How to Use Artificial Intelligence Marketing

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Artificial intelligence marketing employs AI tools to analyze customer data, predict customer behaviors, and increase customer engagement by sending the appropriate message at the appropriate time. Learn how to put AI marketing efforts into action.

 

What Exactly Is AI Marketing?

AI marketing, also known as artificial intelligence marketing, is a type of digital marketing that uses machine learning and real-time data analysis to gain customer insights and better inform, streamline, and optimize digital marketing efforts. Marketing teams use AI to gather information on target audiences and meet customer needs efficiently. AI marketing can assist marketers in implementing marketing tools at key points in the customer journey.

Examples of AI marketing include a pop-up asking customers if they want to add a bookmark after purchasing a book online, or an automated email arriving in a person's inbox at times when they've previously looked at sales offers. Marketing data informs how businesses present themselves to customers in order to convert browsing into purchasing.

 

3 Benefits of Using AI in Marketing

Marketing campaigns can benefit from AI's data-driven algorithms. Some examples of how this marketing technology can benefit businesses include:

1. Clear segmentation: Use AI marketing tools to improve your email marketing and content creation. AI data science assists marketers in categorizing customers based on subject line open rates, purchase history, spending preferences, and other factors. A clear market segmentation can help to inform marketing activities and information for various segments.

2. Improve customer experience: Chatbots are a component of modern marketing that can aid in the improvement of customer relationships. Automation in responses demonstrates attentiveness and the ability to quickly resolve customer issues.

3. Improve ROI: AI constantly updates and learns from CRM database data analytics. Based on these insights, marketers can take their efforts to the next level in order to better target their audience and increase sales revenue and return on investment.

 

4 Types of AI Marketing

AI marketing can take many forms, some of which are as follows:

1. Big data: AI enables marketing teams to make data-driven decisions. Big data refers to large amounts of data arriving at high rates. Companies can more easily attribute values across channels and make decisions based on the variables they choose to analyze thanks to big data.

2. Chatbots: Chatbots are bots that interact with customers while they are shopping on a company's website. Typically, a box at the bottom of the screen populates with automated responses. For complex questions, the bot can direct browsers to a customer service representative.

3. Content recommendations: Similar to how streaming platforms provide viewers with personalized recommendations based on previous viewings, AI technology can advise shoppers or subscribers on what to look at next based on content or SEO (search engine optimization) keywords. Content suggestions encourage people to spend more time on a website and navigate through pages before making a potential purchase, which benefits e-commerce sales.

4. Pop-up ads: Marketing teams can schedule advertisements to appear while customers shop online. These advertisements may include add-on items or information about sales. Display advertising can significantly boost sales.

 

How to Use AI in Marketing

AI initiatives, like any marketing strategy, must be well-thought-out to maximize impact. Consider the following best practices when developing an AI marketing strategy:

Hire data scientists. Big data can be overwhelming. Employ the right people to analyze data so that you can properly wield it, translate it to higher-ups, and make business decisions based on these contexts.

Maintain data accuracy. AI marketing can only be as effective as the data it collects and analyzes. Increase the number of data fields as needed, pay closer attention to specific ones, and act quickly on findings to determine their role in consumer habits.

Name metrics. Understand your objectives and how AI tools can assist you in achieving them. Start small and gradually increase your efforts for the best results.

Maintain high privacy standards. To maintain consumer trust, ensure that your data standards do not cross any legal lines before diving into your AI marketing.

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