Artificial intelligence has been transforming the way companies do marketing for years at this point and it will only continue to pick up the pace. If you’re not using AI in your marketing strategy yet, now’s the time to start. Below are 14 ways you can use AI to improve your marketing.
1. Chatbots
As a business owner, you know that customer service is key. And what’s the best way to provide top-notch customer service? By using chatbots! Chatbots are computer programs that can mimic human conversation, and they’re perfect for providing customer support. In fact, chatbots have already been shown to be incredibly effective; a study by Juniper Research found that chatbots are able to reduce customer support costs by up to 30%.
Keep in mind that chatbots should never be the only form of customer service you offer your customers. Different customers expect different things from customer service, and chatbots can’t provide the same level of personalization that a human can. But if you want to use AI in your marketing, chatbots are a great place to start.
2. Predictive analytics
Predictive analytics is a type of AI that uses data mining and machine learning to make predictions about future events. And in the world of marketing, predictive analytics can be incredibly useful. For example, by using predictive analytics, you can figure out which customers are most likely to churn and then take steps to prevent them from leaving. Power BI is an example of a business intelligence tool that can be used to drive predictive analytics, which can be personalized to suit the user’s needs.
Predictive analytics is being used in more and more industries, so it’s important for business owners to start paying attention. The sooner you start using predictive analytics in your marketing, the more advantage you’ll have over your competitors.
3. Natural language processing
Natural language processing (NLP) is a type of AI that allows computers to understand human speech. And in the world of marketing, NLP can be used to create chatbots, as well as to analyze customer data. For example, by using NLP, you can figure out what your customers are saying about your product on social media.
You can also use NLP to target ads; by targeting ads based on customer search history, you can make sure that your ads are being seen by people who are actually interested in what you’re selling.
4. Personalization
Personalization is another important use of AI marketing. And it’s not just about using a person’s name in an email; it’s about using data to create a personalized experience for each customer. It is particularly useful when it comes to the creation of customer personas. AI can help you to create a detailed profile of each customer, which can then be used to personalize your marketing efforts.
One way to do this is by using recommendation engines. Recommendation engines are a type of AI that use data to recommend products or content to customers. And they’re becoming increasingly common; according to a study by McKinsey, recommendation engines are responsible for 10-30% of all online purchases. If you’re not using recommendation engines to personalize the customer experience, you’re missing out.
5. Computer vision
Computer vision is a type of AI that allows computers to interpret digital images. And in the world of marketing, computer vision can be used to track customer behaviour. For example, by using computer vision, you can figure out which products are being looked at on your website and then use that information to create targeted ads.
6. Voice search
Voice search is a type of AI that allows users to search for information by speaking into a device. And in the world of marketing, voice search can be used to create more personalized customer experiences. For example, by using voice search, you can figure out which products customers are interested in and then recommend similar products.
Voice search already represents around 50 per cent of searches and its proportion of overall searches is predicted to grow rapidly in the coming years, especially as smart tech adoption continues to grow.
7. Augmented reality
Augmented reality is a type of AI that allows users to interact with digital objects in the real world. And in the world of marketing, augmented reality can be used to create more immersive customer experiences. You can allow customers to try on clothes or pick the perfect engagement ring before they make a purchase. You can also use augmented reality to create interactive product demonstrations.
8. AI for your content writing
AI can also be used to help you with your content writing. For example, there are a number of AI blog writers that can help you come up with ideas for blog posts. And once you have an idea, these tools can also help you write the post. In addition, there are a number of AI-powered tools that can help you improve your writing skills.
Bear in mind that the content produced by these AI tools is usually not flawless and requires some finessing, especially in terms of readability and SEO value, before it is ready to be published on your blog or shared as part of a content marketing campaign. Also, the AI content detectors can easily detect the AI written content so you need to make sure that the content meet the quality
9. Social media management
AI can also be used to help you manage your social media accounts. For example, there are a number of AI-powered tools that can help you schedule posts, track mentions, and analyze your followers. And by using these tools, you can make sure that your social media accounts are always up-to-date.
10. Lead generation
AI has become a useful way to help marketers generate leads. There are a number of AI-powered tools that can help you create custom landing pages and identify potential leads. These include things like chatbots, which can be used to gather information about potential leads, and predictive analytics, which can be used to figure out which leads are most likely to convert.
It is important to automate as much of your lead generation as possible using AI because this will allow you to focus on more important tasks, like closing deals.
11. Email marketing
AI can also be used to help you with your email marketing. For example, there are a number of AI-powered tools such as MailChimp and Constant Contact that can help you create custom email newsletters, track clicks, and analyze your results.
A great example of a way that brands use AI to augment their email marketing is through the use of predictive analytics to score leads. Predictive analytics can help you determine which leads are most likely to convert and then allows you to send them targeted emails.
12. Sales
AI is also starting to be used in sales. For example, there are a number of AI-powered tools such as SalesforceIQ and HubSpot Sales that can help you find potential leads, track customer interactions, and forecast sales. And by using these tools, you can make sure that your sales process is always up-to-date.
These sorts of processes are tedious and require a lot of time to do manually. AI will give you the ability to automate many of these processes, freeing up your time to focus on more important tasks.
13. Market research
AI should also be part of your market research. For example, there are plenty of AI-powered tools as useful market intelligence platforms that can help you gather information about your competitors and track customers. By making use of these, you can ensure that your marketing efforts are always up-to-date and that you are taking advantage of areas where your competitors are lagging behind, or you can update your tactics to align with industry best practices.
AI in market research is becoming more and more important, and those that don’t start to use it will quickly find themselves at a disadvantage. If you’re not using AI in your market research, you should strongly consider doing so, especially as third-party tracking regulations continue to change and evolve.
14. Machine learning
Machine learning is a type of AI that allows computers to learn from data. And in the world of marketing, machine learning can be used to figure out which marketing strategies are working and which ones aren’t. For example, by using machine learning, you can figure out which keywords are leading to the most conversions and then focus your SEO efforts on those keywords.
Machine learning is also being used to create more personalized customer experiences. By using machine learning, companies can figure out which products customers are interested in and then recommend similar products. Making use of powerful AI tools like machine learning is often made easier by bringing on tech consultants if you would like to find out more about how that works.
Conclusion
AI can help you with a number of marketing tasks, from content creation to lead generation. Not only does using AI take over much of the heavy lifting when it comes to marketing and sales, but it frees up time to focus on more important strategic and growth-related tasks.
If you’re not using AI in your marketing, you should strongly consider doing so. It will give you a competitive advantage and help ensure that your marketing efforts are always up-to-date and, importantly, that you are making the best use of your data possible.
