As the years pass by, technology becomes more and more advanced. AI technology is one of these technological advancements, and it already plays a big role in our daily lives. For example, when you are running a search query on Google or if you ask Siri for something, you are already experiencing AI Marketing.
Now, you probably are asking yourself what AI marketing is? This post gives you a detailed explanation of AI marketing, its benefits, and how it is already used in the market.
What is AI Marketing?
Artificial intelligence marketing (AI Marketing) is a method of leveraging customer data and AI concepts like machine learning to anticipate your customer’s next move and improve the customer journey.
Customer Journey With The Use Of Artificial Intelligence
A customer journey is a path a customer takes from the awareness stage all the way to the loyalty stage. Let’s look at the structure of the customer journey step-by-step.
First, a demand arises with purchasing intent. In this stage, you can reach your customers using the following AI techniques: Smart content creation, Voice Search, and AI-generated content.
Smart content creation follows the same concept as retargeting. The goal is to show your customers content that will be relevant for them. For example, recommendations that you get from YouTube on the home tab are based on your past view history.
Voice search is a type of AI technology. Customers are using search engines like Google more and more with voice search. Brands that can adapt to this technology can result in an increase in their organic traffic.
AI-generated content is helpful to use when you are based in a relevant sector. These sectors are ranked further down the blog, but one of them is the financial services sector. AI-generated content is highly applicable for financial reports and monthly earnings.
The second step in the customer’s journey is the first purchase. To reach the first purchase, you have to start taking an active involvement and target customers. This can be done through the three following AI marketing steps:
- Advertisement targeting: Machine learning algorithms can scan historical data and identify which ads are the most effective on which customers.
- A customer predictive analysis: This analysis calculates the prediction that a customer will convert at a specific price range.
- Lead scoring: AI, with the help of machine learning, can identify how important a lead is for your company. It is based on a set of criteria. This step can save you and your company time in performing multiple sales at the same time.
Subsequently, this will lead to either re-purchase or indeterminate customers, the next steps in the customer’s journey. In this stage, it is important to convert them to loyal customers. Techniques that are useful in this stage are retargeting, customer personalization, and chatbots.
Retargeting: retargeting through AI marketing means that the AI machine learning is checking which previous ads were successful for which customer. These ads will be distributed again to win back past customers.
Personalization: it is key to identify in which stage the customer is to achieve customer personalization. A new customer visiting your website will need to see content and images that keep them interested. On the other hand, someone who has visited multiple times is probably more interested in the benefits of your products.
Chatbots: you have probably come across chatbots already. The small pop-ups you receive on a website with a question if you need help. If you start interacting and get a response back, it is generated by AI and not by a human in most cases. And the best part is that it is not hard at all to make your own chatbot no matter the size and budget of your company.
Last in the customer’s journey is the engage stage. Marketing automation and Dynamic email content are two AI marketing techniques that you can use.
When using marketing automation, there are fixed requirements that will activate the interaction with a customer. These requirements are identified through machine learning and then selected by marketers. One of those requirements can be, for example, the time that is best to contact customers.
Overall, AI machine learning can target customers based on the type of product they bought previously in terms of, for example, size, color, and category.
Based on customer data, companies can send dynamic emails to customers. Those emails are dynamic as the content changes depending on previously defined factors.
For example, a standardized and automated email can include the customer’s name, as well as the products they have purchased in the past. Dynamic email marketing is more personalized towards the customers and, thus, can lead to more repurchases.
Core Elements Of AI Marketing
There are three core elements based on AI marketing:
Machine Learning: keeps learning to identify trends or common occurrences to predict common responses effectively. This helps to understand the root cause and likelihood of certain customer behavior.
Big Data: aggregates and segments large sets of data with minimal manual work by marketers. Data can be used to ensure that the right message gets delivered to the right person at the right time.
Powerful Solution: identifies insightful concepts and themes across huge data sets in a short time with technology that can interpret human communication. Enables platforms to understand open form content.
