Natural language processing, or NLP, is a type of artificial intelligence that allows computers to understand and generate human language. By applying NLP to customer data, businesses can gain valuable insights into how customers feel about their products and services, and use this information to improve the performance of their marketing campaigns.

One of the key applications of NLP in predictive analytics is the analysis of customer feedback and reviews. By applying NLP to this data, businesses can understand how customers feel about their products and services, and identify common themes and sentiments in their feedback. For example, if a large number of customers are mentioning a particular feature of a product, NLP can help a business understand the importance of that feature to their customers and make informed decisions about product development and marketing strategies.

In addition to analyzing customer data, NLP can also be applied to marketing campaign data to understand which campaigns are most effective and which are not. By analyzing the messaging and content of a marketing campaign, businesses can identify the elements that are resonating with customers and optimize their campaigns for better performance. For example, if a business notices that certain words or phrases are consistently associated with high levels of engagement in their marketing campaigns, they can incorporate more of these words and phrases into their future campaigns to drive even better results.

Want to learn more about NLP? Then do one of the following, right now:

1. Click here to register to view Squark’s ongoing webinar series about NLP.
2. Click here to talk with an expert to learn how Squark delivers NLP quickly using the data you already have.