AI can significantly impact customer analytics and subsequently the marketing strategies of businesses in the following ways:

1. Predictive Analytics: AI can help predict customer behavior by analyzing historical data and identifying patterns. These insights can help marketers design campaigns tailored to customers' predicted behaviors.
2. Segmentation: AI can quickly analyze large amounts of customer data to identify distinct segments based on various criteria. Marketers can then create personalized campaigns targeting these specific segments.
3. Customer Churn Analysis: AI can identify patterns that indicate a customer is likely to stop doing business with a company. With this information, marketers can strategize to re-engage these customers and prevent churn.
4. Sentiment Analysis: By analyzing online reviews and social media posts, AI can gauge customer sentiment towards a brand, product, or service. These insights can inform reputation management strategies.
5. Real-Time Analytics: AI can analyze data in real-time, providing marketers with up-to-the-minute insights. This can enable quick adjustments to marketing strategies based on current trends or events.
6. Content Optimization: AI can analyze which types of content perform best among certain customer segments or at specific times, allowing marketers to optimize their content strategy.
7. Customer Journey Mapping: AI can analyze customer touchpoints to create detailed customer journey maps, identifying potential areas for improvement or opportunities for targeted marketing efforts.
8. Personalization: AI can analyze individual customer preferences and behavior to deliver personalized experiences, such as personalized product recommendations or targeted messaging, enhancing customer engagement and conversion.
9. Chatbots and Virtual Assistants: These AI tools can collect data from interactions with customers, providing insights into common questions, concerns, or areas of interest. This can inform customer service improvement and content creation efforts.
10. Ad Optimization: AI can test different versions of ads to identify which perform best, allowing marketers to optimize ad spend and improve return on investment.

By using AI to improve customer analytics, companies can gain a deeper understanding of their customers and make data-driven decisions that improve marketing effectiveness. However, it's important to ensure that the use of AI in customer analytics complies with data privacy laws and respects customer privacy.