Across all business functions, marketing stands to benefit the most from the use of artificial intelligence (AI). But with the rapid rise and adoption of predictive and generative AI technologies, we’re past the stage of wondering about the potential of AI marketing.

Brands are already harnessing the power of AI marketing tools for advertising, content, customer service, customer experience, and customer engagement, adding more technologies to the mix every day. In fact, the majority of marketers (61.4%) say they’ve leveraged AI to support their efforts and 88% say their organizations should step up their use of AI and automation to better meet customer expectations and gain a competitive advantage.

What Is AI Marketing?

AI marketing is the use of artificial intelligence and machine learning (ML) to automate or advance a range of marketing tasks, such as marketing analysis, content creation, and campaign optimization. Brands use AI marketing platforms to save time and money, improve campaign performance, and generate more revenue.

AI Marketing Use Cases

Most marketers say they use AI for their company’s paid advertising and personalization efforts. Other top use cases include using AI:

• To generate product recommendations

• For predictive analytics

• To improve segmentation

• To determine the best time to send marketing campaigns

9 AI Marketing Examples

With the steady stream of buzz about AI in marketing, it can feel overwhelming to keep up with all of the potential applications for artificial intelligence in the field. Here’s a comprehensive list of the top ways brands are leveraging ML and AI marketing solutions to better understand, connect with, and engage customers.

1. Generating marketing campaign copy.

Companies across industries are tapping generative AI technologies, like our ChatGPT-powered AI Copywriting Assistant tool, to get new messaging ideas for their campaigns.

2. Automating the creation of marketing campaign visuals.

Brands are using AI Image Generator technology solutions to instantly develop new campaign assets.

3. Powering real-time campaign marketing optimization at scale.

From the time of day a campaign gets sent to the channels used, there are countless ways to enhance your marketing outreach. AI is automating each of these steps, freeing up marketers to take care of other tasks and speeding up time to optimization and ultimately enhancing results.

4. Predicting customers at risk of churn.

Machine learning is able to gain insights from past customer behavior and identify warning signs of similar activity as it’s happening. That’s invaluable for helping brands re-engage potentially lapsing customers before they’re gone. For example, with this kind of tool, brands can:

• Send promotional offers and discounts to users who are at high risk of churning to entice them to make a purchase.

• Remind medium-risk users of the value of their product or service by sending personalized month-in-review emails.

• Save money on paid ad spend by excluding users who are not at risk of churning from retargeting campaigns.

5. Identifying customers’ likelihood to purchase.

In addition to pinpointing customers at risk of churn, AI can also be used to predict your brand’s best spenders, enabling you to tailor marketing outreach to drive upsells, repeat purchases and lifetime value.

6. Generating marketing reports.

Beyond creating images and marketing copy, generative AI can also be tapped to produce insightful dashboards and reports that might otherwise take up valuable team member time to put together.

7. Creating personalized recommendations.

AI can help uncover the best products, services and experiences to suggest for each individual user, fueling marketing personalization efforts and driving future purchases.

8. Faster review of marketing materials.

Save time and inspire confidence with quality checks of your brand’s campaigns that leverage AI to review your materials for typos, issues with tone and grammar, and use of insensitive or offensive language.

The use of AI and automation helps and enables companies better meet customer expectations and gain a competitive advantage in their respective industries.