Mercadeo analítico (Coursera)

Mercadeo analítico (Coursera)

Las organizaciones grandes y pequeñas están inundadas de datos sobre las elecciones de los consumidores. Pero esa riqueza de información no siempre se traduce en mejores decisiones. Saber cómo interpretar los datos es el desafío, y se espera que los mercadólogos en particular usen cada vez más la analítica para informar y justificar sus decisiones. El mercadeo analítico permite que los mercadólogos midan, gestionen y analicen el rendimiento de las actividades de mercadeo para maximizar su eficacia y optimizar el retorno de la inversión (Return On Investment, ROI).

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Más allá de las aplicaciones obvias de ventas y generación de clientes potenciales, el mercadeo analítico puede ofrecer conocimientos profundos de preferencias y tendencias de los clientes, lo cual se puede utilizar para futuras decisiones de mercadeo y de negocios.
Este curso, desarrollado en Darden School of Business de la Universidad de Virginia, le da las herramientas para medir los activos de la marca y del cliente, comprender el análisis de regresión y diseñar experimentos como una forma de evaluar y optimizar campañas de mercadeo. Terminará el curso con una sólida comprensión de cómo utilizar el mercadeo analítico para predecir resultados y asignar recursos sistemáticamente.

What You Will Learn

  • Cómo desarrollar y definir una arquitectura de marca y medir la repercusión de los esfuerzos de mercadeo en el valor de marca a lo largo del tiempo.
  • Cómo medir el valor de por vida del cliente y utilizar esa información para evaluar alternativas estratégicas de mercadeo.
  • Cómo diseñar experimentos básicos para poder evaluar sus esfuerzos de mercadeo e invertir sus fondos de mercadeo de la manera más eficaz.
  • Cómo establecer regresiones, interpretar resultados, explorar efectos confusos y sesgos y distinguir entre la importancia económica y la estadística.

Syllabus

WEEK 1
El proceso de mercadeo
¡Bienvenido! Empezaremos con una visión general del proceso de mercadeo y el papel transformador la analítica. Luego haremos un estudio de caso. ¿Ha oído hablar de Airbnb? Son el motor del mercado de la comunidad en línea que hace coincidir viajeros con anfitriones. Verá cómo utilizan la analítica y los sorprendentes resultados de sus análisis.

WEEK 2
Métricas para medir los activos de las marcas
Las empresas gastan millones en la creación de marcas por un motivo: les permite cobrar más por sus productos y servicios. En este módulo exploraremos este valioso, aunque intangible, activo. Analizaremos cómo desarrollar y definir una arquitectura de marca y cómo medir la repercusión de los esfuerzos de mercadeo en el valor de marca a lo largo del tiempo. Al finalizar este módulo, podrá medir el valor de marca y hacerle seguimiento. Así que, ¡empecemos!

WEEK 3
Valor de por vida del cliente
¿Qué tan valiosos son sus clientes? Es una pregunta difícil que le mostraremos cómo responder en este módulo donde exploraremos el valor de por vida del cliente o el futuro valor neto de una relación con el cliente. Esta medida de la relación con el cliente que mira hacia el futuro lo ayuda a conectar estrategias de mercadeo con consecuencias financieras futuras e invertir los fondos de mercadeo en el espacio adecuado para maximizar el rendimiento durante la vida del cliente. Al finalizar este módulo, sabrá cómo medir el valor de por vida del cliente y evaluar alternativas estratégicas de mercadeo de acuerdo con si mejoran la retención de clientes y el valor de por vida.

WEEK 4
Experimentos de mercadeo
¿Alguna vez se ha preguntado cuánto hay que bajar los precios para conseguir más ventas? ¿O qué texto de una pieza publicitaria es más efectivo en conversión de clientes? ¡Haga un experimento! Los experimentos permiten comprender la eficacia de las diferentes estrategias de mercadeo y estimar el ROI. Esta semana, exploraremos cómo diseñar experimentos básicos para que pueda evaluar sus esfuerzos de mercadeo e invertir sus fondos de mercadeo de la manera más eficaz. Lo ayudaremos a evitar una brecha entre los resultados de sus pruebas y la implementación del campo, y exploraremos cómo los experimentos en la web pueden ser implementados de forma económica y rápida. Al finalizar este módulo, podrá diseñar y llevar a cabo experimentos eficaces que pongan a prueba sus campañas, y luego utilizar los resultados para tomar futuras decisiones de mercadeo.

WEEK 5
Fundamentos de regresión
¿Alguna vez se ha preguntado cómo las variables influyen en el comportamiento del consumidor en el mundo real; cómo las condiciones meteorológicas y una promoción de precios afectan el consumo de helados? En este módulo, echaremos un vistazo a la regresión y cómo se utiliza para comprender dicha relación. Analizaremos cómo establecer regresiones e interpretar resultados, explorar efectos confusos y sesgos y distinguir entre la importancia económica y la estadística. Terminaremos la semana con una serie de entrevistas con verdaderos profesionales del mercadeo que comparten sus experiencias y conocimientos sobre cómo utilizan la analítica en el trabajo.

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