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Web Analytics | Clase 1/4

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Programa Ejecutivo de Negocios en Internet - CapacitarteUBA 2010 Web Analytics Buenos Aires Argentina

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Web Analytics | Clase 1/4

  1. 1. Web Analytics: Análisis del tráfico y comportamiento on-line<br />
  2. 2. Me presento<br />Prof. Nicolas Julio Valenzuela<br />
  3. 3. Prof. Nicolas Julio Valenzuela<br />34 años<br />@profvalenzuelaConsultor Web Analytics<br />
  4. 4. Prof. Nicolas Julio Valenzuela<br />Primeracuentapostmaster@dickens.edu.ar<br />
  5. 5. Prof. Nicolas Julio Valenzuela<br />+ de 10 años en la Industria web<br />
  6. 6. Curso Presencial o Webinar?<br />
  7. 7. El objetivoesdarleslas Bases…<br />… paraquegenerensuspropiosproyectosinteligentes<br />
  8. 8. La idea es hacer preguntas y Comunicarnos<br />
  9. 9. Pausar la charla, nos Beneficia a todos<br />
  10. 10. Aprovechar este momento para crecer<br />
  11. 11. Generando debates y nuevas preguntas<br />… conmigo y entre ustedes<br />
  12. 12. Comencemos!<br />… los escucho!! :)<br />
  13. 13. Web Analytics: Análisis del tráfico y comportamiento on-line<br />
  14. 14. Quees web Analytics<br />
  15. 15. Quemedimos<br />Informacion de comportamiento o Behavior<br />
  16. 16. Quemedimos<br />Paginasvisitadas?<br />
  17. 17. Quemedimos<br />Visitantes?<br />
  18. 18. Quemedimos<br />Fuente de Trafico?<br />
  19. 19. Porquemedimos<br />Informacion de actitud oActitudinal<br />
  20. 20. Cuandomedimos<br />Momento o Tiempo<br />
  21. 21. Como medimos<br />Entorno: en quecircunstancias<br />
  22. 22. Quees web Analytics<br />
  23. 23. Situacion de la web<br />
  24. 24.
  25. 25.
  26. 26. Modelos de web analytics<br />
  27. 27. Web Analytics Beta <br />
  28. 28. Web Analytics 1.0<br />
  29. 29. Web Analytics 1.0Foco en la Informacion<br />
  30. 30. Analytics 2.0<br />
  31. 31. Analytics 2.0<br />
  32. 32. Analytics 2.0<br />
  33. 33. En queModelo deweb Analytics estatuempresa?<br />
  34. 34. Sistemas de Informacion<br />
  35. 35. Sistemas de Informacion<br />
  36. 36. FUENTES PRIMARIAS Y SECUNDARIAS<br />
  37. 37. Niveles de Informacion<br />
  38. 38. Niveles de Informacion<br />
  39. 39. Niveles de Informacion<br />
  40. 40. Información de internet<br />Niveles de Informacion<br />
  41. 41. Niveles de Informacion<br />Información o “Counts”<br />
  42. 42. Niveles de Informacion<br />Indicadores<br />
  43. 43. Niveles de Informacion<br />KPI: Los Key Performance Indicators<br />
  44. 44. Niveles de Informacion<br />KSI: Los Key StrategicIndicators<br />
  45. 45. Niveles de Informacion<br />
  46. 46. Niveles de Informacion<br />A que niveles de informacion tuviste acceso?<br />
  47. 47. Herramientas deWeb Analytics<br />
  48. 48. Herramientas deWeb Analytics<br />
  49. 49. Herramientas deWeb Analytics: Tecnologias<br />
  50. 50. Herramientas deWeb Analytics: Tecnologías – Weblog analyzers <br />
  51. 51. Herramientas deWeb Analytics: Tecnologías – Weblog analyzers <br />
  52. 52. Herramientas deWeb Analytics: Tecnologías – Page tagging <br />
  53. 53. Herramientas deWeb Analytics: Tecnologías – Page Tagging<br />
  54. 54.
  55. 55. Customizacion de la InformacionSegmentos<br />
  56. 56. Customizacion de la InformacionReportes<br />
  57. 57. Customizacion de la InformacionGoalds y Funnels<br />
  58. 58. Customizacion de la InformacionGoalds y Funnels<br />
  59. 59. Customizacion de la InformacionGoalds y Funnels<br />
  60. 60.
  61. 61.
  62. 62. Customizacion de la InformacionGoalds y Funnels<br />
  63. 63. El objetivoesdarleslas Bases…<br />… paraquegenerensuspropiosproyectosinteligentes<br />
  64. 64. Hagancepreguntas<br />Ser curioso genera excelentes Ideas!<br />

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