AI Marketing has a new tool: The customer experience. Marketers are harnessing the power of artificial intelligence to understand what it is customers want, and then delivering services that make those wants come true. This new paradigm shift in marketing provides marketers with insights that were not available before. Traditional marketing teams have to take an emotional approach to their customers based on previous experiences. They had to think about their clients and “feel” their way into a conversation, which often resulted in miss-tickets or other problems along the way.
With the advent of conversational recognition software like Apple’s Siri, marketers are no longer required to “feel” into a customer’s brain. They can simply analyze large amounts of data and quickly glean relevant content based on their needs. This results in increased business because marketers can deliver personalized services tailored to a client’s individual preferences. Conversational recognition software is changing the way we do business, and businesses moving forward will likely adopt this new way of doing business as well. In fact, many major banks and investment firms are investing heavily in artificial intelligence solutions for customer interaction and analysis.
But even with the advances made by conversational recognition software, there is still an important step to take. If you plan on using an AI platform for your marketing campaigns, there are several things you must do to protect your customer’s data privacy standards. First, your AI platform must comply with strict data privacy standards. You cannot allow your customers’ personal information to be shared with anyone outside of your team without them first having the consent of the customer. Your AIs must be protected from misuse and must also remain encrypted at all times to protect your client’s data.
Another important factor is your advertising campaigns must mirror your brand’s reputation. If consumers start believing your brand is less than it could be, they will stop buying your products. This is why you must work closely with your marketing teams to carefully craft your campaigns. Avoiding the “spam” filter is an extremely important feature of these campaigns.
Content creation is perhaps the most important facet of any good A AI Marketing system. Proper content analysis is critical to the success of any advertising campaign. The analysis of data shows you which content features appeal more to your consumers and which ones don’t. You can then customize your content generation efforts accordingly. For example, if you notice that one segment of your consumers aren’t responding well to a particular product or service, you may want to change the content to focus more on that demographic.
Data analysis is necessary because it allows you to make decisions on which campaigns should focus on which types of consumer segments and which ones should be terminated. However, sometimes too much data analysis can make decisions seem like they’re simply decisions. Instead of focusing on individual customer segments, you could focus on groups instead. You can ask your AIs to focus on age, gender, educational attainment, income level, and location to identify the group with the highest probability of buying your product or service. Because you’ll be able to identify statistically significant data, you can make better-quality decisions.
Another important part of the process involves the use cases or stories that you will tell your AIs. These are the stories that will demonstrate the benefits of your product or service to the target customer. Customers respond to stories about people, places, or things that they wish to have. The more you tell an AI your stories, the more likely your marketing efforts will be successful. This is because you’ll be able to quantify customer satisfaction or complaints in a way that no other method can.
While many companies have used AI Marketing for years, implementing the proper methods is not something most marketing professionals know how to do themselves. Hiring outside experts with experience in implementing AIs can make the whole process much smoother. It can also help to reduce risk, because your team members will be trained on how to use the machine and algorithms to their advantage. Overall, the right tools and techniques for using artificial intelligence and machine learning can do a lot for your company.
