A computer-implemented method for intelligent targeting of files needing attention for the purpose of increasing a percentage of a plurality of files interacted with by a group of users, the method comprising: receiving data indicating whether each of the group of users has interacted with each of the plurality of documents; determining the percentage of documents that each of the group of users has interacted with based on the received data; calculating an average of the percentages; calculating a standard deviation of the percentages; identifying a user of the group of users that has interacted with a smaller percentage of the plurality of documents than a defined threshold, wherein the threshold is the average of the percentages minus a normal distributed statistical score for a confidence interval; selecting a channel over which to promote a document that the user has not interacted with, wherein the channel includes a location within an application used by the user; displaying in the location within the application a list of links including the document that the user has not interacted with; receiving an activation of the link; and opening the document that the user has not interacted with in response to the activation of the link, wherein the threshold is determined based on the equation I μ − Z E n , wherein I μ refers to the average number of documents interacted with by the group of users, wherein Z E n refers to the normal distributed statistical score for the confidence interval, wherein Z refers to an area under a standard normal curve corresponding to the confidence interval, wherein E refers to a standard deviation of documents interacted with by users of the group, and wherein n refers to a square root of a number of users in the group of users. receiving data indicating whether each of the group of users has interacted with each of the plurality of documents; determining the percentage of documents that each of the group of users has interacted with based on the received data; calculating an average of the percentages; calculating a standard deviation of the percentages; identifying a user of the group of users that has interacted with a smaller percentage of the plurality of documents than a defined threshold, wherein the threshold is the average of the percentages minus a normal distributed statistical score for a confidence interval; selecting a channel over which to promote a document that the user has not interacted with, wherein the channel includes a location within an application used by the user; displaying in the location within the application a list of links including the document that the user has not interacted with; receiving an activation of the link; and opening the document that the user has not interacted with in response to the activation of the link, wherein the threshold is determined based on the equation I μ − Z E n , wherein I μ refers to the average number of documents interacted with by the group of users, wherein Z E n refers to the normal distributed statistical score for the confidence interval, wherein Z refers to an area under a standard normal curve corresponding to the confidence interval, wherein E refers to a standard deviation of documents interacted with by users of the group, and wherein n refers to a square root of a number of users in the group of users. <EOS>