7 AI Automation Examples That Will Streamline Your Marketing Strategy

Just when it seems like I can’t write anything else about AI, I come along with another blog post on the subject.

Today, I’m sharing examples of AI automation that you can integrate into your marketing processes to streamline your strategy and get ahead of the competition.

Let’s go!

7 examples of AI automation

1. AI Bots

Ideal for: Streamline long and tedious marketing processes and interact with consumers.

A bot is an intelligent AI-based automation with many use cases for marketers and consumers. Marketers like me typically use AI bots to streamline tedious tasks.

For example, I often have to interview marketers and research their quotes for articles I write. It would take me forever to listen to 30-60 minutes of an interview and search 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 robots reduces hours of work in just a few minutes!

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

And I’m far from the only marketer saving time by using AI tools like bots. According to our recent survey of over 1,000 marketers, 86% of marketing professionals say AI 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 resolve problems.

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

In fact, a recent study found that 62% of consumers prefer interacting with digital assistants rather than waiting for human agents.

2. AI Personalization

Ideal for: Quickly collect data to deliver data-driven insights and high-quality, personalized content.

According to our State of Marketing 2024 report, 77% of marketers who use generative AI say it helps them create more personalized content. AI and personalization therefore 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, and more.

AI then uses this information to generate data-driven insights and tailor content to each customer.

For example, HubSpot Breeze AI brings together quality data to create personalization at scale.

3. AI Content Creation

Ideal for: Creating short, quick videos such as Reels, YouTube Shorts or TikToks.

As a podcaster, blogger, and former YouTuber, I can confirm that creating content, while fun, is extremely time consuming.

If you’re a hobbyist, you probably don’t mind the time commitment, but if you’re a marketer, you know you only have so much time to devote to a task.

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

Videos Social Media Posts Blog Posts Podcasts

For example, I recently created an entire YouTube channel using different types of AI in just a few minutes. I’ve also created TikToks and blog posts using AI alone.

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

4. Lead generation

Ideal for: Collect consumer information to generate leads.

Automated lead generation is one of the most useful forms of AI in marketing. Intelligent automation of lead-generating tasks like 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 a CRM and would be used for targeted email campaigns that would turn me into a new, loyal customer.

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

5. Customer segmentation

Ideal for: Meet your customers’ needs and generate a higher return on investment.

AI automation can quickly classify your customers into subgroups based on demographics, behaviors, lifestyles, location, and needs.

Indeed, AI is exceptionally useful for extracting, processing and applying data. With automated customer segmentation, you can generate personalized content like emails, videos, etc.

By 2024, almost a quarter of marketers are already using AI for customer segmentation.

6. Email Marketing

Ideal for: Run a smooth, personalized email marketing campaign.

I’ve dabbled a lot with email marketing throughout my career.

I previously managed the newsletter of the TV channel I worked for as a journalist and organized HubSpot’s daily marketing newsletter before it was converted to a Masters in Marketing.

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

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

7. Ad targeting and optimization

As you’ve probably already noticed, AI is expert at using data to help create a transparent and targeted marketing campaign. So it’s no surprise that ad targeting and optimization of personalized marketing materials is as simple as counting to 3 for AI.

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