Turbocharged: how AI can accelerate, optimize, and automate Media buying
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Abstract
In the fast-evolving digital advertising landscape, media buying has become increasingly complex due to the vast amounts of data, multiple platforms, and shifting consumer behavior. Artificial Intelligence (AI) offers a transformative solution by automating, optimizing, and accelerating media buying processes. AI-driven algorithms analyze large datasets in real-time, enabling precise audience targeting, cost optimization, and performance forecasting. Machine learning models enhance bidding strategies by adapting to market dynamics, maximizing return on investment (ROI). Natural language processing (NLP) and deep learning facilitate ad personalization, improving engagement rates while minimizing manual intervention. Furthermore, AI-powered analytics provide advertisers with deep insights into campaign performance, allowing agile decision-making and strategic budget allocation. By reducing inefficiencies and automating repetitive tasks, AI empowers advertisers to focus on creative and strategic aspects rather than operational execution. The integration of AI in media buying not only enhances efficiency but also ensures data-driven decision-making, improving ad relevancy and customer experiences. However, challenges such as data privacy concerns, algorithmic biases, and dependency on AI models must be addressed for ethical and effective implementation. This paper explores the multifaceted impact of AI in media buying, detailing its advantages, limitations, and future prospects. By leveraging AI, businesses can navigate the complexities of digital advertising with greater precision, efficiency, and scalability, making media buying more intelligent and results-driven.
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References
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• Goel, P. (2016). Corporate world and gender discrimination. International Journal of Trends in Commerce and Economics, 3(6). Adhunik Institute of Productivity Management and Research, Ghaziabad.
• Das, Abhishek, Nishit Agarwal, Shyama Krishna Siddharth Chamarthy, Om Goel, Punit Goel, and Arpit Jain. (2022). “Control Plane Design and Management for Bare-Metal-as-a-Service on Azure.” International Journal of Progressive Research in Engineering Management and Science (IJPREMS), 2(2):51–67.
• doi:10.58257/IJPREMS74.
• Ayyagari, Yuktha, Om Goel, Arpit Jain, and Avneesh Kumar. (2021). The Future of Product Design: Emerging Trends and Technologies for 2030. International Journal of Research in Modern Engineering and Emerging Technology (IJRMEET), 9(12), 114. Retrieved from https://www.ijrmeet.org.
• Subeh, P. (2022). Consumer perceptions of privacy and willingness to share data in WiFi-based remarketing: A survey of retail shoppers. International Journal of Enhanced Research in Management & Computer Applications, 11(12), [100-125]. DOI: https://doi.org/10.55948/IJERMCA.2022.1215
• Mali, Akash Balaji, Shyamakrishna Siddharth Chamarthy, Krishna Kishor Tirupati, Sandeep Kumar, MSR Prasad, and Sangeet Vashishtha. 2022. Leveraging Redis Caching and Optimistic Updates for Faster Web Application Performance. International Journal of Applied Mathematics & Statistical Sciences 11(2):473–516. ISSN (P): 2319–3972; ISSN (E): 2319–3980.
• Mali, Akash Balaji, Ashish Kumar, Archit Joshi, Om Goel, Lalit Kumar, and Arpit Jain. 2022. Building Scalable E-Commerce Platforms: Integrating Payment Gateways and User Authentication. International Journal of General Engineering and Technology 11(2):1–34. ISSN (P): 2278–9928; ISSN (E): 2278–9936.
• Shaik, Afroz, Shyamakrishna Siddharth Chamarthy, Krishna Kishor Tirupati, Prof. (Dr) Sandeep Kumar, Prof. (Dr) MSR Prasad, and Prof. (Dr) Sangeet Vashishtha. 2022. Leveraging Azure Data Factory for Large-Scale ETL in Healthcare and Insurance Industries. International Journal of Applied Mathematics & Statistical Sciences (IJAMSS) 11(2):517–558.
• Shaik, Afroz, Ashish Kumar, Archit Joshi, Om Goel, Lalit Kumar, and Arpit Jain. 2022. “Automating Data Extraction and Transformation Using Spark SQL and PySpark.” International Journal of General Engineering and Technology (IJGET) 11(2):63–98. ISSN (P): 2278–9928; ISSN (E): 2278–9936.
• Putta, Nagarjuna, Ashvini Byri, Sivaprasad Nadukuru, Om Goel, Niharika Singh, and Prof. (Dr.) Arpit Jain. 2022. The Role of Technical Project Management in Modern IT Infrastructure Transformation. International Journal of Applied Mathematics & Statistical Sciences (IJAMSS) 11(2):559–584. ISSN (P): 2319-3972; ISSN (E): 2319-3980.
• Putta, Nagarjuna, Shyamakrishna Siddharth Chamarthy, Krishna Kishor Tirupati, Prof. (Dr) Sandeep Kumar, Prof. (Dr) MSR Prasad, and Prof. (Dr) Sangeet Vashishtha. 2022. “Leveraging Public Cloud Infrastructure for Cost-Effective, Auto-Scaling Solutions.” International Journal of General Engineering and Technology (IJGET) 11(2):99–124. ISSN (P): 2278–9928; ISSN (E): 2278–9936.
• Subramanian, Gokul, Sandhyarani Ganipaneni, Om Goel, Rajas Paresh Kshirsagar, Punit Goel, and Arpit Jain. 2022. Optimizing Healthcare Operations through AI-Driven Clinical Authorization Systems. International Journal of Applied Mathematics and Statistical Sciences (IJAMSS) 11(2):351–372. ISSN (P): 2319–3972; ISSN (E): 2319–3980.
• Subramani, Prakash, Imran Khan, Murali Mohana Krishna Dandu, Prof. (Dr.) Punit Goel, Prof. (Dr.) Arpit Jain, and Er. Aman Shrivastav. 2022. Optimizing SAP Implementations Using Agile and Waterfall Methodologies: A Comparative Study. International Journal of Applied Mathematics & Statistical Sciences 11(2):445–472. ISSN (P): 2319–3972; ISSN (E): 2319–3980.
• Subramani, Prakash, Priyank Mohan, Rahul Arulkumaran, Om Goel, Dr. Lalit Kumar, and Prof.(Dr.) Arpit Jain. 2022. The Role of SAP Advanced Variant Configuration (AVC) in Modernizing Core Systems. International Journal of General Engineering and Technology (IJGET) 11(2):199–224. ISSN (P): 2278–9928; ISSN (E): 2278–9936.
• Banoth, Dinesh Nayak, Arth Dave, Vanitha Sivasankaran Balasubramaniam, Prof. (Dr.) MSR Prasad, Prof. (Dr.) Sandeep Kumar, and Prof. (Dr.) Sangeet. 2022. Migrating from SAP BO to Power BI: Challenges and Solutions for Business Intelligence. International Journal of Applied Mathematics and Statistical Sciences (IJAMSS) 11(2):421–444. ISSN (P): 2319–3972; ISSN (E): 2319–3980.
• Banoth, Dinesh Nayak, Imran Khan, Murali Mohana Krishna Dandu, Punit Goel, Arpit Jain, and Aman Shrivastav. 2022. Leveraging Azure Data Factory Pipelines for Efficient Data Refreshes in BI Applications. International Journal of General Engineering and Technology (IJGET) 11(2):35–62. ISSN (P): 2278–9928; ISSN (E): 2278–9936.
• Siddagoni Bikshapathi, Mahaveer, Shyamakrishna Siddharth Chamarthy, Vanitha Sivasankaran Balasubramaniam, Prof. (Dr) MSR Prasad, Prof. (Dr) Sandeep Kumar, and Prof. (Dr) Sangeet Vashishtha. 2022. Integration of Zephyr RTOS in Motor Control Systems: Challenges and Solutions. International Journal of Computer Science and Engineering (IJCSE) 11(2).
• Kyadasu, Rajkumar, Shyamakrishna Siddharth Chamarthy, Vanitha Sivasankaran Balasubramaniam, MSR Prasad, Sandeep Kumar, and Sangeet. 2022. Advanced Data Governance Frameworks in Big Data Environments for Secure Cloud Infrastructure. International Journal of Computer Science and Engineering (IJCSE) 11(2):1–12.
• Dharuman, Narain Prithvi, Sandhyarani Ganipaneni, Chandrasekhara Mokkapati, Om Goel, Lalit Kumar, and Arpit Jain. “Microservice Architectures and API Gateway Solutions in Modern Telecom Systems.” International Journal of Applied Mathematics & Statistical Sciences 11(2): 1-10. ISSN (P): 2319–3972; ISSN (E): 2319–3980.
• Prasad, Rohan Viswanatha, Rakesh Jena, Rajas Paresh Kshirsagar, Om Goel, Arpit Jain, and Punit Goel. “Optimizing DevOps Pipelines for Multi-Cloud Environments.” International Journal of Computer Science and Engineering (IJCSE) 11(2):293–314.
• Sayata, Shachi Ghanshyam, Sandhyarani Ganipaneni, Rajas Paresh Kshirsagar, Om Goel, Prof. (Dr.) Arpit Jain, and Prof. (Dr.) Punit Goel. 2022. Automated Solutions for Daily Price Discovery in Energy Derivatives. International Journal of Computer Science and Engineering (IJCSE).