Of all the described advantages of AI, the capability to elevate analytics to another level – one which will help the company understand the customers – is probably the most important one. Conventional analysis may provide simple information like hits per page, or click-through rates, which AI takes a step further in terms of analysis. Here’s how:

1. Personalization at Scale

Examples: AI tools can help define customers’ major behavioral, preference, and interaction patterns to build a suitable portrait. This makes it possible for the marketers to offer better and targeted experiences to every customer, thus better chances of converting the individuals. For example, using the data collected from a particular customer as to what websites they visit and the items they buy, then AI can suggest to the customer other items that they might be interested in; this will improve the shopping experience.

2.Predictive Analytics

Another way in which machine learning helps is that based on the data collected previously predictive analytics is possible. This helps the marketers to have early views on trends and be able to take preventive action. For instance, if the data shows that certain group of customers are likely to defected, the marketers will be in a position to adopt measures which will ensure that those clients are retained.

3. Sentiment Analysis

There are machine learning technologies that can determine the actual public mood and perception of a brand or goods on social networks and other platforms. It aids the marketers in knowing how the customers are perceiving the campaign messages and make corrections when required for the general perception of the brand.