AI software for personalized marketing automation in SMEs: Enhancing customer experience and sales
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| Format: | Recurso digital |
| Sprache: | Englisch |
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2024
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| _version_ | 1866902112106971136 |
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| author | Wagobera Edgar Kedi Chibundom Ejimuda Courage Idemudia Tochukwu Ignatius Ijomah |
| author_facet | Wagobera Edgar Kedi Chibundom Ejimuda Courage Idemudia Tochukwu Ignatius Ijomah |
| contents | <p>This review paper explores the role of AI software in personalized marketing automation and its impact on customer experience and sales in Small and Medium-sized Enterprises (SMEs). By examining key AI technologies such as machine learning, natural language processing, and predictive analytics, the paper highlights how these tools enable businesses to deliver personalized content and recommendations, enhancing customer engagement and retention. The study also discusses the significant improvements in sales performance and return on investment (ROI) that SMEs can achieve through AI-driven marketing strategies. It includes case examples of successful implementations and outlines emerging trends and future opportunities for leveraging AI. The paper concludes with implications for SMEs and recommendations for future research, emphasizing the need for ongoing innovation and ethical considerations in AI adoption.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_14802001 |
| institution | Zenodo |
| language | eng |
| publishDate | 2024 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | AI software for personalized marketing automation in SMEs: Enhancing customer experience and sales Wagobera Edgar Kedi Chibundom Ejimuda Courage Idemudia Tochukwu Ignatius Ijomah AI in Marketing Customer Experience SMEs Sales Performance Predictive Analytics <p>This review paper explores the role of AI software in personalized marketing automation and its impact on customer experience and sales in Small and Medium-sized Enterprises (SMEs). By examining key AI technologies such as machine learning, natural language processing, and predictive analytics, the paper highlights how these tools enable businesses to deliver personalized content and recommendations, enhancing customer engagement and retention. The study also discusses the significant improvements in sales performance and return on investment (ROI) that SMEs can achieve through AI-driven marketing strategies. It includes case examples of successful implementations and outlines emerging trends and future opportunities for leveraging AI. The paper concludes with implications for SMEs and recommendations for future research, emphasizing the need for ongoing innovation and ethical considerations in AI adoption.</p> |
| title | AI software for personalized marketing automation in SMEs: Enhancing customer experience and sales |
| topic | AI in Marketing Customer Experience SMEs Sales Performance Predictive Analytics |
| url | https://doi.org/10.5281/zenodo.14802001 |