7 AI Automation Examples that Will Streamline Your Marketing Strategy – InstantFollowerz

Just when it seemed like there was nothing else I could write about AI, 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 bots

Best for: Streamlining the long, tedious marketing process and interaction with consumers.

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

For example, I often have to interview marketing leaders and get their quotes for the posts I write. It should be me forever to listen to 30-60 minutes of interviews and look 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 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 marketer using AI tools like bots. According to our recent survey of 1000+ marketers, 86% of marketing professionals let’s 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 correct 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, a recent study showed this 62% of consumers they prefer to deal 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 and more.

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

for example, HubSpot’s Breeze AI collects quality data to create personalization at scale.

3. Creating AI content

Best for: Create quick, short 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 marketer, you know you only have so much time available 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 created an entire YouTube channel using different types of AI 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. Lead generation

Best for: Gathering information about consumers to generate leads.

Automated lead generation is among the most useful forms of AI in marketing. Intelligent automation in lead generation tasks such as lead capture, scoring and nurturing makes finding new customers easier and far less time-consuming.

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

That information would then be sent to the CRM and used for targeted email campaigns that convert me into a new repeat 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 ROI.

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

This is because AI is extremely useful for extracting, processing and applying data. With automatic customer segmentation, you can generate personalized content like emails, videos and more.

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

6. Email marketing

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

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

I once hosted a newsletter for a TV station I worked for as a reporter and curated HubSpot’s Marketing Daily newsletter before it was turned into a Marketing Master.

So trust me when I say that automated email marketing with artificial intelligence has made my job as an email marketer easier. With artificial intelligence, 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 personalized, segmented content.

7. Targeting and optimization of ads

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