site via RSS.
    10. 10. Facebook Posts
    11. 11. Facebook Posts Designed to Inform and Entice Fans.
    12. 12. Facebook Posts Designed to Inform and Entice Fans. Direct Link
    13. 13. Facebook Posts Designed to Inform and Entice Fans. Direct Link Stunning Photos
    14. 14. Inform and Enga Relevant Information and Discussion Posts to Engage with Customers.
    15. 15. Inform and Enga Relevant Information and Discussion Posts to Engage with Customers. What to wear on holiday?
    16. 16. Fan Interacti
    17. 17. Facebook Evaluation Fantastic Response
    18. 18. Facebook Evaluation Fantastic Response Most successful in terms of subscribers.
    19. 19. Facebook Evaluation Fantastic Response Most successful in terms of subscribers. Student week most popular with over 500 views.
    20. 20. Key Statistic 7 videos 400 views Subscriptions & Friends
    21. 21. 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
    22. 22. Blog
    23. 23. Key 6 blogs 47 views in total Linked in with Twitter
    24. 24. Twitter Strate
    25. 25. Twitter Strate Extensively used hash tags such as #summer, #villa and #travel.
    26. 26. Twitter Strate Extensively used hash tags such as #summer, #villa and #travel. Followed people of parallel interest.
    27. 27. 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.
    28. 28. 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.
    29. 29. Twitter Evaluati
    30. 30. Twitter Evaluati Twitter Rank of 51/100 (using ‘Twitter Grader’)
    31. 31. Twitter Evaluati Twitter Rank of 51/100 (using ‘Twitter Grader’) Struggled to acquire adequate followers.
    32. 32. Twitter Evaluati Twitter Rank of 51/100 (using ‘Twitter Grader’) Struggled to acquire adequate followers. Engagement over advertisements.
    33. 33. Analytics
    34. 34. Method
    35. 35. Method Assess the performance of social media initiatives.
    36. 36. Method Assess the performance of social media initiatives. Aligning our strategies to Business Objectives.
    37. 37. Method Assess the performance of social media initiatives. Aligning our strategies to Business Objectives. Google Analytics
    38. 38. Method Assess the performance of social media initiatives. Aligning our strategies to Business Objectives. Google Analytics Rich Data on ‘Page views’ ‘No. of visits
    39. 39. Benchmarks
    40. 40. Regression Model
    41. 41. Regression Model Assessing the strength of YouTube and Facebook strategies in referring to the client’s site
    42. 42. Regression Model Assessing the strength of YouTube and Facebook strategies in referring to the client’s site ‘Planted’ links
    43. 43. 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
    44. 44. 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
    45. 45. 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:
    46. 46. 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:
    47. 47. Results
    48. 48. 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.
    49. 49. 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
    50. 50. 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
    51. 51. Future
    52. 52. Future Targeting (Meadows, 2008) iPhone App or ‘Lite Site’ Platform Created for Progression
    53. 53. International Venture
    54. 54. 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)

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