How AI Helps You Build A Data-Driven Marketing Strategy
This article is an informative and precise description of how AI applications help the marketing sector to make deliberate choices based on the collected and analyzed data. In addition to a thorough explanation of how AI can be handy in this field, you'll find the main examples of how AI helps to solve marketing problems.
AI technology is a comprehensive term that encompasses a wide range of technologies such as natural language processing, ML, deep learning, computer vision, and many others. AI has been revolutionizing many sectors, and its applications and innovative solutions are no less even in the marketing field. The ability to analyze data effectively is what makes AI superior to anything else. But before we get to AI-based systems, let's talk about what marketing strategy is and what makes it data-driven.
What's a marketing strategy?
In today's competitive world, we know that marketing is beyond promoting, advertising, and selling products or services. It's more about understanding your customers, their goals, needs, and preferences. A marketing strategy is a plan for the company to achieve its promotional objectives. The planning includes outlining the target audience and outreach channels for a certain period. Following an effective marketing strategy helps the companies to see the end results and walk directly toward them.
What makes it data-driven?
We already know what marketing strategy is. Data-driven marketing depends on the customers' data and information that help build a more sophisticated marketing strategy later on. With accurate data, marketers can better reach out to their target audience and meet their expectations. Here is when AI comes into play, helping companies to analyze massive amounts of data and offer real-world predictions about customers' future behavior.
Impact of AI on marketing
Applications of AI in marketing help companies smooth out all the stages of the marketing funnel. AI can be great at effectively targeting new customers and further converting them into loyal customers. The technological advances will help marketers to build a strong bond between the company and the clients, offering improved customer experience and meeting their needs and expectations.
Applications of AI in Marketing
Easier data analysis
It will definitely be time-consuming and complex to extract information from unending marketing data. Here is when AI comes into play, helping marketers not only process and analyze data quickly and effectively but also to make well-informed decisions based on them. For example, AI can help in collecting customers' insights, predicting their next moves, and determining the likelihood that the customer will make a purchase. This is possible through supervised learning, which makes predictions based on precise data and the customers' behavioral patterns. AI can offer appropriate content and interaction to ensure that customers receive enough help to make purchases.
AI-powered marketing automation tools are revolutionizing the marketing sector. A great example would be an AI-based system that automatically sends personalized emails with product recommendations. The key distinction with traditional email senders is not sharing the same emails with everyone, forming social spam, but rather analyzing the customers' behavioral patterns and presenting them with what they truly want and need. AI models will consider the customers' locations, demographics, personal data, and former experience to guarantee emails stay relevant and appropriate to the subscribers. What's more, the dates and times of the day, headlines and topics will also be predetermined to ensure customers are attracted to open and read the emails.
Chatbots are also a great example of marketing automation. Chatbots are great at providing intelligent and suitable customer service because they are available 24/7, and they can understand customers' queries suggesting prompt solutions to their problems as human support representatives would. Chatbots and other AI-enabled support services can collect customer information and scan data about their orders, delivery time, and other inquiries.
Targeting and advertisement
It's no news that people only like advertisements that are relevant to them. Instead of showing the same ad to a wide audience, AI-based models will analyze the audience's data and show only personalized ad content to the target audience. This way, companies can ensure that their advertisement efforts are well-targeted and reach the consumer who is most likely to respond positively and opt for the desired call to action. This saves a lot of money for the companies while also increasing their productivity and efficiency. Besides, AI will constantly gather data about the personal behavioral patterns of each customer, which can be used for future optimizations and relevant ad content creation.
Simplified content creation
Engaging and eye-popping content created by AI is becoming more and more popular among customers. Marketers have a chance to save time on content creation and spend more time on editing, pairing images with proper messages, etc.
AI-generated content is becoming more sophisticated over time, and it is one of the greatest ways to create professional content. Content is king, and the visual representation of the product, company, or any service is the premise for success.
Applications of AI in marketing are becoming more and more popular for companies to create data-driven marketing strategies. Given detailed and data-based planning, a marketing strategy becomes the most important factor for making a higher profit. Since companies need to have a deep understanding of their customer's needs and preferences, AI-based systems can help to gather and analyze data from the customers' behavioral patterns. It can help them at every stage of their customer journey. For example, during the consideration stage, AI will show customers personalized ad content to help them make choices more quickly. Then, AI can also be handy in email campaigns since it can present individual offers and deliver personalized messages. Chatbots are another example of how companies will stay in contact with their customers all day long, which will further improve the customer experience and satisfaction.