“The role of ai-driven social media marketing in shaping consumer purchasing behaviour: An empirical analysis of personalization, predictive analytics, and engagement” DOI Creative Commons

Rajashri Patil,

K Shivashankar,

Shantavva M. Porapur

и другие.

ITM Web of Conferences, Год журнала: 2024, Номер 68, С. 01032 - 01032

Опубликована: Янв. 1, 2024

Here we discuss and analyse the effects that interaction tools, personalization, predictive analysis in AI SMM have on customer buying behaviour are discussed analyzed. Use of selected advertisements can reach conversion levels between 200% to 300% simply from an extra touch point with a client. Marketing effectiveness may be improved by trend forecasting overall increase 20 percent while analytics ROI marketing.The commonly used technologies like chatbots social listening currently dominating as capable engaging real-time interactions consumer which massively impacting feature their decisions purchase product or not. Nonetheless, benefits such tools is apparent, customers trust security issues regarding data consuming more transparent AI. This study focuses how traditional marketing has been impacted AI/ML/Big Data also provides some caveats including geographical preference sort study. There need for future studies delve deeper into nuts bolts particular features, dynamics decision making over time, well contextual factors responses take place. In nutshell, basis findings, corroborates premise use enhance experience redefine strategies.

Язык: Английский

Do Ethical Issues Influence the Interest of Young People in Using Artificial Intelligence? An Integrated Application of Qualitative Comparative Analysis DOI Creative Commons
Cayetano Medina Molina, Noemí Pérez-Macías,

Sierra Rey-Tienda

и другие.

Sustainable Technology and Entrepreneurship, Год журнала: 2025, Номер unknown, С. 100108 - 100108

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0
“The role of ai-driven social media marketing in shaping consumer purchasing behaviour: An empirical analysis of personalization, predictive analytics, and engagement” DOI Creative Commons

Rajashri Patil,

K Shivashankar,

Shantavva M. Porapur

и другие.

ITM Web of Conferences, Год журнала: 2024, Номер 68, С. 01032 - 01032

Опубликована: Янв. 1, 2024

Here we discuss and analyse the effects that interaction tools, personalization, predictive analysis in AI SMM have on customer buying behaviour are discussed analyzed. Use of selected advertisements can reach conversion levels between 200% to 300% simply from an extra touch point with a client. Marketing effectiveness may be improved by trend forecasting overall increase 20 percent while analytics ROI marketing.The commonly used technologies like chatbots social listening currently dominating as capable engaging real-time interactions consumer which massively impacting feature their decisions purchase product or not. Nonetheless, benefits such tools is apparent, customers trust security issues regarding data consuming more transparent AI. This study focuses how traditional marketing has been impacted AI/ML/Big Data also provides some caveats including geographical preference sort study. There need for future studies delve deeper into nuts bolts particular features, dynamics decision making over time, well contextual factors responses take place. In nutshell, basis findings, corroborates premise use enhance experience redefine strategies.

Язык: Английский

Процитировано

0