10 Real-Life AI Marketing Use Cases and Examples

These prompts enable ChatGPT to generate tailored and creative content, streamlining our marketing efforts. We primarily use ChatGPT, an AI language model developed by OpenAI, for these prompts. ChatGPT is aware of consumer preferences, what appeals to them most, what business commercials are effective, and how to use marketing techniques to create a successful brand in any industry. This prompt is based on a template from Copy.ai, the main tool I work with.

Read on for tactical tips on how to leverage AI for things like campaign ideation, content creation, chat log analysis, and competitive intelligence. To all of my fellow marketing leaders, thank you for the ideas you contributed to this article. As we head into 2024, we don’t need to just accept the out-of-the-box use cases of AI. We can define our own uses based on real problems that will result in better outcomes for all. Imagine the return on investment when a newly hired sales rep can get the kind of just-in-time training that will cut their ramp time in half. Imagine a single source where you could ask any question and it would return the latest company data, stance, or materials.

🚀 Elevating Digital Transformations with Artificial Intelligence: A Comprehensive Guide by Digital Thakur 🚀

AI can write and test advertising copy for you on different platforms such as Facebook, Instagram, and SMS. Most marketers use some type of paid advertising and this is one area where artificial intelligence is already producing very good results. Optimizing email subject lines is one of the important AI uses in email marketing. AI is able to provide you with a great email subject line that stands out in the receiver’s inbox, stimulating them to click through. They are able to provide instant responses to customers’ inquiries and offer support and service 24 hours a day – outside working hours.

Some 46% of year-olds say they’re apprehensive about increased AI usage, making them second only to consumers ages 57-75. As a trusted authority in digital marketing, HubSpot usually sits in the front edge of the curve when it comes to new trends or innovations—artificial intelligence is no exception. Iconic brand Coca-Cola has broadened its AI marketing scope with the introduction of its very own consumer-facing AI-powered creative platform. A clear indication of how widespread AI is in our current landscape. In an incredibly short span of time following its release, ChatGPT became one of the most popular tools out there, both among the general public and marketers. That hype is still going on, with buzz going around about how marketers can harness ChatGPT and other AI content generation tools.

We foster and form long-term partnerships so that your business has long-term results.

Of course, if you’ve got more than a couple of dozen names on your marketing list, that sort of personalization simply wouldn’t be possible for mere humans to accomplish. Unlike traditional A/B testing, platforms like Evolv AI use “massively multivariate testing” to find the perfect combo from thousands of variants. And it goes even further by dividing experiments into “generations” and testing only the top-performing variants from each generation until it identifies the best possible combination. However, using artificial intelligence for content creation isn’t just about asking ChatGPT to churn out thousands of words of copy and posting it straight to your blog. Up to 36% of consumers believe retailers should strive to offer more personalized experiences — rising to 43% among households earning $100,000 annually. Yet only 12% of retail brands think they’re good at delivering personalized experiences to shoppers.

These experiences leave a lasting impression as they enhance message memorability and amplify excitement for brands. Both of these features make shopping on social media quick and easy, turning your browsing into buying with just a few taps, making it super-convenient for shoppers. You will get much closer to guiding your lead toward conversion by making sure the content in each email is aligned with your brand messaging. Remember, establishing the trust and credibility of a prospect means building each email to be sequential but also with relevant, contextualized content that can stand alone.

Thus the company determines how the same video content is received in different demographic groups over thousands of people. AI analytics allows you to test video content and have an idea of results before investing in a video effort. This opportunity to test and learn shows you a clear view of what your video content can achieve. Then, the application sends the customer to the products that they selected. For instance, AR gives the customers who shop online the chance to view the product, in the same way, they would if they were in a physical store. This allows customers to see how the product fits into their lives before the purchasing decision.

• Zeta is an AI-powered email marketing platform that helps you create and send email campaigns.
• To help you get started, we’ve compiled ten impressive AI marketing examples.
• What was once a sci-fi fantasy is now a staple in day-to-day business operations.
• When it comes to improving workflows, Leffer advises teams to first audit every discrete step in their existing processes.

A leading no-code chatbot platform, Chatfuel can be used to create chatbots in a matter of minutes. These chatbots help marketers automate FAQs and qualify leads before sending them to a live sales agent based on whether the leads are prepared to make a purchase. There are also many generative AI marketing examples that specialize in creating content for outreach campaigns, using channels like email, social marketing, or instant messaging. Using machine learning, some models can train themselves over time by analyzing user sentiment and success rates to optimize their messaging. AI can also monitor social feeds for mentions or potential PR opportunities to time outreach campaigns for maximum relevance. Combined with machine learning, AI marketing tools can train themselves to improve their marketing approach over time.

Read more about AI For Examples here.