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Use of Artificial Intelligence and Machine Learning



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Use of Artificial Intelligence and Machine Learning. 
Artificial intelligence (AI) and machine learning (ML) have 
transformed various industries, including retail. AI and ML have the 
potential to enhance the effectiveness of retail advertising by 
providing personalized and targeted advertisements to consumers. 
Future studies can investigate the use of AI and ML in retail 
advertising and their impact on consumer behavior. 
The Impact of Social Media on Retail Advertising. 
Social 
media has become an essential tool for retailers to connect with 
consumers and promote their products. Future studies can 
investigate the impact of social media on retail advertising
including the effectiveness of different social media platforms, the 
role of user-generated content, and the impact of influencer 
marketing. 
Personalization in Advertising. 
Personalization in 
advertising involves tailoring advertisements to individual 
consumers based on their interests and preferences. 
Personalization can enhance the effectiveness of retail advertising 
by providing relevant and targeted advertisements to consumers. 
Future studies can investigate the impact of personalization on 
consumer behavior, including the effectiveness of different 
personalization techniques and the impact of privacy concerns on 
personalization. 
Cross-Channel Advertising Integration. 
Cross-channel 
advertising integration involves coordinating advertisements 
across multiple channels, such as television, social media, and in-
store displays. Cross-channel advertising integration can enhance 
the effectiveness of retail advertising by providing consistent and 
coherent messaging to consumers. Future studies can investigate 
the impact of cross-channel advertising integration on consumer 
behavior, including the effectiveness of different integration 
techniques and the impact of channel preferences on integration. 

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