AI is changing every industry by doing intelligent tasks better than humans and making predictions about future outcomes.
The marketing industry is no exception.
Today, forward-thinking brands are using AI to dramatically reduce costs, increase revenue, and generate massive marketing results.
In the process, they're building powerful competitive advantages in their markets by deploying AI against non-AI enabled rivals.
The marketers running these projects also benefit.
They're quickly becoming sought after (and rewarded) for their unique blend of marketing expertise and actionable AI knowledge.
You can do the same.
But getting started with AI marketing is easier said than done.
There's plenty of commentary on how brands could use AI marketing. But there are fewer publicized real world use cases that your marketing team can model and learn from.
This post is here to help.
In it, you'll learn why AI is so important to the future of marketing.
You'll also discover examples of how real brands are using AI in their marketing right now. (These examples are taken from our exclusive Spotlight series with AI marketing solutions providers.)
To make this as actionable as possible, we've only included use cases where specific brands were mentioned, so digital marketing pros can connect the dots and model actual companies using an AI solution.
How is AI being used in marketing?
AI has hundreds of use cases across different marketing functions.
Our 2021 State of Marketing AI Report found that marketers were actively using AI across the following functions:
- Account-Based Marketing
- Content Marketing
- Customer Service
- Data Management
- Direct Marketing
- Email Marketing
- Event Marketing
- Product Development
- Public Relations
- Social Media Marketing
What companies are using AI in marketing?
1. MasterCard uses AI to create content at scale.
Natural language generation (NLG) refers to AI technology that automatically creates narratives from structured datasets. Currently, there are two major NLG providers: Narrative Science and Automated Insights.
Narrative Science's solution, Quill, is used by companies like "USAA, American Century Investments, Deloitte, Groupon, Credit Suisse, MasterCard, Franklin Templeton and the U.S. intelligence community" says Katy De Leon (@KatyDeLeon), VP of marketing at the company.
Quill helps these firms translate data into written narratives. By automating content creation, these brands are able to drive performance by creating more content in less time, as well as surfacing key insights from data to drive decision-making.
Automated Insights has a solution called Wordsmith that is used by firms like the Associated Press and the Orlando Magic to produce content at scale. The AP uses the tool to automatically write corporate earnings reports and Minor League Baseball recaps.
Freed up from writing these repetitive, but critical, narratives, AP reporters can focus on deeper reporting for bigger stories that require a human touch.
The use cases for this type of technology in content marketing are clear: NLG makes it possible to partially automate different types of written content.
2. Harley-Davidson uses AI to improve online ad performance.
Albert uses its artificial intelligence and machine learning platform to offer insight into advertising effectiveness. These insights can then be used to inform every marketing campaign and marketing strategy moving forward.
"We've developed proprietary, patent-pending algorithms that leverage predictive analytics to execute on data-driven actions, and deep learning technology to act effortlessly on unpredictable situations that would traditionally require decision-making and reasoning by a human marketer," says CEO Or Shani.
The tech empowers brands to gain insight into advertising activities, determine what works and predict what will work next using Albert's AI algorithms.
"Harley-Davidson announced that it credits 40% of its NYC sales to Albert, and global retailer EVISU will soon release results of its first year working with us, which has resulted in a 500% increase in digital advertising ROI," Shani says.
3. Citrix uses AI to predict which marketing efforts will be successful.
With enough customer data, an AI platform may even be able to predict which digital marketing efforts and prospects are the most promising.
CaliberMind provides insights about customer behavior that informs marketing decisions thanks to sophisticated artificial intelligence.
"Deep research into B2B customer buying behavior reveals that the most effective customer advocates can't be identified by title, role and function," says CEO Raviv Turner (@ravivturner).
"Rather, they fit specific psychographic and behavioral profiles. CaliberMind's is the only predictive marketing AI solution that leverages customer psychographic data to uncover new insights about customer behavior."
The tech is used by beta customers like Citrix, NetApp, Datavail, Convercent and Gusto to target and tailor their marketing efforts more effectively to generate higher sales conversions and better quality deals.
4. P&G uses AI to extract actionable insights from data.
Marketers are drowning in data. Luckily, AI can be great at sorting out the signal from all the noise. AI system PaveAI processes Google Analytics data from nearly 300 million visitors per month for customers, then turns that data into actionable written reports that surface key insights .
"PaveAI uses machine learning and data science algorithms to implement statistical models," says founder Eric Ho.
"Along with context-based knowledge, this allows us predict the value of each segment of users that visit a website. We then use natural language generation (NLG) to make these insights digestible to our businesses and customers."
5. Nestle uses AI to create better performing content.
AI is used for more than just content creation at scale. Brands are leveraging the technology to improve how and what content is created.
Acrolinx uses natural language processing (NLP) and machine learning to create content for major brands like "IBM, Microsoft, Boeing and Caterpillar," says founder and CEO Andrew Bredenkamp (@abredenkamp).
Facebook, Wells Fargo and Nestle are also customers. Acrolinx can predict content success and guide writers on how to keep content on-brand and on-target. "Our AI can learn your brand and audience goals and make sure your content is aligned with them," he says.
This functionality helps customers create hyper-targeted audiences, automate the distribution of marketing assets, and automatically optimize those assets to achieve campaign goals.
Boomtrain works with brands such as Forbes, CBS, The Onion and Chow.com to increase clicks, engagements and revenue from their content. Boomtrain's machine learning algorithms do this by surfacing content that is most likely to engage individual consumers, then delivering it in automated fashion.
"We analyze a user's behavior in real-time to track mood and compare this activity to look-alikes, much like Amazon's predictive functionality," says director of partnerships Dheeraj Sareen (@Dheeraj_Sareen).
How to get started with AI in marketing?
So, how do you actually get started with AI in marketing?
It's easy to get bogged down in courses and books that aren't actionable. It's also easy to get confused or off-track, then do nothing with AI.
But that's not the route you're going to go...
Because we've got you covered.
Our Intro to AI for Marketers Live Class is a free introduction to AI in marketing.
This recurring 30-minute live online class teaches the fundamentals of AI and show you exactly how to get started. During the class, you’ll learn:
- What AI is, and why it matters to marketers.
- How to identify AI use cases.
- How to find and evaluate AI technology vendors.
- How to classify AI applications within the five levels of the Marketer-to-Machine ScaleTM.
- What business outcomes AI can help you achieve.
- How to measure the value of AI tools on your company’s efficiency and performance.
- How to prepare your team for piloting and scaling AI.
In just 30 minutes, you can lay the foundation to transform your career and business using AI.
The course is presented live (almost) weekly, and there will be 15 minutes at the end of each session for Q&A and open discussion. It won’t be available on-demand, so be sure to register for a class you’re able to attend.
And, again, it’s completely free, so bring your colleagues, your agency, and your senior leadership.
Oh, and you don’t have to know computer science, data science, or machine learning to take advantage. You just have to understand what AI is and what it’s capable of doing.
As Chief Content Officer, Mike Kaput uses content marketing, marketing strategy, and marketing technology to grow and scale traffic, leads, and revenue for Marketing AI Institute. An avid writer, Mike has published hundreds of articles on how to use AI in marketing to increase revenue and reduce costs. Mike is the co-author of Marketing Artificial Intelligence: AI, Marketing and the Future of Business (Matt Holt Books, 2022). He is also the author of Bitcoin in Plain English, a beginner’s guide to the world’s most popular cryptocurrency.