{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11295347","patent":{"patent_number":"US-11295347","title":"Systems and methods for forecasting campaign parameters using machine learning architectures and techniques","assignee":null,"inventors":[],"filing_date":"2021-01-30T00:00:00.000Z","publication_date":"2022-04-05T00:00:00.000Z","cpc_codes":["G06Q","G06N","G06N","G06N","G06Q","G06Q","G06Q","G06Q","G06Q"],"num_claims":20,"abstract":"Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform acts of: providing access to a forecasting system that includes a machine learning model configured to forecast one or more campaign predictions associated with an electronic advertising campaign; extracting historical campaign data from one or more databases using a distributed processing system; generating training features for training the machine learning model; executing a training procedure that is configured to train the machine learning model, at least in part, using the training features; and executing, after completion of the training procedure, the machine learning model to forecast a predicted ROAS value or a predicted budget value. Other embodiments are disclosed herein."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Systems and methods for forecasting campaign parameters using machine learning architectures and techniques","description":"Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform acts of: ","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11295347","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-11295347","citation_suggestion":"Patentable. \"Systems and methods for forecasting campaign parameters using machine learning architectures and techniques\" (US-11295347). https://patentable.app/patents/US-11295347","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11295347","json":"https://patentable.app/api/llm-context/US-11295347","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T14:35:28.349Z"}