Artificial intelligence also facilitates large-scale personalization. Tools such as automatic recommendations on streaming platforms or e-commerce are clear examples. These recommendations are generated by analyzing user behavior patterns and preferences.
For example, a streaming service can suggest movies or series based on each user’s viewing history, improving their experience and encouraging loyalty. In email marketing, artificial intelligence algorithms can personalize subject lines and content based on each recipient’s taiwan phone number library interests, increasing open and conversion rates.
Influencer marketing with artificial intelligence
Artificial intelligence is also transforming influencer marketing. AI-powered platforms can analyze performance, audience, and authenticity metrics to identify the most suitable influencers for a brand.
For example, a cosmetics company can use artificial intelligence to find micro-influencers with a relevant audience aligned with the brand’s values, ensuring greater effectiveness in campaigns.
Dynamic pricing optimization
AI tools can analyze factors such as demand, competition, and consumer behavior in real time to dynamically adjust prices. This ensures that prices are competitive and maximize revenue.
A practical example is the airline sector, where ticket prices are constantly changing based on availability and user interest. This approach is also applied in e-commerce, where prices can be tailored to specific events such as promotions or peak demand seasons.
Automatic content generation
Using natural language processing (NLP), AI can generate content such as product descriptions, social media posts, and even entire articles. This helps businesses produce high-quality content in less time.
For example, an online store can use AI to generate unique descriptions for thousands of products in practicing questions and answers its catalog, improving its SEO and attracting more traffic. Additionally, copywriters can use AI-powered tools to optimize texts with relevant keywords and improve visibility in search engines.
Sentiment analysis
Sentiment analysis is another relevant application of artificial intelligence in marketing. This technology allows brands to understand how customers perceive their products or services through the analysis of comments on social networks, reviews and surveys.
For example, a brand can quickly identify whether a new advertising campaign is generating positive or business to consumer reviews negative opinions and adjust its strategy based on the results. This allows for a more agile and effective response to customer needs and emotions.
