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Datos de contacto en Marketing Cloud Engagement
Compatibilidad del operador Include

Compatibilidad del operador Include

Revise esta información para la compatibilidad en el uso del operador Include con paquetes de dimensiones de Audience Builder en Marketing Cloud Engagement.

Al filtrar en dimensiones relacionadas con un objeto único, como Exploración de página o Productos adquiridos, utilice el operador INCLUDE. Por ejemplo, Exploración de productos = Calzado INCLUDE Color = Rojo produce todos los contactos que exploraron la versión roja de calzado en su catálogo.

Nota
Nota Los valores de tiempo se calculan en función de la hora del servidor de Marketing Cloud Engagement, no de la zona horaria de su unidad de negocio u organización. El servidor de Engagement utiliza la hora estándar central de Estados Unidos (CST). El uso de CST puede afectar el valor de ayer y a otros valores que están relacionados con lo recientes que son los datos.

El operador INCLUDE admite estos casos de uso.

Por exploración de página

  • Page Browse Event Count (LTD) = n INCLUDE Page Browse By Name = "some page name"
  • Page Browse Date = mm/dd/yyyy INCLUDE Page Browse By Name = "some page name"
  • Page Browse Days = n INCLUDE Page Browse By Name = "some page name"

Por exploración de contenido

  • Por nombre
    • Explorar conteo de eventos: Number of Pages Browsed Yesterday (or last 7,14,30) = 1 INCLUDE Content Browse By Name = "algún nombre de contenido"
    • Explorar conteo de eventos: Content Browse Date = mm/dd/yyyy INCLUDE Content Browse By Name = "algún nombre de contenido"
    • Explorar conteo de eventos: Content Browse Days = n INCLUDE Content Browse By Name = "algún nombre de contenido"
  • Por nombre de atributo
    • Explorar conteo de eventos: Content Browse Date = mm/dd/yyyy INCLUDE Content Browse By Attribute = "algún nombre de atributo"
    • Explorar conteo de eventos: Content Browse Days = n INCLUDE Content Browse By Attribute = "algún nombre de atributo"

Por exploración de búsqueda

  • Search Browse Event Count (LTD) = n INCLUDE Search Browse By Search Term = "algún término de búsqueda"
  • Search Browse Date = mm/dd/yyyy INCLUDE Search Browse By Search Term = "algún término de búsqueda"
  • Search Browse days = n INCLUDE Search Browse By Search Term = "algún término de búsqueda"

Por visita

  • Days since last visit = n INCLUDE Average Days Between Visits = n
  • Days since last visit = n INCLUDE Average Time On Site In Minutes = n
  • Average Days Between Visits = n INCLUDE Average Time On Site In Minutes = n
  • Days since last visit = n INCLUDE Behavioral User Affinity = "alguna afinidad"
  • Days since last visit = n INCLUDE Behavioral User Affinity = "alguna afinidad"
  • Average Days Between Visits = n INCLUDE Behavioral User Affinity = "alguna afinidad"

Por productos adquiridos

  • Por nombre del producto
    • Products Purchased by Product Name (LTD, last 30, 60, 90, or other value) = "algún producto" INCLUDE Products Purchased by Date = mm/dd/yyyy
    • Products Purchased by Product Name (LTD, last 30, 60, 90, or other value) = "algún nombre de atributo" INCLUDE Products Purchased by Days = n
  • Por SKU de producto
    • Products Purchased by Product SKU (LTD) = "algún nombre de atributo SKU" INCLUDE Products Purchased by Date = mm/dd/yyyy
    • Products Purchased by Product SKU (LTD) = "algún nombre de atributo SKU" INCLUDE Products Purchased by Days = n
  • Por atributo de producto
    • Products Purchased By Attribute = "algún atributo" INCLUDE Products Purchased by Date = mm/dd/yyyy
    • Products Purchased By Attribute = "algún atributo" INCLUDE Products Purchased by Days = n
    • Products Purchased By Attribute = "algún atributo" INCLUDE Products Purchased by Days = n

Por productos explorados

  • Product Browse Event Count (LTD) = n INCLUDE Product Browsed By Name = "algún nombre de producto"
  • Product Browse Event Count (LTD) = n INCLUDE Product Browsed By SKU = "algún SKU de producto"
  • Product Browse Event Count (LTD) = n
  • Product Browse Event Count (LTD) = n INCLUDE Product Browsed By Day = n
  • Product Browse Event Count (LTD) = n INCLUDE Product Browsed By Date = mm/dd/yyyy
  • Product Browse by Days = n INCLUDE Product Browsed By Name = "algún nombre de producto"
  • Product Browse by Days = n INCLUDE Product Browsed By SKU = "algún SKU de producto"
  • Product Browse by Days = n INCLUDE Product Browsed By Attribute = "algún atributo de producto"
  • Product Browse by Date = mm/dd/yyyy INCLUDE Product Browsed By Name = "algún nombre de producto"
  • Product Browse by Date = mm/dd/yyyy INCLUDE Product Browsed By SKU = "algún SKU de producto"
  • Product Browse by Date = mm/dd/yyyy INCLUDE Product Browsed By Attribute = "algún atributo de producto"

Por categoría explorada

  • Category Browse Event Count (LTD) = n INCLUDE Category Browsed By Name = "algún nombre de categoría"
  • Category Browse Event Count (LTD) = n INCLUDE Category Browse Days = n
  • Category Browse Event Count (LTD) = n INCLUDE Category Browse Days = mm/dd/yyyy
  • Category Browse Days = n INCLUDE Category Browsed By Name = "algún nombre de categoría"
  • Category Browse Date = mm/dd/yyyy INCLUDE Category Browsed By Name = "algún nombre de categoría"

Por búsqueda

  • Search Browse Event Count (LTD) = n INCLUDE Search Browsed By Search Term = "algún término de búsqueda"
  • Search Browse Event Count (LTD) = n INCLUDE Search Browse Date = mm/dd/yyyy
  • Search Browse Event Count (LTD) = n INCLUDE Search Browse Days = n
  • Search Browsed By Search Term = "algún término de búsqueda" INCLUDE Search Browse Date = mm/dd/yyyy
  • Search Browsed By Search Term = "algún término de búsqueda" INCLUDE Search Browse Days = n

Por visitas y afinidad de usuario

  • Days Since Last Visit = n INCLUDE Average Days Between Visits = n
  • Days Since Last Visit = n INCLUDE Average Time On Site (in minutes) = n
  • Average Days Between Visits = n INCLUDE Average Time On Site (in minutes) = n
  • Average Days Between Visits = n INCLUDE Days Since Last Visit = n
 
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