CONSUMER CONVERSION JOURNEY (CCJ) AUTOMATION FOR PUSH CAMPAIGNS
A push marketing campaign is configured to convert users into purchasers of a product or service. A graph containing nodes and edges connecting the nodes is constructed. The graph represents paths for users of a product to transition from an entry state indicated as an entry node, through engagement...
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creator | Goyal, Prabhakar Nanduri, Jayaram N.M |
description | A push marketing campaign is configured to convert users into purchasers of a product or service. A graph containing nodes and edges connecting the nodes is constructed. The graph represents paths for users of a product to transition from an entry state indicated as an entry node, through engagement states indicated as engagement nodes, to an objective state indicated as an objective node. Weights for the engagement nodes and a first set of probabilities for the edges are determined based on a first data set obtained without stimulus messaging. Each probability indicates a probability of users transitioning a corresponding edge of the graph. A second set of probabilities for the edges is determined based on a second data set that included stimulus messaging. A set of stimulus nodes of the graph for sending stimulus messages to users is selected to maximize the users that transition to the objective state. |
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A graph containing nodes and edges connecting the nodes is constructed. The graph represents paths for users of a product to transition from an entry state indicated as an entry node, through engagement states indicated as engagement nodes, to an objective state indicated as an objective node. Weights for the engagement nodes and a first set of probabilities for the edges are determined based on a first data set obtained without stimulus messaging. Each probability indicates a probability of users transitioning a corresponding edge of the graph. A second set of probabilities for the edges is determined based on a second data set that included stimulus messaging. 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A graph containing nodes and edges connecting the nodes is constructed. The graph represents paths for users of a product to transition from an entry state indicated as an entry node, through engagement states indicated as engagement nodes, to an objective state indicated as an objective node. Weights for the engagement nodes and a first set of probabilities for the edges are determined based on a first data set obtained without stimulus messaging. Each probability indicates a probability of users transitioning a corresponding edge of the graph. A second set of probabilities for the edges is determined based on a second data set that included stimulus messaging. A set of stimulus nodes of the graph for sending stimulus messages to users is selected to maximize the users that transition to the objective state.</abstract><oa>free_for_read</oa></addata></record> |
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subjects | CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
title | CONSUMER CONVERSION JOURNEY (CCJ) AUTOMATION FOR PUSH CAMPAIGNS |
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