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How AI competencies can make B2B marketing smarter: strategies to boost customer lifetime value.
Front Artif Intell
December 2024
College of Economics and Management, Beijing University of Technology, Beijing, China.
There has been a rapid rise in utilization of artificial intelligence (AI) in many different sectors in the last several years. However, business-to-business (B2B) marketing is one of the more notable examples. The initial assessments emphasize the significant advantages of AI in B2B marketing, including its knack for yielding unique understandings into consumer behaviors, recognizing crucial market trends, and improving operational efficiency.
View Article and Find Full Text PDFProtecting historically marginalized groups or targeted marketing? A computational analysis of individuals engaging with public and protected cigar-branded tweets.
Drug Alcohol Depend
January 2025
College of Communication, Boston University, Boston, MA, USA.
Introduction: Swisher Sweets, a leading brand of little cigars and cigarillos in the United States, switched its Twitter account to protected status, limiting access to its tweets. This study examines how the protected status of Swisher Sweets tweets influences post engagement, aiming to inform regulatory strategies for branded tobacco promotions on social media.
Method: Using natural language processing, we predicted the demographics of individuals replying to Swisher Sweets' public and protected tweets.
The authors reply.
Crit Care Med
December 2024
Department of International Business, Soochow University, Taipei, Taiwan, Republic of China.
Reply to the Comment on "A Comprehensive Analysis of ChatGPT's Accuracy and Completeness in Addressing Urinary Incontinence".
Neurourol Urodyn
December 2024
Department of Physiotherapy, LUNEX University, International University of Health, Exercise & Sports S.A., Differdange, Luxembourg.
A social media competitive intelligence framework for brand topic identification and customer engagement prediction.
PLoS One
November 2024
Department of Marketing & Strategy, Rabat Business School, International University of Rabat, Rabat-Salé, Morocco.
Purpose: The COVID-19 pandemic has changed customer social media engagement behavior, which challenges the establishment of effective marketing strategies to strengthen digital communication with customers and leads to new opportunities for social media competitive intelligence analytics. This study presents a new social media competitive intelligence framework that incorporates not only the detection of brand topics before and during the COVID-19 pandemic but also the prediction of customer engagement.
Design/methodology/approach: A sector-based empirical study is conducted to illustrate the implementation of the proposed framework.
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