The impact of AI-driven personalization on social media marketing effectiveness among online sellers

Abstract

The completely redesigned social media marketing created by AI has enabled the online vendors to adjust their posts, advertisement and communication plans in real time assimilating on the information about the customers and purchasing pattern. The essay is dedicated to the importance of AI-based personalization in the productivity of online sellers on social media. We interviewed 345 individuals, tabulated how individually the marketing was personalized, conducted some statistics, a t-test of the high-AI versus the low-AI users and regressed to see whether any predictors of the performance related to the AI personalization. The statistics show that the overwhelming majority of the sellers in AI personalization are rated quite high, as well as the success of their marketing. As results of the t -test indicate, individuals who get more personal with their AI demonstrate statistically significant better marketing outcomes compared to those who do not. Moreover, this observation can be justified by means of regression: the performance is described by about 26.2 percent of AI personalization. All these results justify the usefulness of AI tools to reach the target audience, sustain interest towards customers, and enhance the final outcomes. Such observations may assist sellers to leverage on AI personalization as a competitive advantage in the digital market that is rapidly emerging.

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