{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9854327","patent":{"patent_number":"US-9854327","title":"Methods and systems for performing non-linear reach optimization by computing reach values","assignee":null,"inventors":[],"filing_date":"2016-05-24T00:00:00.000Z","publication_date":"2017-12-26T00:00:00.000Z","cpc_codes":["H04N","G06Q","G06Q","H04N","H04N","H04N","H04N","H04N","H04N"],"num_claims":18,"abstract":"Methods and systems for performing non-linear optimization of reach are described herein. The methods and systems may be used to compute the reach associated with different advertisement campaigns involving different combinations of spots. The method includes computing probabilities that a user will access a certain spot. The method includes retrieving a weight associated with the targeted user demographic. The method includes computing a first reach value using a first non-linear function, and a second reach value using a second non-linear function. The method includes comparing the two reach values to each other and to a predetermined reach threshold. The higher reach value larger than the predetermined reach threshold is selected and information associated with the selected reach value is provided to the user."},"analysis":{"summary":"Methods and Systems for Performing Non-linear Reach Optimization by Computing Reach Values provides a novel approach to optimizing advertising campaigns by accurately computing reach values. The core innovation lies in employing non-linear functions to provide a more nuanced assessment of reach, addressing the limitations of traditional linear models. This technology solves the problem of inaccurate reach estimation in advertising, which often leads to inefficient allocation of resources and suboptimal campaign performance. The key technical approach involves computing probabilities that a user will access a specific advertisement spot and incorporating weights associated with targeted demographics. The system then uses these probabilities and weights to compute reach values using multiple non-linear functions, comparing these values against predetermined thresholds to select the most effective campaign strategy. The business value lies in enabling advertisers to optimize their campaigns for maximum impact and ROI. This technology can be integrated with existing advertising platforms and analytics tools, allowing for seamless adoption and utilization. The market opportunity is significant, as the demand for more effective and targeted advertising solutions continues to grow. The ability to accurately assess and optimize reach is crucial for advertisers seeking to maximize their reach and impact, making this patent a valuable tool for advertisers across various industries. This innovation has the potential to transform the way advertising campaigns are planned and executed, leading to more effective and targeted advertising.","layman_explanation":"Methods and Systems for Performing Non-linear Reach Optimization by Computing Reach Values addresses a critical problem in the advertising industry: how to accurately and efficiently reach the target audience. Existing advertising methods often rely on broad assumptions and simplistic models, leading to wasted ad spending and missed opportunities. This innovation provides a more sophisticated and data-driven approach to reach optimization.\n\nImagine you're trying to promote a new product to a specific group of people, say, young adults interested in fitness. Traditional advertising might involve placing ads on general websites or TV channels, hoping that some of the target audience will see them. However, this approach is inefficient because many of the viewers or website visitors are not interested in fitness. Methods and Systems for Performing Non-linear Reach Optimization by Computing Reach Values works by analyzing various data points, such as user demographics, online behavior, and the likelihood of a user seeing a particular ad spot. It then uses this information to create a more accurate prediction of reach, allowing advertisers to focus their efforts on the most promising channels and ad placements.\n\nThis technology matters because it can significantly improve the effectiveness of advertising campaigns. By accurately predicting reach, advertisers can reduce wasted spending and increase the number of potential customers they reach. This can lead to higher sales, increased brand awareness, and a better return on investment. The market impact is substantial, as the advertising industry is constantly seeking ways to improve efficiency and effectiveness. This innovation offers a competitive advantage to companies that adopt it, allowing them to outperform their competitors and gain a larger share of the market.\n\nLooking ahead, this technology has the potential to be integrated with other advertising and marketing tools, creating a more comprehensive and data-driven approach to customer engagement. The market adoption timeline will depend on the willingness of advertisers to embrace new technologies and the ability of the technology to deliver tangible results. From an investment perspective, this innovation represents a promising opportunity for investors seeking to capitalize on the growing demand for more effective advertising solutions.","technical_analysis":"The Methods and Systems for Performing Non-linear Reach Optimization by Computing Reach Values patent introduces a sophisticated approach to advertising reach optimization, leveraging non-linear functions to provide a more accurate assessment of reach compared to traditional linear models. The technical architecture involves several key components. First, the system retrieves data on user demographics, including age, gender, location, and interests. Second, it computes probabilities that a user will access a specific advertisement spot, based on factors such as the spot's placement, time of day, and user browsing history. Third, it incorporates weights associated with the targeted user demographic, reflecting the importance of reaching specific segments of the audience. The core of the system lies in the computation of reach values using multiple non-linear functions. These functions are designed to capture the complex relationships between user demographics, spot probabilities, and overall reach. The patent describes the use of two different non-linear functions, which are compared against each other and a predetermined reach threshold. The higher reach value that exceeds the threshold is selected, and information associated with the selected reach value is provided to the user. The implementation details involve the use of various programming languages and platforms, depending on the specific requirements of the advertising campaign. The integration with existing advertising platforms and analytics tools is crucial for seamless adoption and utilization. The system must be designed to handle large volumes of data in real-time. The performance characteristics of the system are crucial for its effectiveness. The system must be able to compute reach values quickly and accurately, even for large-scale advertising campaigns. The optimization of the non-linear functions and the data processing algorithms is crucial for achieving optimal performance. The integration patterns involve the use of APIs to connect with existing advertising platforms and analytics tools. The system can be integrated with various data sources, such as user profiles, browsing history, and social media activity. The code-level implications involve the use of efficient data structures and algorithms to minimize processing time and memory usage. The system must be designed to be scalable and maintainable.","business_analysis":"The Methods and Systems for Performing Non-linear Reach Optimization by Computing Reach Values patent presents a significant market opportunity within the advertising technology sector. The core value proposition is the ability to optimize advertising campaigns by accurately computing reach values, leading to more effective and targeted advertising. The market opportunity size is substantial, as the advertising industry is constantly seeking more efficient and effective ways to reach target audiences. The competitive advantages of this technology include its use of non-linear functions to provide a more nuanced assessment of reach, its ability to compare different advertisement campaign strategies, and its integration with existing advertising platforms and analytics tools. The revenue potential is significant, as advertisers are willing to pay for solutions that can improve their campaign performance and ROI. The business models that can be employed include licensing the technology to advertising agencies and platforms, offering it as a service, or integrating it into a broader suite of advertising solutions. The strategic positioning of this technology is as a key enabler of more effective and targeted advertising. The ROI projections are compelling, as the technology has the potential to significantly increase reach and reduce advertising costs. The Methods and Systems for Performing Non-linear Reach Optimization by Computing Reach Values patent has the potential to disrupt the advertising industry by providing a more accurate and effective way to optimize advertising campaigns. The technology can be used by advertising agencies, platforms, and advertisers to improve their campaign performance and ROI. The market trends that support the adoption of this technology include the increasing demand for more effective and targeted advertising solutions, the growing importance of data-driven decision-making, and the continued evolution of the advertising landscape.","faqs":null,"topics":["advertising optimization","reach optimization","non-linear optimization","advertising campaigns","user demographics"],"tech_cluster":null},"seo":{"title":"Reach Optimization: Methods and Systems for Performing Non-linear Reach Optimization by Computing Reach Values","description":"Discover Methods and Systems for Performing Non-linear Reach Optimization by Computing Reach Values, a groundbreaking approach to ad campaign optimization. Patent analysis & claims.","keywords":["advertising optimization","reach optimization","non-linear optimization","advertising campaigns","user demographics","patent","patent US-9854327"]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9854327","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-9854327","citation_suggestion":"Patentable. \"Methods and systems for performing non-linear reach optimization by computing reach values\" (US-9854327). https://patentable.app/patents/US-9854327","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9854327","json":"https://patentable.app/api/llm-context/US-9854327","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T21:10:07.058Z"}