Artificial intelligence has become an undeniable part of digital marketing. One reason is recent statistics by Forbes Advisor show there are about 1.13 billion websites on the internet. Further, a new website is created every 3 seconds. That means building an online presence for a business has become a little more difficult. In an increasingly competitive world of digital marketing, using artificial intelligence (AI) to optimize marketing and engage with customers means speed and an edge over competitors. The question remains how? The answer is in supercharging your marketing strategies. This article explores how to do it with AI content marketing and examples of top companies using AI marketing strategies.
What is AI-Powered Marketing?
AI-powered marketing refers to all aspects of using artificial intelligence and machine learning to automate, optimize, and scale your marketing efforts. Through data analysis and predictive algorithms, AI can help marketers better understand customer behavior, predict outcomes, and create personalized content and marketing strategies.
AI content marketing uses AI-driven tools and software for optimally creating, curating, and distributing content. These tools assist with everything, from content discovery to performance analytics and even ad optimization.
Artificial intelligence is swiftly revolutionizing businesses through marketing intelligence. Automated marketing techniques can provide an enhanced ROI for marketers by as much as 50%. AI-powered marketing’s potential isn’t about to slow down anytime soon. By 2025, the market value projection will reach $26.63 Bn.
Using AI to Optimize Marketing Strategies
Beyond AI content marketing, these are specific AI-powered marketing strategies top companies utilize.
Personalized Product Recommendations
Personalization is a priority in today’s marketing world. Personalized experience ensures that a customer feels more than just another number in your database.
With online stores, AI can monitor customer behavior and buying patterns to recommend relevant products for customers, which can simultaneously increase customer engagement and sales.
In fact, Amazon uses its “Customers who viewed/thought about this product also looked at/bought” feature, which accounts for up to 35% of their sales, and Netflix attributes 75% of its mix to personalized choices.
With AI-powered dynamic pricing, retail businesses can balance demand and supply to maximize incomes. The goal is to set prices that can adjust with market shifts, climate, historical sales data, and order fulfillment costs.
The global giants like Uber and Delta Airlines use dynamic pricing to set prices based on supply and demand to optimize sales. AI allows businesses to set dynamic pricing by analyzing historical sales data insights and consumer demand.
Chatbots are AI-powered customer service tools that help businesses provide 24/7 support. They can answer questions and complete transactions.
AI chatbots can also examine previous customer interactions with a vast database and provide personalized responses in real-time.
The truth is creating high- quality content is time consuming. That’s why implementing AI content marketing as a strategy is beneficial.
What does it mean?
Adopting AI-powered content marketing means digital marketers and businesses can automate aspects of their content marketing.
These may be content creation, research, distribution, analysis and optimization.
Of course all these rely on various content marketing tools, which we will look at below.
Predictive Analysis and Segmentation
Predictive analysis and segmentation allow digital marketers to target specific groups and create customized and relevant campaigns.
Analytics and segmentation are not necessarily new AI-powered marketing techniques. But, currently, they have become a necessity for marketers and companies.
Think CRMs and their evolution that has made it easy to accomplish this. The best CRM software is able to run analytics from all content marketing and operational efforts of the business.
These AI-powered predictive analytics help businesses to understand a customer’s preferences and behaviors. This is how companies segment and automate messages to customers. Netflix recommends movies and TV shows through AI-powered customer segmentation.
For marketers, online optimization is always an essential element. Optimizing the website speed, structure, and SEO enhances the customer experience and reduces the possibility of website bounce rates. AI such as Hubspot AI analyzes websites and gives recommendations on how to improve them.
It can give insight into how visitors engage with website pages, including most popular pages, length of stay and at what point they leave a page.
Marketers use such AI-powered marketing optimization to adapt a webpage to the visitor’s experience.
AI Content Marketing Tools
AI offers a range of advantages for optimizing content for better engagement and understanding customer needs more quickly, but what does that look like in practice?
Well, we have talked about AI- powered marketing in strategies like customer service chatbots, dynamic pricing, sending out personalized product recommendations to customers, analysis and segmentation.
In content strategies, its use spans different AI content marketing tools that help in creation, optimization, and distribution.
In essence, it is the application of AI tools to optimize content marketing campaigns for better targeting, conversions, and overall campaign success. Many businesses and marketing professionals are turning to AI content marketing tools to help them stay ahead in the increasingly competitive digital space.
Let’s look at some examples of AI content marketing tools and their uses below:
1. Content Discovery and Creation Tools
AI-driven content discovery tools like BuzzSumo and Scoop.it help marketers find trending topics from other websites in your industry and new content ideas.
Some of these also help to research keywords to ensure the content matches people’s searches.
From there, digital marketers can curate content with the help of AI content creation tools.
Like the other tools in this list, they use AI algorithms to find relevant data.
Examples of discovery tools:
- Scoop it
Examples of creation tools:
These tools analyze social engagement and other metrics to suggest highly shareable content.
2. AI Reporting Tools
Tools like Google Analytics Intelligence and Adobe Analytics use AI to generate crucial insights about the website, its audience and their behavior.
Other examples of AI content marketing tools for reporting include:
3. AI Distribution Tools
Social media automation tools like Buffer and Hootsuite use AI to determine the optimal time to post content on different platforms for maximum engagement.
Another use is in analyzing and identifying content that will likely resonate with people at different times of the day.
Examples of AI distribution tools:
- Sprout Social
Most CRM tools, such as Phalera, double as distribution tools.
The Bottom Line
The above examples show how brands use AI content marketing and other strategies to enhacne customer experiences, engagement, increase ROI, and optimize sales.
Integrating AI-powered marketing provides more excellent results, which can improve the success of marketing campaigns- from creating, distributing to optimizing content.
Apart from using AI in content marketing, businesses can use it in other activities such as pricing, recommending products, customer service, analysis of results and segmenting audiences to increase success rates.
With businesses looking to compete globally, AI-powered marketing offers a competitive edge and speed.
Elizabeth Wakhungu is a Senior Content Manager at Lead Nicely. She has certifications in Copywriting for Conversions: How to Write Persuasive Content and Marketing: Copywriting for Social Media. In addition to her knack for content creation, she’s a bookworm, a mentor, a non-fiction wordsmith, and a self-improvement enthusiast.