In recent years, the number of AI marketing tools for business has increased. Ever since the word “big data” appeared, the amount of data being generated has increased dramatically. Marketers have to work even faster and be more responsive in real-time, but at the same time, they are approaching areas that cannot be done by humans. That’s why AI-based tools in marketing are making inroads.
Here are the top 10 marketing tools that marketers take advantage of today.
Analyze Data
You can automate reports and analyses. In personalized marketing, you need to think of measures that are right for each customer. Therefore, you can’t do without data analysis. However, it takes a lot of work and effort, and the lack of human resources becomes an issue.
If you use AI, you can analyze data automatically to solve the labor shortage. The more data you store, the more accurate your analysis will be.
Attracting More Customers With the Right Data
The results of the analysis are presented as specific numerical values and outputs, and prospective measures need to be considered based on that. AI can now take over this stage of measure expertise.
Thus, you can refer to the results of the analysis and past measures and propose measures to attract customers. It`s an effective force for a marketing department that can’t handle this scenario alone.
Machine Learning to Improve AI Marketing
AI can automatically learn and improve the accuracy of the analysis. It measures the effect of a proposed scenario and automatically learns from it. As you gain experience, you can develop more accurate scenarios.
Coupons, subscriptions, or free trials – what is the most effective solution for the potential customer? By collecting the results of data, AI can use it to predict possible measures and define the best strategy. The hypothesis and validation cycle will be left to the AI, greatly improving the efficiency of operations.
Image Data
AI used to use numerical values and text, but now that images can be analyzed, decisions can now be made that are closer to the human eye. For example, you can analyze product images to understand what design trends customers prefer.
Evaluating Customers
Evaluate potential customers using AI. Marketers can analyze customer behavior based on your website visit history and email opening status, and evaluate potential customers.
Improving the Site
Analyzing website access data is one of the key tasks in web marketing.
People can also analyze and collect access data, but it takes a long time to aggregate a large amount of data and collect it in a pattern.
An artificial intelligence system designed to analyze Web sites can analyze access data in a variety of patterns and automatically make recommendations for site improvement policies.
Ad Copy
From now on, AI software development made inroads in copywriting. Enter your choice of what and how to convey, and based on historical analysis data, it will suggest a copy that works best against the unconscious consumer. In addition, a feature has been developed to personalize and display the keyword phrase to the user’s liking.
Web Design
In addition to advertising text, AI is expanding into the world of web design. One example is AI, which automatically creates a Web site by selecting a template and answering some questions, such as the purpose of the Web site. It used to be thought that creating a website requires design and programming knowledge, but now anyone can easily create a website with the help of AI that drives traffic.
Sales Forecasting
Price reduction campaigns in retail stores are often determined by the past experience of the person in charge, which can lead to shortages. Consequently, it is necessary to have a base of past data to ensure sales. This is where artificial intelligence sales forecasts come into play. Because forecasts are based on historical data, sales forecasts can be made with high accuracy compared to experience. If you know your sales forecast with AI, you can reduce the time to order work, create excess and shortages, and prevent losses.
Pricing
With the help of AI, dynamic pricing can be applied not only in transportation and hotels but also in other industries. Dynamic pricing is a method of raising or lowering the prices of goods and services under different conditions without fixing the price. By analyzing a large amount of data using AI, we can get a reasonable price in real-time.
Conclusion
The potential of artificial intelligence technology is great, and in recent years, in addition to functions such as analyzing data and predicting the future, artificial intelligence has also emerged to create messages tailored to customers. When we hear about AI, we tend to think we need a good engineer, but with AI development tools like these, anyone can easily incorporate AI into their work.
Author’s BIO: Louis Sawyer is a professional writer, editor and a web design expert. She loves writing about technology trends, web development, mobile games and business issues. Also, Louis works as a proofreader at Computools. Follow Louis on Twitter
