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What AI Marketing Automation Can Teach Marketers

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In the marketing industry, artificial intelligence (AI) is becoming a more valuable instrument, especially when it comes to automation.

An image of AI marketing automation shows a man in a suit holding a digital version of the world with different social media icons all around it.

In fact, it is expected that the market for artificial intelligence in marketing would grow from $15.84 billion in 2021 to over $107.5 billion by 2028.

Marketers need to stay current on the different applications of AI marketing automation in order to be competitive. Here’s an overview of AI’s role in marketing automation and how marketers may use it to stay current. How does marketing automation get affected by artificial intelligence?

Fundamentally, artificial intelligence uses machine learning to mimic human learning and enhance precision by analyzing large volumes of data. AI examines large data sets for marketing automation purposes in order to spot trends, predict customer behavior, and make quick judgments.

Consequently, processes that would otherwise be challenging, expensive, and time-consuming are being automated and optimized by marketers with the use of artificial intelligence and machine learning algorithms. It follows that the presence of AI marketing automation is inevitable.

By 2030, the market for marketing automation is expected to have grown from $4,438.7 million in 2020 to $14,180.6 million. Additionally, the top 28% of businesses include artificial intelligence (AI) and marketing automation tools into their daily operations.

Why Should AI Be Used By Marketers For Marketing Automation?

Marketing processes can be made more efficient with the use of AI-powered marketing automation. This frees up marketers to concentrate on other aspects of their work, such ideation and planning.

AI marketing automation makes it simpler to provide clients with personalized content because of data and algorithms. ROI optimization and cost savings are other benefits.

You can save money by automating repetitive processes. For instance, using AI chatbots to communicate with consumers would eliminate the need for human customer support representatives, thereby saving money over time.

An Accenture study found that businesses using AI for marketing had average ROI improvements of up to 30%.

Marketing Automation With AI Applications

Here are a few instances of how marketers can automate tasks with artificial intelligence.


A study by McKinsey called “Next in Personalization” found that 71% of customers expect businesses to offer customized experiences. In addition, 76% of consumers find it annoying when they don’t receive individualized attention.

It can be challenging, time-consuming, and impractical to provide personalized experiences for each and every one of your customers without automation.

AI may automate the process by analyzing customer data and habits and using that information to personalize each client’s experience.

Whole Foods, for instance, uses AI to send consumers personalized messages.

In 2021, Whole Foods plans to open a number of Just Walk Out sites across the country. Consumers do not need to pause at a register in order to pick up their items and depart.

AI is utilized to charge the products instead. After that, the AI makes use of the purchase data to identify trends and project future behavior. This makes it possible for the AI to send customized messages to clients.

Whole Foods may provide coupons and discounts for additional vegan products to customers who purchase frozen vegan dinners.

Email Automation

Although sending a lot of emails to prospective customers can take up a lot of time, marketers can use that time for other, more crucial duties. With AI-powered marketing email automation, your company can send thousands of customized emails in real time.

As your email list grows, this becomes even more helpful because who has the time to send 200,000 emails multiple times a week?

AI may also track the effectiveness of your emails in real time and use the data to improve the efficacy of your subsequent email campaign.

Lead Scoring And Nurturing

AI is capable of swiftly and effectively analyzing data to identify which leads are most likely to convert to customers. AI can help marketers score leads more quickly and affordably while also improving the quality of the leads.

By successfully guiding prospects through the sales funnel until they are prepared to make a purchase, AI can also aid in raising conversion rates.

Predictive Analytics

Being a good marketer requires being proactive and able to foresee trends. Fortunately, AI is a fantastic tool for assessing and predicting customer behavior and trends because of algorithms.

Predictive data will allow marketers to modify their marketing plan. The information can help a business, for instance, decide when to launch a new product.

Enhancement Of Channels

There are many different channels to pick from when it comes to marketing your business, item, or service. With Al algorithms, marketers can easily determine which channels work best for reaching their target population.

This makes it possible for marketers to allocate time and funds to the channels that yield the best return on investment.

Interaction And Client Support

Sixty-two percent of clients would prefer to work with a customer support bot rather than wait fifteen minutes to speak with a live agent.

Instantaneous responses from artificial intelligence would improve customer experience and satisfaction while saving money and time.

Artificial intelligence (AI)-powered chatbots can process orders more quickly than human employees, suggest products, and respond to often asked questions.

Successful AI Marketing Automation Implementation

You must first identify the platforms and technologies that will help you reach your marketing goals before you can apply AI marketing automation. There are many options available, including software, chatbots, and AI-powered platforms.

For instance, HubSpot’s content assistant is a free suite of AI-powered tools that uses generative AI to help with the generation and distribution of documents including emails, outlines, and written content.

In order to boost efficiency, marketers can connect our conversational CRM bot, ChatSpot, to HubSpot.

By utilizing chat-based commands to connect with your CRM data, the functionality speeds up the completion of activities in HubSpot.

To integrate AI marketing automation into your company, you don’t need to be a tech wizard.

Finding repetitive tasks in your process that could be automated is all that’s required; after that, select the right hardware or software to satisfy your needs.

You may start looking for ways to leverage AI marketing automation now that you know what it is.