How to use AI for marketing to build stronger customer relationships?

Knowing how to use AI for marketing is a must if you want your company to stay competitive in today’s evolving marketplace. Although many companies may view the topic of Artificial Intelligence (AI) as daunting, it is an area that marketers should familiarize themselves with.

Whether you’re responsible for marketing or customer service within your organization, it’s important to understand how AI will affect the communications between brands and their consumers. The integration of artificial intelligence into messaging platforms holds tremendous value for both organizations and consumers alike because it plays a role in understanding consumer behavior, delivering highly personalized content, and making interactions more efficient.

As more people get accustomed to having conversations with chatbots, digital assistants, and virtual agents over live phone calls or email chains, businesses that want to keep their customers’ long-term loyalty need to invest in the technology that is already available.

There are two areas marketers can focus on when it comes to integrating AI into their marketing strategy. The first is identifying insights about consumer behavior and preferences, which enables you to send them more personalized content. The second area is finding ways to simplify customer interactions with your company by using the technology in messaging platforms like Facebook Messenger or chatbots.

Understanding consumer behavior and preferences

Personalized content delivered at just the right time has become an expectation for many consumers in certain situations – especially when they’re engaging with a brand for the first time or trying out new products. Marketers that understand how AI can be used for marketing can customize information based on a customer’s previous interactions with the company.

The more information marketers have about their clients, the better they can cater to them. One way organizations can gain insight into consumer preferences is by using natural language processing to engage in two-way dialogues with prospects and customers via chatbots. The bots, powered by AI algorithms, learn from conversations and improve over time as a result of the data they collect.

Letting a bot engage with your audience allows marketers to build stronger relationships because it provides real-time information about what people want and need at various points during an interaction. This also helps you avoid siloing analytics within specific departments within your organization since it offers visibility into what is said across all team members so everyone is on the same page.

Customer service

Another, more efficient way of using AI for Marketing services is by engaging with customers through messaging platforms like Facebook Messenger. The technology allows marketers to improve customer engagements because it uses machine learning to recognize different languages and provide consumers with accurate information during any stage of the customer journey. This can help you reduce wait times on support calls or email chains, which ultimately leads to higher levels of consumer satisfaction.

Although chatbots are still evolving as a technology, there are many benefits brands can look forward to when it comes to automating conversations about basic questions and inquiries. Brands that want consumers to have highly personalized conversations need AI-powered bots that continuously learn how language is used in real life so they can offer better responses over time.

Companies like Uber and Pizza Hut, for example, are already using messaging platforms to make it easier for people to order food or request rides with the touch of a button. Using AI technology, these companies can understand what people are saying within their messages – including slang terms or common typos – and they can accomplish tasks faster than most human workers could on their own.

However, chatbots aren’t able to process everything that is said in conversations yet. Marketers should try to focus on keywords when writing scripts for bots so they only respond when prompted about specific information. That way, brands won’t overwhelm customers by trying to keep up with every single question they ask through messages.

5 Examples of AI for Marketing

1. Using AI to Find New Customers

AI can also help marketers find new customers by identifying who is interested in their products and services without having to specifically ask for an email address or phone number. This feature works by evaluating shopping behaviors, including which websites a person visits and the types of items they tend to purchase online.

2. Using AI to Analyze Data

After mining data from multiple sources, such as web and mobile app activity and social media posts, organizations can use machine learning algorithms that detect patterns across vast amounts of information found on the internet about what people like, don’t like and wish existed instead. Marketers then receive valuable insights into what makes a particular product or service desirable based on what is said online – both overtly through social media posts and implicitly by analyzing what people are searching for online.

3. Using AI to Personalize Emails

AI can also help marketers connect with consumers at the right time by sending personalized emails based on information the recipient provides in the subject line or body of their messages. For example, marketers can send follow-up emails containing links to relevant products based on a person’s shopping history, which is determined using data collected about their browsing behavior across multiple devices. Marketers can also use predictive analytics to determine who should receive promotional communications – such as coupons and discounts – potentially saving money normally spent on printing items that ultimately won’t appeal to certain demographic groups.

4. Using AI to Tests

Before rolling out marketing campaigns on a large scale, AI tools can help marketers test their messages first to avoid wasting time and resources on ads that don’t resonate with their audiences. Marketers can use chatbots created using AI technology to communicate with several demographics at once so they can adjust messaging before posting it for the world to see.

5. Using AI-Powered Chatbots

People are increasingly expecting immediate answers through services like Facebook Messenger or text/SMS alerts if they’re not able to speak with an agent over the phone. Chatbots powered by machine learning algorithms are able to understand what people say in conversations, without requiring marketers to constantly update scripts as language evolves over time. This is particularly helpful since it’s that more than 40% of SMS and instant messages sent and received each day are spam.

While chatbots aren’t able to process everything that is said in conversations yet, marketers can focus on keywords so they only respond when prompted about specific information. This ensures customers won’t get overwhelmed trying to keep up with bots who try to please their every whim by responding to unsolicited questions or comments.


Technology is advancing and Marketers need to be aware of how it can help them grow their brands. AI-powered bots are already available through a variety of messaging apps, including Facebook Messenger and Snapchat, and marketers can integrate chatbots into their websites to provide real-time information that consumers may be seeking when they visit their sites.