5 Ways to Use AI for Marketing Strategies

AI is transforming the way businesses approach their tasks. AI-powered tools are now dominating the market, allowing businesses to improve their marketing practices, customer experience, and to make better and to-the-point decisions. AI, with its different forms of assistance, enables marketers to better understand their customers’ needs and optimize their marketing efforts for the utmost results. AI can be helpful in an array of tasks, such as marketing campaigns and targeting, customer communication, and content personalization.

In this article, we will explore the ways you can use AI for marketing, and also as a bonus, learn about the best AI tools for implementing your marketing strategies.

1. Personalization Engines

An animation of personalization engines using AI tools

The most important piece of a marketing strategy is the target customer. You might have the best product or service in the market, but you will still fail if you cannot find the customer that needs your product. Identifying your customer is not enough: you will also need to reach them with tailored messages, product and service recommendations to their specific needs. And here is how you can use AI for marketing starting with personalization engines – the key to improved target audience and customer experience. 

Personalization engines are AI-based tools that collect customer data to deliver personalized customer experiences. These engines leverage the data about purchase history and search queries to analyze customer behavior and preferences and make relevant product and service recommendations to them. Using the information provided by personalized engines, marketers can segment their customers. This way, they can spare a lot of time to concentrate on their strategies and leave the rest on AI tools. And if you’re looking to revolutionize your marketing strategy by using AI tools, for example, you can consider exploring the capabilities of tools like Decktopus to stay ahead in today’s competitive landscape.

Incorporating a video translator, businesses can further enhance their personalized customer experiences by offering content in the customer’s native language, creating an even more tailored and accessible service. This seamless integration with AI-driven personalization engines not only respects linguistic preferences but also bridges cultural gaps, making every interaction more engaging and effective.

Another aspect that personalization engines might be useful is pricing strategy. If you want to survive in the given market, you need to have flexible pricing to adjust the market environment faster and better. Those AI tools can analyze the demand, customers’ purchase history, and searches, and make suggestions on the most suitable prices for the given period.

3 AI Personalization Engine Tools

  1. Personyze is an AI-powered personalization engine that uses machine learning algorithms to analyze customers’ past experience and history. It also offers A/B testing for better engagement and conversion rates. 
  2. Qubit is a marketing platform that enables businesses A/B testing and customer segmentation options to improve customer experience and ROI. 

Apptus helps businesses to optimize their pricing and customer engagement rates by analyzing customers’ behavior, their search queries, and past purchases.

Furthermore, platforms such as Fox LMS, which is a learning platform for education, use these improvements to make learning easier and smoother, giving users personalized educational experiences.

2. Virtual Assistants and Chatbots

Virtual assistants and chatbots as ways to use AI for marketing

Identifying and reaching your target audience is not enough. You should be ready to detect the issues your customers are going through and assist them in whatever they might find trouble. Here is another way you can use AI for marketing development. While human interaction is irreplaceable, AI tools have been significantly progressed by using natural language processing (NLP) and can simulate human conversation. These AI virtual assistants and chatbots can be the right solution for small businesses with limited budgets to hire people for this role, and can still provide full assistance. 

AI virtual assistants and chatbots can be embedded with various messaging channels, such as websites, social media, and messaging apps and provide personalized customer service and support. They can significantly improve customer experience by giving quick and accurate responses to customer inquiries and reducing wait times. 

Additionally, these AI virtual assistants and chatbots might be the best solution for international businesses since they work 24/7. This way businesses can make sure their customers get the assistance they need from every corner of the world.

3 AI Virtual Assistant and Chatbot Tools

  1. Dialogflow is Google’s natural language processing tool that allows businesses to build AI-powered conversational assistants and chatbots. 
  2. IBM Watson Assistant is an AI-powered chatbot builder that can be integrated in multiple channels, including websites and messaging apps. 

ManyChat is a chatbot platform that allows businesses to apply conversational assistants on Facebook Messenger. It has a drag-and-drop interface and pre-build templates that enable users to create chatbots with no technical knowledge.

3. Predictive Analytics

Predictive analytics as part of AI for marketing

As the word “predictive” implies, predictive analytics is the set of actions aimed at exploring future marketing trends, customer behavior, and campaign outcomes with the use of current data and results. Predictive analytics is an important aspect of marketing, so AI has contributed to this part as well by introducing a number of tools for nearly precise prediction and better outcomes. 

Marketers can take advantage of AI tools and analyze a larger number of customer segments than while doing manually. With better and narrowed segmentation, businesses will be able to find patterns for future customer behavior. 

Machine learning algorithms can also bring new customers! Besides customer segmentation, businesses need to create identification modes based on the current data. For instance, you can use Facebook algorithms to bring new customers based on your best customers’ profiles and contacts. 

3 AI Predictive Analytics Tools

  1. H2O Driverless AI is a newbie in predictive analytics, but managed to get pretty good feedback with its open source offering. With its AI-powered tools and features, H2O simplified predictive analytics for both experts and amateurs. 
  2. Microsoft Azure Machine Learning is one of the leaders in analytics and the first choice of many brands. With its robust set of features, businesses get complete predictive analytics results.

RapidMiner Studio has a comprehensive set of tools to get accurate predictions. It offers both free and pro versions of its core features, and enables anyone to explore them.

4. Sentiment Analysis

negative, neutral, and positive results of customers' sentiment analysis

To evolve the brand and marketing strategies, marketers always pay attention to customers’ preferences because they are the ones to form the demand. To do so more efficiently and quickly, marketers conduct sentiment analysis – another solution of AI for marketing. Sentiment analysis is the process of using natural language processing (NLP) machines to detect the tone or attitude behind the text. This kind of analysis can be used for reviews, social media posts, comments and mentions, customer feedback forms, testimonials, etc.

Many marketers leverage sentiment analysis results to better understand how customers feel about their brand, the products and services. This way they get more insight on their work, and also make data-driven decisions to improve their marketing strategies. 

Sentiment analysis is not only beneficial for a short run, but also for a long-term run. Marketers can use the data of sentiment analysis before and after running their marketing campaigns. This way, they can track customer behavior over time and better understand how effective the campaigns have been.   

3 AI Sentiment Analysis Tools

  1. MonkeyLearn is one of the best sentiment analysis software with exceptional accuracy. Due to its drag-and-drop interface it is super easy to build a sentiment analysis model with no coding knowledge. 
  2. Lexalytics Semantria API is another cloud-based sentiment analysis tool which requires a data science background. You can get both text analysis and data visualizations with Lexalytics. However, you need to be tech-savvy to be able to understand and apply them.

Brandwatch enables marketers to understand their customers better by providing them highly-accurate and precise sentiment analysis. One of the unique features that Brandwatch enables is image insights. So, it goes beyond text messages, and lets you know where and why your logo is shared across social platforms.

5. Image and Video Recognition

Image and video recognition as part of AI fro marketing tools

Another advantage that AI brings to the marketing table is the image and video recognition software, which can be used in a number of ways. First, businesses leverage image and video recognition to run targeted ads and campaigns more effectively. With the help of AI, the manual research is now replaced by image and video recognition that analyzes visual content the target audience engages with, and gives businesses new insights into creating more personalized and targeted campaigns. With the analysis provided, businesses can also create particular audience segments and tailor the advertising campaigns based on their needs, interests, and preferences. And to-the-point campaigns will, in their turn, increase engagement and conversion rates. 

While sentiment analysis is important in marketing, businesses can no longer rely on text messages only to reveal customers’ experiences. Here’s another way to use AI for marketing purposes. By leveraging visual monitoring, brands can find customers’ references who used imagery, and enrich their feedback database to improve their products and services. 

Image and video recognition can also help make more accurate product recommendations. It can detect objects in imagery and videos, track customer activity, and enable businesses to make more precise product recommendations to their customers based on their specific needs and interests.

Also, an image finder can help businesses discover such images easily across various search platforms and databases. Relying on a single platform or database may make you miss out on various valuable customer references. On the other hand, relying on such an advanced image-finding tool will easily help you discover all key visual results without spending much time and effort.

3 AI Image and Video Recognition Tools

  1. Google image search is one of the quickest image recognition platforms. It uses advanced algorithms to analyze image content: it can identify objects, faces, colors, and more.
  2. Brandwatch Image Insights is a must-have marketing tool to detect and analyze images shared on social media. It can track the brand logo and products and give businesses insights on their content and campaigns performance. 

Clarifai is an AI platform with image and video recognition features. It automates the process of visual analysis with its AI-powered tools and features of analyzing visual content.

Final Thoughts

However developed new technologies might be, it is still up to you to use them wisely and thoughtfully as they are not autonomous. Although there is a lot of debate whether AI can ever replace experts or not, the tools it has to offer can definitely complete some of the time-consuming tasks, and save you time to better concentrate on more important strategies. Now that you know five of the most important aspects that AI-powered tools can help you achieve, or at least make your work easier, you can go on and use AI for marketing practices and boost your brand’s functioning. Also keep in mind that integrating AI development services into your marketing strategy can revolutionize customer engagement, optimize content personalization, and boost ROI, making it a game-changer for businesses seeking to stay ahead in the competitive landscape.

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