7 AI Automation Examples that Will Streamline Your Marketing Strategy

Just when it seems I can’t write anything more about artificial intelligence, here I am with another blog post on the subject.

Today I’m sharing examples of AI automation that you can incorporate into your marketing processes to streamline your strategy and outperform your competition.

Let’s dive in!

7 examples of AI automation

1. AI robots

Best for: Simplifying the time-consuming, tedious marketing process and interaction with consumers.

A bot is an intelligent automation powered by artificial intelligence with many use cases for marketers and consumers. Marketers like me usually use AI bots to simplify tedious tasks.

For example, I often have to interview marketing leaders and find their quotes for the posts I write. It would take me forever listen to 30-60 minutes of interviews and hunt for the most compelling quotes.

Then one of my colleagues introduced me to an AI tool called Castmagic, which can transcribe audio into text.

I would then paste the transcribed text into ChatGPT and ask the chatbot to identify the most interesting quotes from the text. This use of bots cuts hours of work into just minutes!

I also save time by using HubSpot’s internal GPT to generate post titles, meta descriptions, outlines, and topic ideas.

And I’m far from the only time-saving trader using AI tools like bots. According to our recent survey of more than 1,000 retailers, 86% of marketers let’s say artificial intelligence helps them save an hour every day in their normal workflow.

Of course, I can’t forget how chatbots help marketers connect with consumers. Chatbots can direct your website visitors to the right product or service, answer questions or solve problems.

All of this can be done quickly and efficiently, and your customers will appreciate the quick action.

In fact, recent research has shown that 62% of consumers they prefer to collaborate with digital assistants rather than waiting for human agents.

2. AI personalization

Best for: Rapid data collection to deliver data-driven insights and high-quality personalized content.

According to our State of Marketing 2024 Report, 77% of marketers using generative AI say it helps them create more personalized content, so AI and personalization already go hand in hand.

However, AI can also automate the process of creating personalized content by quickly and efficiently collecting data on customer behavior, preferences, location, etc.

AI then uses this information to generate data-driven insights and tailor content to individual users.

For example, HubSpot’s Breeze AI collects quality data to create personalization in large numbers.

3. AI Content Creation

Best for: Create quick short form videos like Reels, YouTube Shorts or TikToks.

As a podcaster, blogger, and former YouTuber, I can attest that content creation, while fun, is incredibly time-consuming.

If you’re a hobbyist, you probably don’t mind the time spent, but if you’re a trader, you know you only have so much free time for a task.

Fortunately, AI content creation automates the content creation process, such as:

• Videos
• Posts on social networks
• Blog posts
• Podcasts

For example, I recently built an entire YouTube channel using various types of artificial intelligence in just a few minutes. I’ve also created TikToks and blog posts using only AI.

And let’s not forget my earlier example of using AI tools like Castmagic to transcribe podcast interviews into written content.

4. Generation of potential clients

Best for: Gathering information about consumers to generate leads.

Automated lead generation is one of the most useful forms of artificial intelligence in marketing. Intelligent automation in lead generation tasks such as lead capture, scoring and nurturing makes finding new customers easier and takes much less time.

For example, let’s say I visit the website of my favorite shoe store, DSW, and I’m greeted by an automated pop-up asking for my name and email address in exchange for 10% off my next purchase.

This information would then be sent to the CRM and used for targeted email campaigns that convert me into a new consistent customer.

AI automation allows this process to be completed in seconds, saving marketers time and money.

5. Customer segmentation

Best for: Meeting the needs of your customers and generating a higher return on investment.

AI automation can quickly categorize your customers into subgroups based on demographics, behavior, lifestyle, location and needs.

This is because artificial intelligence is extremely useful for extracting, processing and applying data. With automated customer segmentation, you can generate personalized content such as emails, videos and more.

As of 2024, almost a quarter of retailers are already using AI for customer segmentation.

6. E-mail marketing

Best for: Running a smooth, personalized email marketing campaign.

I’ve done a lot of email marketing in my career.

I once ran a newsletter for a TV station I worked for as a reporter and curated HubSpot’s Marketing Daily newsletter before it was turned into an MA in Marketing.

So trust me when I say that AI automated email marketing has made my job as an email marketer a breeze. With artificial intelligence I managed to:

• Analyze email performance and open rates to see what worked and what didn’t with my target audience
• Collect analytics to determine the health of my campaigns
• Quickly clean up my email lists
• Send personalized, segmented content.

7. Ad targeting and optimization

As you’ve probably noticed by now, AI is a pro at using data to help create a seamless, targeted marketing campaign. So it’s no surprise that targeting ads and optimizing personalized marketing materials are as easy as counting to 3 for AI.

Now you have great examples of AI automation in AI. How do you plan to implement intelligent automation in your next marketing campaign?