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Vibhanshu Rao Tembhare,
Soumya Bisen,
Monika Kudopa,
Ruchi Jain,
- Student, Department of Computer Science and Engineering, Lakshmi Narain College of Technology and Science, Bhopal, Madhya Pradesh, India
- Student, Department of Computer Science and Engineering, Lakshmi Narain College of Technology and Science, Bhopal, Madhya Pradesh, India
- Assistant Professor, Department of Computer Science and Engineering, Lakshmi Narain College of Technology and Science, Bhopal, Madhya Pradesh, India
- Professor, Department of Computer Science and Engineering, Lakshmi Narain College of Technology and Science, Bhopal, Madhya Pradesh, India
Abstract
In todays digital era, most software developers prefer using paid advertising campaigns for their newly developed software to strengthen their online visibility and attract new users, this research explores some strategies to increase and maximize the reach of newly developed software through digital marketing campaigns, particularly focusing on the use of Artificial Intelligence (AI) tools to optimize campaign performance and increase the reach of newly developed software. To fully assess the potential of any digital marketing campaign, it is essential to target the right users. The strategic use of keywords is one of the most vital components of any successful advertising campaign. Keywords are very important for reaching the right audience and ensuring that ads are shown to users who are most likely to be interested in the software. Furthermore, the use of well-targeted keywords not only enhances the relevance of the digital advertisement but also helps to manage the cost per action (CPA) and optimize the overall campaign budget and efficiency. This research provides an in-depth analysis of the techniques and methodologies that can be used to optimize digital advertising campaigns for any newly developed software and it also highlights how AI- powered tools can be integrated into these campaigns to improve targeting accuracy and maximize the campaign performance.
Keywords: Artificial Intelligence in Digital Marketing, Return on Investment (ROI) in Digital Marketing, Machine Learning in Digital Advertising, Digital Advertising Optimization, Digital marketing, Branding, Emerging markets, integrated marketing communication
Vibhanshu Rao Tembhare, Soumya Bisen, Monika Kudopa, Ruchi Jain. Leveraging digital marketing Technique’s for newly developed Software using ai. Journal of Multimedia Technology & Recent Advancements. 2026; 13(01):-.
Vibhanshu Rao Tembhare, Soumya Bisen, Monika Kudopa, Ruchi Jain. Leveraging digital marketing Technique’s for newly developed Software using ai. Journal of Multimedia Technology & Recent Advancements. 2026; 13(01):-. Available from: https://journals.stmjournals.com/jomtra/article=2026/view=242118
References
- Hu Y, Shin J, Tang Z. Pricing of online advertising: cost-per-click-through vs. cost-per- action. In2010 43rd Hawaii International Conference on System Sciences 2010 Jan 5 (pp. 1- 9). IEEE.
- Chaffey D, Ellis-Chadwick F, Mayer R. Internet marketing: strategy, implementation and practice. Pearson education; 2009.
- Kaufman I, Horton C, Soltanifar M. Digital Marketing: Integrating Strategy, Sustainability, and Purpose. Routledge; 2023 Jun 29.
- Singh CB, Ahmed MM. Revolutionizing digital marketing: the impact of artificial intelligence on personalized campaigns. International Research Journal of Business and Social Science. 2024 Jan;10(1):573-85.
- Nagpal M, Petersen JA. Keyword selection strategies in search engine optimization: how relevant is relevance?. Journal of retailing. 2021 Dec 1;97(4):746-63.
- Spencer S, STRICCHIOLA J, Eric EN, FISHKIN R. The art of seo: Mastering search engine optimization. O&Reilly; 2012.
- Reddy JR, Saiteja B, Reddy MN. Marketing Campaign Optimization. InPredictive Analytics and Generative AI for Data-Driven Marketing Strategies 2024 Dec 10 (pp. 114-120). Chapman and Hall/CRC.
- Sánchez-Camacho C, Miguel San-Emeterio B, Carranza R, Feijoo B. Mapping two decades of evolution of artificial intelligence and machine learning in digital marketing and digital promotion to determine the current direction: A systematic review using bibliometrics.
- Dwihananto D, Moh TS. Effectively finding the right keywords for the target audience. In2007 IEEE International Symposium on Signal Processing and Information Technology 2007 Dec 15 (pp. 766-771). IEEE.
- Balaji MS. Building Strong Service Brands: The Hierarchical Relationship Between Brand Equity Dimensions. IUP Journal of Brand Management. 2011 Sep 1;8(3).
- Kotler P. Philip Kotlers contributions to marketing theory and practice. InReview of marketing research: Special issue–marketing legends 2011 Jul 13 (pp. 87-120). Emerald Group Publishing Limited.
- Duarte V, Zuniga-Jara S, Contreras S. Machine learning and marketing: A systematic literature review. IEEE Access. 2022 Aug 29;10:93273-88.
- Hu Y, Shin J, Tang Z. Pricing of online advertising: cost-per-click-through vs. cost-per- action. In2010 43rd Hawaii International Conference on System Sciences 2010 Jan 5 (pp. 1- 9). IEEE.
- Hamamah A, Al-Haimi B, Tajuri W. Navigating the Marketing Landscape: Artificial Intelligence and Big Data Role in Digital Marketing. Int. J. Acad. Res. Bunsiness Soc. Sci. 2024;14(10):2285- 99.

Journal of Multimedia Technology & Recent Advancements
| Volume | 13 |
| 01 | |
| Received | 28/06/2025 |
| Accepted | 30/01/2026 |
| Published | 20/03/2026 |
| Publication Time | 265 Days |
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