AI in Digital Marketing - The Ultimate Guide

Artificial Intelligence (AI) in digital marketing has evolved from a nice-to-have to a game-changer for today's marketers.

It's become a powerful technology to drive personalization, predictive analytics, customer experience, and much more.

That’s why marketing leaders are implementing AI-driven initiatives in their marketing strategies, with many believing the technology will have a ‘big impact’ on productivity (50%), efficiency (45%), and innovation (38%), according to our ‘2024 Global Digital Skills & Training Report: Insights from Corporate Leaders’ report.

In this article, we'll break down what AI means for digital marketing, examples of its use, challenges and tools (not just ChatGPT), and explore the skills you need to use it to your advantage:

• What is AI in digital marketing?
• What are the best AI tools for digital marketing?
• Examples of AI in digital marketing
• How do you use AI in digital marketing?
• What are the pros & cons of using AI in digital marketing?
• What are the most common skills used in AI-driven digital marketing?
• Will AI replace digital marketers?
• What is the future of AI in digital marketing?

Artificial intelligence in digital marketing uses the capabilities of the technology such as data collection, natural language processing, machine learning, and analytics to drive better business insights and automate marketing tasks and decisions.

The advantage of AI is that it helps you gain insights into customer behaviors by harvesting vast amounts of data.

This data can be used to respond to and tailor a customer’s needs depending on their actions and preferences. AI is also able to adapt and improve over time using feedback and new data.

It offers great opportunities for marketers to be more effective and personalized. This means customers get relevant content that can be triggered by actions on a site, an ad, or a branded message.  

The McKinsey Global Survey on AI finds that organizations are taking steps that drive bottom-line impact such as redesigning workflows as they use generative AI and put senior leaders in critical roles, such as overseeing AI governance. They are also working to mitigate any gen-AI-related risks and hiring new AI-related roles while retraining employees to deploy AI.

While ChatGPT may be the most talked-about generative AI tool, there are so many more out there that are helping marketers in their daily roles.

They can help marketers with a variety of functions from content generation and automation to SEO and design.

Here are some of the best AI tools out there:

• Writer - A highly-rated content generation tool that can repurpose content and includes an AI writing assistant
• Midjourney - Generative AI that can convert natural language prompts into images
• Optimove - A customer data platform with AI-based marketing functions
• Zapier - Helps automate workflows by connecting apps and services that your company uses
• Manychat - Provides an interactive customer experience using NLP to respond to customers on social platforms including WhatsApp
• Evolv.ai - Uses AI and machine learning algorithms to improve customer experiences in real-time
• Surfer SEO - A cloud-based on-page optimization tool that analyzes and compares your pages against what currently ranks on the SERPs
• Mailchimp - Uses AI to optimize email campaigns by predicting the best send times and personalizing content
• Perplexity - Similar to ChatGPT but more suitable for research as it uses web citations in a clearer way
• Drift - An AI chatbot that enhances lead generation and customer interaction
• Buffer - Responsible for social media management, offering post scheduling, analytics, and content curation
• Tableau - An AI-powered data visualization and intelligence tool that helps marketers analyze data and extract actionable insights

The power of AI means it can be leveraged across many digital channels. Companies use it for social media campaigns, to automate tasks and processes, and for digital advertising.

Take a look at our 10 eye-opening AI marketing stats in 2025 blog to see how the technology is being leveraged to deliver results.

It can also be used in any industry. Beauty brands use it to deliver a tailored customer experience such as Sephora’s AI chatbot-powered shopping service and its Virtual Artist App.

Using AI and digital innovations, Sephora’s e-commerce sales grew from $580 million in 2016 to over $3 billion, according to Statista.

One of the most successful and well-known for using AI effectively is streaming giant Netflix. The streaming service uses the technology to provide personalized recommendations based on user preferences and behavior.

These choices are based on thousands of data points such as:

• User profile information (e.g age, gender, location)
• Type of device used to stream
• Watch patterns (whether a show was paused, rewound, fast-forwarded)
• Whether an entire movie or TV series was completed
• Browsing history

By using these data points, Netflix improves content recommendations, reduces churn rate, and boosts return on investment.

Top tip: Check out some amazing examples of AI in marketing to get inspiration.

As AI technologies have become more accessible and easier to use, companies have started to use them in daily tasks such as creating content for pay-per-click (PPC) ads or setting up triggered email workflows.  

When we asked our membership community at the Digital Marketing Institute about AI, 60% believe they are familiar with the technology and its applications in marketing, but 37% don’t currently have an AI strategy in their business.

But what's the impact of AI on marketers and what are they using it for?

Marketing teams are often under pressure to create content quickly for many purposes and channels. However, creating good content takes time and effort, and a lot of marketers are time and resource poor.

AI copywriting tools such as ChatGPT and Claude have exploded because they help people to generate content. This could be email subject lines, ad copy, landing pages, blogs, or anything else you need for your content marketing.

You can also use AI writing prompts to create catchy headlines and customize content for your audience which drives personalization and use AI to boost your influencer marketing campaigns and manage your relationships.

Using these tools saves time and money. However, make sure to read over any content before publishing it live to ensure it has personality and fits in with your brand voice.

Speaking of content, you must also remember to optimize your content for AI because the rules have changed in terms of what search engines like Google display for their AI overviews and AI mode. To maintain visibility, you need to update your content, and you can also use the help of AI tools for this.

"People use AI because it's lower cost and highly scalable. But if you don't have a good creative platform and it doesn't come from creative and data-driven insights, then it's just spray and pray really,” says Mischa McInerney, CMO at the Digital Marketing Institute.

AI-driven chatbots have been around for a while as a way to communicate with and provide information to customers. When people want to get instant answers to simple queries or interact with a brand, they first go to a chatbot.

However, AI has a bigger role when it comes to customers. It can improve customer experience by personalizing content and messaging, anticipating customer needs, streamlining purchasing, and directing queries or concerns to the right department or agent.

Knowing your customers is at the heart of effective marketing but understanding them deeply enough to predict what they want next can be challenging. Traditionally, customer segmentation and targeting required hours of manual analysis and guesswork. Now, AI automates and enhances this process, giving marketers powerful insights at scale.

AI algorithms can analyze massive datasets to segment your audience into groups based on shared interests, behaviors, needs, or purchase intent. Instead of broad, one-size-fits-all campaigns, you can now deliver personalized messages that evolve in real time as customer behaviors change.

For example, AI-powered recommendation systems (like those used by Netflix or Amazon) suggest products, services, or offers tailored to each user’s unique preferences. Meanwhile, Natural Language Processing (NLP) tools can scan customer reviews, social media comments, or survey responses to uncover sentiment, recurring pain points, and unmet needs.

These insights help marketers refine their messaging, improve products and services, and build stronger, data-driven relationships with their customers, turning audience understanding into a competitive advantage.

To make this process easier, marketers can use AI-powered customer insight platforms such as Segment, Optimove, or Salesforce Einstein, which specialize in aggregating and analyzing data from multiple channels. These tools help you uncover meaningful patterns, predict customer behaviors, and personalize engagement strategies with precision.

Artificial intelligence has huge potential in the area of search engine optimization (SEO). Search engines such as Google have been using sophisticated algorithms that crawl and index web pages to rank them.

Now, AI is becoming further integrated with that process in a way that is changing the world of search even more, through AI Overviews (previously known as Search Generative Experience (SGE).

AI can automate and improve keyword research and content optimization by analyzing user behavior, along with creating meta tags and headings. Marketers can also use it to predict SEO trends, user behavior, and algorithm updates through predictive SEO. 

Voice and visual search are becoming more important ways for people to find information, and AI can help optimize both. This can be done by focusing on NLP and long-tail keywords and including relevant metadata on images.

Pro tip: Read more about what AI Overviews mean for Search.

Pay-per-click (PPC) advertising is a form of advertising where you pay when someone clicks your ad. As a strategy, PPC marketing is important as it can attract new customers through targeted campaigns, get quick results, and be easily tweaked and optimized.

AI can be used to enhance your paid media and PPC campaigns by:

• Refine audience targeting: AI analyzes vast datasets to identify high-intent audiences, helping advertisers reach users most likely to convert.
• Conduct keyword research: Machine learning tools uncover new keyword opportunities and search trends, improving campaign relevance and ROI.
• Create compelling copy with Generative AI: AI-powered writing tools craft headlines and ad text that align with user intent and emotional triggers.
• Generate images with built-in campaign tools: Platforms like Google Ads and Meta now use AI to produce ad visuals tailored to your target audience and message.
• Improve bidding strategy: Smart bidding algorithms automatically adjust bids in real time to maximize conversions or return on ad spend (ROAS).
• Create more responsive landing pages: AI helps personalize landing page elements, from layout to CTAs, ensuring a better match between ad promise and page content.
• Optimize product titles and descriptions: For eCommerce, AI enhances ad performance by refining product metadata for relevance and visibility across shopping platforms.
• Optimize ad scheduling and placement: Predictive AI determines the best times and placements to display ads, ensuring maximum engagement and efficiency.
• Automate A/B testing: AI rapidly tests multiple ad variations and automatically prioritizes high-performing creatives without manual oversight.
• Get better insights and data-backed reporting: AI aggregates and visualizes campaign data, highlighting trends, patterns, and actionable insights in real time.
• Predictive analysis: AI models forecast future campaign outcomes based on historical data, allowing marketers to anticipate performance and allocate budgets more effectively.
• Fraud detection: AI detects unusual patterns in clicks or impressions, protecting ad budgets from invalid traffic and fraudulent activity.

As the technology continues to evolve, marketers can see new ad formats, targeting techniques, and measurement tools for PPC. This is why it’s so important to keep an eye on developments and stay up to date.

With so much data available from a wide variety of channels, marketers can often feel overwhelmed. However, artificial intelligence can process vast volumes of data at speed. This can help marketers gain insights from data, along with using historical data to predict trends and behaviors.

AI can also be used to detect anomalies in data and uncover patterns. The combination of AI and data analysis can help drive hyper-personalization. The better you know your customers, the more targeted you can be in your messaging and approach. In retail, for example, it can be used to manage inventory and optimize customer service.

ChatGPT has excellent data analysis capabilities, especially if you use its Advanced Data Analysis plugin. This enables you to feed a spreadsheet to ChatGPT, and it then helps you to unearth deep insights above the data in your spreadsheet.

Ultimately, it’s about using AI technology in data analysis to drive better business insights in a way that works for you.

Email marketing is an important part of any marketing strategy as it continues to be an effective way to convert prospects and engage customers. Using AI tools in your email marketing can save you time and improve performance.

By using AI in emails, you can:

• Analyze email performance: AI can quickly identify which subject lines, send times, or content formats drive the best results, helping you refine your strategy over time.
• Create triggered workflows: Set up automated email sequences based on user behavior, such as sign-ups, purchases, or abandoned carts, to deliver timely and relevant messages.
• Conduct campaign and workflow analysis: Use AI analytics to monitor performance trends, detect bottlenecks, and uncover optimization opportunities in your campaigns.
• Craft copy tailored to your audience: Generative AI tools can assist in writing personalized subject lines and email copy that resonate with different audience segments.
• Personalize content to audience segments at scale: Deliver unique messages, product recommendations, or offers to thousands of subscribers based on demographics, preferences, or past interactions.
• Enable dynamic content: AI can adjust visuals, headlines, or CTAs in real time depending on the recipient’s profile or behavior.
• Perform A/B testing: Instead of manually setting up tests, AI tools can experiment with multiple variants and automatically select the top-performing versions.
• Clean and curate your email lists: Removing low-engagement contacts or identifying high-value subscribers based on behavior patterns.
• Determine the optimal send frequency: It does this by tracking engagement and conversion metrics, ensuring your audience hears from you at just the right time.

As with any evolving technology, there are advantages and disadvantages to using artificial intelligence. There are also ethical implications in using it for digital marketing in terms of bias, data privacy, and discrimination.

• Boosts productivity - Automate a variety of jobs so your time and effort can be redirected to more difficult and strategic tasks. 
• Drives efficiency - Handle mundane and repetitious activities such as data input, separating marketing campaign leads, and replying to consumer queries.
• Reveals insights - Eliminate guesswork and provide data-driven capabilities to develop a more effective marketing approach and open up new marketing opportunities. 
• Increases ROI - Predict buying behavior and choices by evaluating data, improving the UX, and providing consumers with the content they require to complete their buyer journey. 
• Create and optimize content - Automate content creation to produce quality content at scale for all online channels. 
• Personalize at scale - Analyze customer data and generate personalized recommendations or content to enhance customer experience. 
• Predictive analysis - Forecast consumer behavior or market trends based on historical data to help more accurate and effective planning. 
• Automate tasks - Handle routine tasks such as data analysis, customer segmentation, email sorting, data entry or basic reporting.

• Bias - AI can only be as effective as the data it draws on so it’s not inherently neutral. This means you need to be aware of the potential for racial, gender, cultural, or socioeconomic biases in your AI-driven strategies.
• Inaccuracy - Mistakes or inaccuracies in data can lead to faulty analyses and potentially costly business decisions. 
• Ethics - Ethical concerns include the manipulation of user data and behavior, consent, and the ‘creepiness factor’ in hyper-targeted ads.  
• Data sensitivity and security - AI systems often require access to extensive datasets, which may include sensitive information that needs to be securely managed. 
• Transparency - As AI-generated content becomes more common, questions about transparency, plagiarism, authorship, and IP ownership become relevant.

The key to using AI technology effectively is to make it fit in with your role. It's not enough to know how to use artificial intelligence. You also need to know why you're using it.  

For example, does it align with your business and career goals? Will it help you deliver organizational objectives more efficiently? Is it saving you time rather than just creating more tasks?

You need to understand the basics but also take a deep dive into AI to use it to meet your goals whether that be generating and nurturing leads or improving customer service. 

According to an article by The Economist and Think with Google, "marketers must embed AI expertise within their ranks, mastering the art of tool selection and integration, while ensuring that automation enhances rather than supplants human judgment. The winners will be those who wield AI not as a novelty but as a disciplined force multiplier — seamlessly woven into strategy, operations, and the broader marketing ecosystem".

With that in mind, here are some of the key technical skills you should consider brushing up on to improve your broader competency with AI technology:

• Data management
• Data analysis
• Testing
• Content personalization
• Marketing automation
• Process analysis and improvement

Developing these skills using AI may alleviate some of the fear you might feel when dealing with the technology. The more familiar you become with the models and technology, the less intimidating it becomes!

But it’s not just about hard skills like coding or content marketing. Companies seek marketers with outside-the-box thinking and skills that make them solution-focused. 

“I speak to a lot of people in ad agencies and learning and development at big companies and they often talk about hard skills. I want to see people learn how to code. I want to see them apply this and get ROI,” says Clark Boyd on the DMI podcast. 

Four areas that are important to focus on for broader or soft skills in the context of AI are:

• Strategic thinking
• Innovation
• Creativity
• Agile thinking

These critical professional skills will perfectly complement your digital and technical skills as you prepare for the AI-driven future of marketing.

Top tip: You can even use AI in your job search to help you find the right roles and align your CV and cover letter to any job description.  

In its current state, AI cannot replace digital marketers and it’s unlikely to do so anytime soon. What AI does best is enhance human capabilities, not replicate them. It can automate repetitive tasks, process large datasets, and even generate creative ideas, but it still needs human direction, judgment, and emotional intelligence to ensure those outputs are relevant and authentic.

This is where the concept of “humans in the loop” (HITL) becomes essential. In digital marketing, HITL means humans remain at the center of the AI process — guiding it at the start, overseeing its progress, and validating or refining the results. For example, a marketer might use AI to generate ad copy or segment audiences, but they’ll still review tone, brand fit, and ethical implications before launching any campaign.

“There's still a huge need for human writers for human creativity, for human thought and strategy and to come to these models with our own objectives and our own ideas,” said Kerry Harrison, AI educator and copywriter on a DMI podcast.

In other words, AI is a co-pilot, not a replacement. The future of digital marketing belongs to professionals who know how to leverage AI intelligently by combining automation with human insight, empathy, and strategy to deliver campaigns that truly resonate.

We know that artificial intelligence can be daunting and it’s difficult to see where and how it fits into your role. But it shouldn’t be seen as a threat. AI can become an invaluable ally as you look to effectively meet your goals.

After all, AI tools are great for looking after mundane, predictable, and labor-intensive tasks. This frees you up to focus on the more creative and strategic aspects of your job.

Understanding and mastering AI will also give you a personal boost. You will gain new skills and real-life experience in a generative technology that’s going to become more widespread and an area that companies look for to recruit or promote. 

“Awareness is the first step to change. The question is, are you going to sit on the sidelines and let this evolve or are you going to dive in with two feet and try to understand it, learn it, try it and apply it?” concludes Lecinski on the DMI podcast on getting started in AI.

Artificial intelligence is a game changer for marketers as it helps personalize, optimize and automate many key marketing activities. Our advanced AI course will help you use AI-driven marketing, use AI for research and content generation, understand how to use the technology across digital channels and to implement a digital strategy and earn an Associate Level Certification in AI. Reserve your spot today!