The digital world as we know it is quickly changing thanks to AI-powered technologies.
AI is swiftly rising to the top of the list of solutions sought after by organizations looking for novel methods to increase productivity and maximize their marketing potential.
Today, artificial intelligence (AI) is an essential part of how marketers interact with and build connections with their consumers. If you want to stay competitive in your business, you must develop novel methods to use AI in your strategy.
How can you take advantage of some of the most current AI developments, especially those that focus on automation and data gathering?
In this article, we go over how businesses can use AI for marketing with the help of a few experts.
Enhance Your Campaign Optimization Strategy With AI
The most crucial thing you can do is use a direct interface with Google Ads to automatically qualify leads and convert them into sales.
If your AI solution is directly connected to Google Ads, Google Ads will know which keywords and ad creatives generate calls as well as which of those calls results in a hot lead or paying customer.
On the keywords or creatives that really generate money and not simply calls or clicks, Google Ads can bid more intelligently in this manner.
You may more efficiently utilize your advertising budget by focusing your expenditure on the most qualified leads, which will increase your return on investment (ROI).
This is particularly useful if your advertising budget is constrained.
Supporting Research
Aliza Naiman, marketing manager at Olgam Life shares: “The research takes exactly as much time as creating the article itself.
Research may take hours of valuable time, from finding reputable material to organizing it into what will ultimately be an outline. This is particularly true for solopreneurs like independent contractors.
Perhaps this explains why some freelancers claim that using AI technology to help with research was their favorite part of using this technology.”
What precisely does this look like?
You and your employees may gather information, papers, and notes in one location with the help of AI research tools like Bit.ai.
Whether you are collaborating locally or remotely, it also offers live collaboration.
Take it a step further with Semantic Scholar, an AI tool database that allows you to swiftly browse, bookmark, and even get alerts on research articles based on keywords, author names, or even general themes.
Helping With Data Reporting is beneficial in a variety of ways. But when you have too much of it, it might be intimidating to attempt to digest it and then put it to good use.
Just picture how intimidating it would be if there were dozens or even hundreds of customers.
For business owners or in-house marketers that either have a smaller client list (freelancers) or an internal reporting suite (in-house marketers), it is often not an issue.
That is probably the reason why none of those groups included “helping with reporting” as a use for AI.
The second-highest use case for AI, after editing support and schema development, was highlighted by agency marketers as reporting.
Real-Time Customer Engagement
Carl Jensen, co-founder of Compare Banks states: “Chatbots using AI may be used by marketers to interact with customers in real-time.
A company’s website or social media pages may utilize chatbots to react to consumers right away and provide personalized suggestions based on their previous experiences with the business.
This may contribute to a more smooth and pleasurable customer experience, which can enhance engagement and loyalty.”
Matching Content Creators’ Visions With Brand Visions
To produce content that connects with customers today, identifying the appropriate creator is essential.
Marketers may utilize AI to link brand ideas with the ideal producers while also better contextualizing content, understanding audience interest clusters, and anticipating viewer reactions.
Brands may use AI to smoothly advance key performance measures and provide memorable experiences for viewers.
Responding to Difficult Client Questions
Isla Sibanda, owner of Privacy Australia shares: “Chatbots are now the finest approach to leveraging artificial intelligence in marketing.
Even if they do not fully comprehend the queries that users are asking, many modern chatbots can provide outstanding multiple-choice questions and answers.
Customers gain from a better response and experience, while the company wins from not having to actively manage chat platforms.”
Identifying (And Filling) Informational Content Gaps
Giving clients the information they need is key to establishing a strong first impression.
When customers are searching for information, content gaps—gaps in the information that is already available—can be imaginatively discovered using artificial intelligence.
AI can assist marketers in identifying these gaps and then producing content to close them.
Individualizing Emails
Rhett Stubbendeck, CEO at LeverageRx shares: “Email customization may not seem very inventive, but given the value of the email channel as a means of connecting with clients, we think AI will revolutionize email marketing.
Marketers can automate personalization across content, pictures, subject lines, calls to action, and more by merging machine learning with business firmographic and contact data.”
Predicting churn and engaging customers intelligently
Disengaged consumer groups that are poised to depart or switch to a rival may be found using machine learning techniques.
These AI-powered solutions may assist with data collection, the creation of predictive models, and the testing and validation of those models on actual clients.
That information may reveal the person’s current stage of churning.
While it might be challenging to re-engage quick-churn consumers (those who stop using a product soon after beginning to use it), late-churn customers (those who have a long-term engagement with your brand) can be encouraged to continue using your product.
Automatically recognizing images
You may have noticed how proficient Google Photos has become at identifying people and objects if you’ve lately used the service. Software has recently developed into a superhuman at identifying individuals, with an accuracy rate of above 99%.
Image identification driven by AI is being used by major firms like Amazon, Facebook, and Pinterest to recognize individuals and objects in pictures and videos.
Customizing the content experience for visitors to your business now has a major new layer thanks to data collected through in-store face recognition.
You can build and send even more focused one-on-one communications by knowing how the customer purchases. Software for facial recognition may also be utilized as a monitoring tool, allowing you to monitor the offline return on investment of your online marketing.
