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-CyberSecurity, 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 (AIML), Lakshmi Narain College of Technology and Science Bhopal, Madhya Pradesh, India
Abstract
In today’s 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 digital advertising 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 campaign performance
Keywords: Artificial intelligence in digital marketing, branding, digital advertising optimization, digital marketing, emerging markets, integrated marketing communication, machine learning in digital advertising, return on investment (ROI) in digital marketing
[This article belongs to Journal of Multimedia Technology & Recent Advancements ]
Vibhanshu Rao Tembhare, Soumya Bisen, Monika Kudopa, Ruchi Jain. Leveraging Digital Marketing Techniques for Newly Developed Software Using AI. Journal of Multimedia Technology & Recent Advancements. 2026; 13(01):12-22.
Vibhanshu Rao Tembhare, Soumya Bisen, Monika Kudopa, Ruchi Jain. Leveraging Digital Marketing Techniques for Newly Developed Software Using AI. Journal of Multimedia Technology & Recent Advancements. 2026; 13(01):12-22. 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. In: IEEE, editor. 2010 43rd Hawaii International Conference on System Sciences. 1st edition. Honolulu, USA: IEEE; 2010. pp. 1–9.
- Chaffey D, Ellis-Chadwick F, Mayer R. Internet marketing strategies. In: Chaffey D, editor. Internet Marketing: Strategy, Implementation, and Practice. 4th edition. London, UK: Pearson Education; 2009. pp. 150–200.
- Kaufman I, Horton C, Soltanifar M. Integrating digital strategy. In: Kaufman I, editor. Digital Marketing: Integrating Strategy, Sustainability, and Purpose. 1st edition. London, UK: Routledge; 2023. pp. 45–60.
- Singh CB, Ahmed MM. Impact of AI on personalized campaigns. In: Singh CB, editor. Revolutionizing Digital Marketing. 1st edition. New York, USA: International Research Journal of Business and Social Science; 2024. pp. 573–585.
- Nagpal M, Petersen JA. Keyword selection strategies. In: Nagpal M, editor. Journal of Retailing. 97th edition. New York, USA: Elsevier; 2021. pp. 746–763.
- Kotler P. Philip Kotler’s contributions. In: Review of Marketing Research, editor. Special Issue–Marketing Legends. 1st edition. Bradford, UK: Emerald Group Publishing Limited; 2011. pp. 87–120.
- Spencer S, Stricchiola J, Enge E, Fishkin R. Mastering search engine optimization. In: Spencer S, editor. The Art of SEO. 2nd edition. Sebastopol, USA: O’Reilly Media; 2012. pp. 45–90.
- Dwihananto D, Moh TS. Finding the right keywords. In: IEEE, editor. 2007 IEEE International Symposium on Signal Processing and Information Technology. 1st edition. Giza, Egypt: IEEE; 2007. pp. 766–771.
- Reddy JR, Saiteja B, Reddy MN. Marketing campaign optimization. In: Reddy JR, editor. Predictive Analytics and Generative AI for Data-Driven Marketing Strategies. 1st edition. Boca Raton, USA: Chapman and Hall/CRC; 2024. pp. 114–120.
- Sánchez-Camacho C, Miguel San-Emeterio B, Carranza R, Feijoo B. Mapping evolution of AI. In: Sánchez-Camacho C, editor. Systematic Review Using Bibliometrics. 1st edition. Madrid, Spain: Digital Promotion Press; 2024. pp. 10–25.
- Balaji MS. Building strong service brands. In: Balaji MS, editor. IUP Journal of Brand Management. 8th edition. Hyderabad, India: IUP Publications; 2011. pp. 1–15.
- Duarte V, Zuniga-Jara S, Contreras S. Machine learning and marketing. In: IEEE, editor. IEEE Access. 10th edition. New York, USA: IEEE; 2022. pp. 93273–93288.
- Hu Y, Shin J, Tang Z. Pricing of online advertising: cost-per-click-through vs. cost-per-action. In: IEEE, editor. 2010 43rd Hawaii International Conference on System Sciences. 1st edition. Honolulu, USA: IEEE; 2010. pp. 1–9.
- Hamamah A, Al-Haimi B, Tajuri W. AI and Big Data in marketing. In: Hamamah A, editor. Navigating the Marketing Landscape. 1st edition. Kuala Lumpur, Malaysia: International Journal of Academic Research in Business and Social Sciences; 2024. pp. 2285–2299.

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