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Top Benefits & Uses of AI in good Digital Marketing strategy. 2022

Top Benefits & Uses of AI in Digital Marketing strategy.


Artificial intelligence (AI) is a powerful tool that can take your digital marketing strategy to the next level. To get started, it’s important to understand how AI works and how it can be used in digital marketing.

1. Better Customer Experience

  • Better Customer Experience

Customers have come to expect a seamless, personalized customer experience. The customer journey has become shorter and more transactional as customers seek out products and services that align with their personal needs, preferences, and behaviours. AI can help brands deliver on these expectations by improving customer experiences across multiple touchpoints across the entire journey through automation of processes such as:

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  • Personalization
  • Efficiency
  • Cost-effectiveness

To personalize a customer experience, brands need to have an understanding of the customer that goes beyond demographics and basic psychographics. AI can help by collecting and analyzing data from multiple touchpoints in real-time, allowing marketers to create a more detailed picture of customers and their preferences for messaging, content, product offerings, and more. Some examples include:

-Leveraging AI to recommend products based on past purchases and browsing history

-Delivering personalized email campaigns based on customer’s preferences Delivering relevant messaging at the right time (for example, via push notifications) Creating a more efficient customer experience

2. Uncovering Audience Insights

AI can help you to answer questions about your customers, and it can also help you to understand their behaviour. This is particularly useful if you’re trying to better understand a specific demographic or audience segment.

AI can help you to understand your customers’ preferences, pain points and needs, which will allow for more effective messaging that resonates with them.

It can also help you to understand how your audience members are engaging with your content, how long they spend on certain pages and where they drop off.

3. Lead Generation & Qualification

Lead Generation and Qualification

By now, you’ve probably noticed that we are big fans of using AI for lead generation. We’ve talked about how it can help you generate more leads by reaching out to your prospects in new ways. But what about qualifications?

Not all leads are created equal—some of them will be better than others. They may be more likely to buy from your company, or they may have a higher lifetime value (LTV). But to find out which ones are which, you’re going to need some sort of system for qualifying them first. And guess what? There’s also AI for that!

Qualification differs from lead generation because while lead gen is focused on collecting as many emails as possible, qualification focuses on filtering through those who are most likely going to convert into customers or clients—people who have expressed interest in buying something from you before reaching out directly via email or social media platforms like Facebook Ads Manager or Twitter Ads Manager (or wherever else).

What are the benefits of using AI for lead qualification? – Increase revenue by focusing on the right leads. – Reduce churn and costs associated with unqualified leads. – Match prospects’ needs more accurately to your company’s offerings. How does AI help you qualify leads? By filtering through a large number of them, weeding out any that do not meet certain criteria before making contact.

4. Content Creation

Now, you may be wondering: how can AI help me with content creation?

Let’s look at four ways that AI can help with content creation.

AI can also help optimize content for search engines like Google or Bing, which means you don’t have to worry about writing long blog posts or articles because AI will do it for you! It will analyze what keywords your audience is using when they search and then recommend other ones that are relevant based on those searches so they can find the information they’re looking for without having to waste time going through all of those different websites themselves.

5. Personalization

Personalization is one of the best ways to improve your digital marketing efforts. Personalized content is more effective, engaging and memorable than general messages that aren’t tailored for each specific customer. Personalized messages are also more persuasive and actionable since they speak directly to the individual’s needs and interests. Plus, personalized content is much more likely to be shared by your customers than generic ads or emails—and it’s also more likely to get a response!

Personalized experiences are key to increasing customer retention and revenue. The average consumer will forget about your brand within two weeks if there’s no one-on-one contact with it, but personalized experiences can help you build lifetime relationships.

Artificial intelligence is a big part of digital marketing’s future, and now’s the time to begin learning about it.

Artificial intelligence is a big part of digital marketing’s future, and now’s the time to begin learning about it. AI is becoming more prevalent in digital marketing for several reasons:

  • It can offer a more personalized experience for your audience. By using AI to personalize your messaging, you’re able to speak directly to each individual person based on their interests and preferences. This helps you make better decisions about what content should be shared with each person in order to increase engagement rates.
  • It can help you uncover insights about your audience that would otherwise be difficult or impossible for humans alone. For example, if someone looks at two unrelated products on your website but spends more time on one than another (for whatever reason), then this may suggest interest in purchasing one product over another—and this information could ultimately help guide future campaigns toward success!


As you can see, there are many different ways that AI can be used in digital marketing. The key is finding the right tool for the job. If your company has already started using AI, then great! You don’t need to do anything differently. But if not, now is the time to start learning about it so that you can integrate it into your workflow as soon as possible.

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