Abstract: A method for managing query-based product representations includes receiving product data supplied by a product supply entity, wherein the product data is associated with one or more products for which the product supply entity provides information, generating a product representation generator for the product supply entity from a query representation generator including a machine learning model, wherein the product representation generator is trained from the query representation generator based on a portion of the product data, wherein the query representation generator was trained from a representation generator template based on user query data supplied by a search provider, wherein the query representation generator is generic across multiple product supply entities, and providing the product representation generator specific to the product supply entity, wherein the product representation generator is operable to relate a product data representation generated by the product representation generator to r

Abstract: Systems, methods, computer storage media, and user interfaces are provided for providing analytics tools derived from a consumer decision journey model. Once the consumer decision journey for a particular good or service is constructed, a series of tools is provided to help a user understand the return on investment for providing different types of multimedia content at different stages in the consumer decision journey for a particular demographic. To do so, an interface is provided to the user that enables the user to select a desired tool and features of the tool the user wishes to exploit. Browser history from a plurality of consumers is transformed into a visual representation that provides insights into the types of multimedia content that can provide the greatest return on investment for a particular demographic at a particular state in the consumer decision journey for the selected category of goods or services.