AI has recently been in talks and it's no lie that it’s revolutionizing industries like never before, especially marketing. Call it peer pressure or not, AI has been in conversations and you, as a marketer, are probably looking for AI marketing trends that you could know about. Let's look into some of those in this article.
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6 AI marketing trends to watch out for
Be it social media, ads, or marketing analytics, AI is everywhere these days. Wondering what's on trend these days? Here's a list of AI marketing trends that you should definitely keep a close watch on.
1. Predictive analytics for better decision-making
With AI, it's now possible to forecast user behavior in the future. How does it happen? Well, AI is capable of collecting big sets of data from websites and apps that it can use to predict future actions of the user. AI basically helps to find patterns in users’ activities. This data further helps to predict the future behavior of users and in optimizing advertisements and offers.
Deployment of AI in analytics can also help see the data that humans are not capable of seeing. For instance, a retail company can use predictive analytics to analyze customer purchase history, demographic data, and online behavior to predict which customers are most likely to make repeat purchases. With this information, they can then create personalized marketing campaigns that target these customers with relevant offers, promotions, and product recommendations.
Let's take Levi as an example. Levi uses AI to make better decisions for pricing and shipments. Using AI and automation in data has made it easy for them to personalize, make informed pricing decisions, foresee demand etc.
The company makes use of machine learning that automatically recognizes patterns in data and statistics and makes predictions.
Tools that offer AI-based predictive analytics for better decision making are:
2. Video creation and production
More and more brands are choosing AI as their video generation partner to save time and costs. From creating avatars, to writing scripts, to making edits etc, AI is giving businesses the opportunity to produce huge amounts of content in a shorter period of time while reducing costs of producing videos which includes hiring actors or anchors, writing scripts, making edits, transcribing etc.
There are several tools that are available these days to create video content. AI tools like vidyo.ai aids in creating short form video content from your long videos.
analyze raw video footage and automatically edit it into a finished product using AI-powered algorithms. The platform can detect and remove unwanted content, stitch together shots seamlessly, and even add music and captions.
detect and recognize faces in video footage and analyze their emotions and expressions. This feature can be used for applications such as customer feedback analysis, market research, and video-based customer service.
transcribe audio content into text, making it easier to search and analyze video footage. This feature can be useful for applications such as closed captioning, subtitling, and content indexing.
analyze the content of video footage and extract insights using natural language processing techniques. This feature can be used for applications such as sentiment analysis, topic modeling, and keyword extraction.
Here's how AI is transforming video creation and production:
Back again with an AI short film made in less than 48 hours.— Next on Now (@next_on_now) May 3, 2023
From concept to script within a few hours. The bulk of the process this time around was generating consistent imagery as well as good old editing.
The future is here. #aicinema
AI Tools used: @runwayml… pic.twitter.com/9PzSLnITQL
In the pre-production phase, AI can assist with tasks such as scripting, storyboarding, and planning. AI-powered tools can analyze existing content and suggest storylines, identify relevant visuals and audio, and even generate automated scripts based on keywords and themes.
During the production phase, AI can be used to automate various tasks such as camera operations, lighting, and audio recording. For example, AI-powered cameras can detect and track faces, adjust focus and exposure automatically, and even recommend camera angles and shots based on pre-set parameters.
In the post-production phase, AI can assist with tasks such as editing, color grading, and sound mixing. AI-powered tools can analyze footage and suggest edits based on pre-set templates, match color and lighting between shots, and even identify and remove unwanted background noise.
After the video is completed, AI can assist with its distribution and promotion. AI-powered tools can analyze audience behavior and engagement with the video, suggest distribution channels and target audiences, and even optimize the video for different social media platforms and devices.
Overall, AI can help streamline and automate various aspects of video creation and production, saving time and resources while improving the quality and effectiveness of the final product.
Related guide: AI in Marketing: 10 Real-Life Examples and Use Cases
3. Better audience-segmentation
In the past years, marketers have faced hurdles in implementing impactful audience segmentation strategies. Cost of customization and lack of rich data on customers are the reasons. The traditional persona building is vague and does not help with the ‘why’ a customer is doing something. However, with the rise of AI, companies are now able to overcome these issues to some extent.
Today, AI is helping companies with hyper-segmentation of their audience. Combining data collected from the customers, AI can generate richer insights of every single buyer. It helps in analyzing not just the quantitative but also qualitative data i.e., the sentiments and personality of the customer.
For example, Coca-Cola used AI Algorithms in 60 vending machines in Newcastle, Australia. AI understood the transaction pattern of each machine and came up with suggestions that could help upsurge each machine’s revenue. By stocking the right products at the right place, Coca-Cola saw an increase of 15% in transactions and the requirement for restocking visits decreased by 18% for all the vending machines.
To try this out for yourself you can try Symanto , an AI-powered platform, helps brands understand their customers better by providing sentiment analysis, emotion detection, psychographics and topic detection. Several tools like Symanto ai today are helping businesses make informed decisions by providing better audience hyper-segmentation.
Related guide: How to Build an AI Marketing Strategy From Scratch
4. Integrating AI with AR and VR
Augmented and virtual reality has been very popular since the past few years but how does AI make it any better? These three terms are something that should be in every marketers’ dictionary because brands like snapchat, nike, adidas are already incorporating them to market their products.
AR and VR help the marketers engage, teach and communicate with customers. AI are being immersively used with AR and VR in the following use cases:
- Virtual Assistants: Virtual assistants are being used by brands to help them shop better with the help of AI and VR. Apart from shopping experience, VAs are being used as a health worker by WHO, named Florence,which asks a series of interactive questions and provide guidance on stress management, how to eat healthy, be more active, quit tobacco and cigarettes and COVID-19 vaccines.
- Avatars: To make experiences much realistic and engaging, marketers are making use of digital avatars to respond more naturally to users, driving better user experience.
Sephora, the cosmetics retailer, has integrated AI with AR and VR to create a virtual try-on experience for customers. Sephora's virtual try-on feature uses an avatar that can mimic a customer's facial expressions and skin tone, allowing them to see how makeup products would look on their own face.
The avatar is powered by AI, which analyzes the customer's facial features and skin tone to provide personalized recommendations and product suggestions. Customers can also use the virtual try-on feature to experiment with different makeup looks and styles in a realistic, immersive environment.
By integrating AI with AR and VR using avatars, Sephora has created a highly engaging and personalized marketing experience for its customers. The virtual try-on feature has increased customer engagement and sales, with customers spending more time on the Sephora website and purchasing more products as a result.
Overall, integrating AI with AR and VR using avatars can provide a unique and engaging marketing experience for customers, while also offering personalized recommendations and product suggestions based on their individual preferences and needs.
Through @gucci 's app, users will be able to create their own Genie and shop directly to purchase Gucci digital goods so their avatars can rock the latest looks, right off the runway 👜 pic.twitter.com/2v6UN7pCaZ— GENIES (@genies) October 20, 2020
- Chatbots: Chatbots are not new but they have become increasingly popular because of human-like conversation through AI. Countless brands have been including AI chatbots. Brands like Starbucks use AI chatbots to better assist their customers in finding and choosing products.
Starbucks' AI chatbot is called "My Starbucks Barista" and is available on the Starbucks mobile app and through voice-activated devices such as Amazon's Alexa and Google Home.
➡️ To use the chatbot, customers can open the Starbucks app and click on the chat icon to start a conversation with My Starbucks Barista.
➡️ Customers can then place an order using natural language, such as "I want a tall latte with almond milk and two pumps of vanilla syrup."
➡️ The chatbot uses AI to understand the customer's order and can also make recommendations based on the customer's past orders and preferences.
➡️ Once the order is placed, the chatbot provides an estimated pickup time and allows the customer to pay using their Starbucks Rewards account or a stored credit card.
➡️ Customers can also use the chatbot to check their rewards balance, reload their Starbucks Card, and find nearby Starbucks locations.
➡️ My Starbucks Barista can also provide personalized recommendations for food and beverage items based on the customer's order history and preferences.
Overall, Starbucks' My Starbucks Barista chatbot is a convenient and personalized way for customers to place their orders and access their rewards, all through a simple and intuitive chat interface powered by AI.
Related guide: 10 AI Tools for Small Businesses to Make Teams More Efficient
5. Advertising with AI
AI is helping companies generate ads that are personalized, much more likely to convert and optimize ad performance and budget. Let's take a look at this example of Pepperoni Hug Spot. The Pepperoni Hug Spot Ad was created completely using AI. It analyzed thousands of ads and social media posts. The script for the ad was written solely by ChatGPT-4, the images were created by Midjourney, even the music was generated by an AI tool and the finished ad looks like this ⬇️
AI-driven advertising tools like Adext helps brands optimize and experiment various ads in real time while another AI-tool called Phrasee is helping brands like Wowcher to decrease their cost-per-lead by 31% for their social media campaigns. Read their full case study here.
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6. Voice search optimization
AI-powered voice search optimization is a future trend in the marketing industry, particularly for brands that want to stay ahead of the curve and provide personalized and convenient experiences to their customers.
Here are some ways AI-powered voice search optimization is shaping the future of marketing:
Personalization: By using AI algorithms to analyze user behavior and preferences, voice assistants can provide personalized search results and recommendations. This allows brands to provide a more tailored and relevant experience for their customers.
Convenience: With voice search, customers can easily and quickly find the information they need, without having to type on a keyboard or navigate through a website. This makes the search process more convenient and efficient.
Accessibility: Voice search allows people with disabilities or those who have difficulty typing to access information more easily. Brands that prioritize accessibility in their marketing efforts can demonstrate their commitment to inclusivity and social responsibility.
Innovation: AI-powered voice search is a cutting-edge technology that is still evolving and improving. Brands that invest in voice search optimization can demonstrate their commitment to innovation and staying ahead of the curve.
Moreover, AI is an integral part of voice search optimization in Siri, Alexa, and Google Assistant. Here are some ways AI is integrated with voice search optimization:
Natural Language Processing (NLP): AI-powered natural language processing is used to understand the meaning and intent behind spoken words. This allows voice assistants to accurately interpret user requests and provide relevant results.
Machine Learning: Machine learning algorithms are used to analyze and learn from user behavior and preferences, allowing voice assistants to provide personalized and relevant search results over time.
Contextual Awareness: AI algorithms can analyze contextual factors such as location, time of day, and user history to provide more relevant and personalized search results.
Predictive Analytics: AI-powered predictive analytics can analyze user behavior and preferences to anticipate and provide relevant search results before users even make a request.
Related guide: 10 Free and Paid AI for Marketing Courses to Upskill Your Career
What's the future of AI marketing
AI in marketing is still not perfect. However, it is evident that AI is helping a lot of businesses generate solid results and automating a lot of tasks. If you are a marketer and you are already familiar with the AI trends and tools, it's pretty obvious that you are ahead of the curve. AI will sooner or later make way in your marketing strategies and you will have to incorporate it into your daily tasks.
Just launched: an agent specifically designed for research.— David (@dzhng) April 17, 2023
Using a modified babyagi architecture by @yoheinakajima & AutoGPT
- podcast script from latest news
- market research report
- new github repos trending on hacker news
Live now on https://t.co/tyAraqL0cH pic.twitter.com/FvQzNj1uIo
Another AI tool, AutoGPT still in development, is a close brother to ChatGPT. It is capable of performing complex market research, building websites, writing emails and generating business plans autonomously. But what's the difference between ChatGPT and AutoGPT? While Auto-GPT can function without the intervention of humans, ChatGPT requires detailed prompts to complete tasks. Auto-GPT is built on ChatGPT’s framework but has the ability to make decisions on its own, a feature that is not yet present in ChatGPT.
For example, if you were to organize a party using ChatGPT, you would have to give it prompts for decorations, food and invitations separately. However, AutoGPT would organize you a party without you giving it several prompts as it is a self-prompt program.
Also, Auto-GPT requires programming knowledge to use, while ChatGPT can be used by anyone with an internet connection.
So, we can understand how automation will be the key to marketing success.
In this article, we have seen AI make predictions, create content, understand the audience, AI in AR and VR, advertising and voice search. All of these AI marketing trends are here to stay. Marketers need to adapt with this AI revolution as this could be a transformation that was needed to save time and money.
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