Revolutionizing the customer approach with Artificial Intelligence marketing

One of the most difficult tasks for marketers is a personalized customer approach and that’s exactly where AI can help.

In marketing projects, customers or prospects are typically segmented into groups, such as gender or geographic region, and based on these segments, automation links are created. However, a truly personalized approach isn’t possible that way; only recommendations, offers, or purchase proposals based on a cluster.

Not only does this practice have high waste coverage, it also regularly upsets customers when, e.g., they are getting offers for things they have bought long since. Even though the necessary information for a truly personalized, individual customer approach is already available.

The problem is the lack of resources and tools for harnessing this data

The database is simply too complex to make a manual setup of personalized automation routes possible. Not to mention that the use of AI technologies can create completely new possibilities here.

Instead of manually segmenting by specific groups of buyers, creating the content with the appropriate fixed incentives, and then monitoring and controlling the effectiveness of the campaign, the marketer can focus on basic strategic decisions: Should the campaign generate rapid revenue or rather rely on sustainable customer loyalty? How should the topic of incentive recommendation be handled? Are these used aggressively or rather moderately? Etc.

The rest is taken care of by AI which decides strategically on patterns and individual customer data about the time, the channel, the content and the type of incentive.

Who to talk to about what

For this, the AI algorithm uses existing data of the customer account. Ideally, a customer has already made orders in the past and can be identified based on the buying history so far. If this is not the case, the AI can also predict possible behavior, using e.g. information...