Today, a lot of companies are using AI for successful marketing strategies. It optimizes campaigns in real time through dynamic pricing, predictive analytics, and personalized ad experiences.
In this article, we discuss the core strategies you need to boost your return on investment (ROI), drive customer engagement, and stay ahead of the competition. We explore how automation, data-driven decision-making, and personalization are transforming the marketing landscape.
Just like internet speed in the 1990s and 2000s, the journey of AI and marketing hasn’t been easy. What started as simple automation tools has evolved into systems that can access various touchpoints and crunch a ton of data.
Some of them are in this graph below:
Let’s look at some factors you can focus on in 2025 to get you closer to that winning edge:
It’s not the 1900s anymore. According to PR Newswire, digital marketing alone is growing at a compounding rate of 13.9% each year. That’s a lot!
The more it grows, the more your audience is exposed to ads, email campaigns, landing pages, and social media posts. Without personalization, these start to sound and feel the same as everyone else’s.
Do you think consumers don’t care about personalization? Not according to several studies, look:
And the last thing you want is for all your efforts to go to waste simply because everyone else is doing the same thing.
That’s where personalization at scale comes in.
So how can you implement this?
Let’s talk music. We all know how difficult it can be to find music similar to the artists you really like, right? Spotify uses machine-learning algorithms to build custom playlists for its customers. This information isn’t public, but Spotify probably uses data such as the artists you follow, which songs you listen to on repeat, and the most common genres you search for. The advantage is that each customer gets personalized recommendations.
Now, imagine applying this to your marketing efforts. You could have an ad with the same angle and call-to-action (CTA) but a custom-tailored hook and transitions. It can talk to each member of your audience using their interests without feeling overly intrusive. The result? Higher engagement and a more memorable experience for your customers.
AI platforms can now pull and analyze data from multiple sources that once required months of coding to integrate.
Age and gender are too basic nowadays. AI allows you to pull cultural context, language, voice (for those targeting B2B), and regional behavioral nuances.
This involves analyzing browsing history, click patterns, and social media interactions.To improve user experience, leveraging data analysis allows businesses to better understand customer preferences and behaviors.
There are tools like Magic Feedback that can use sentiment analysis on voice and text to gauge customer moods. Imagine adapting your response 1:1 based on the mood of your lead or customer without having to physically take part in the conversation.
In most markets, the best customer is a customer who has already bought something from you. That’s why it’s much easier to sell to an already hot audience than it is to a cold one.
With AI, you can now examine previous purchases, average spend, and seasonal trends. Depending on privacy settings, you can also tap into affiliate networks or loyalty programs to understand lifestyle patterns.
If you don’t want to deal with potential data privacy concerns, you can also use AI to see what your competitors are doing and then model and improve on that.
For example, in the fashion industry, Unspun is using AI to create custom jeans via 3D body scans. Not only are they reducing waste, but they’re differentiating themselves from typical jeans stores.
They also ask their potential customers to complete their welcome survey before proceeding to the 3D body scan:
Imagine launching an ad that includes messaging, imagery, or offers based on who is viewing it at that very moment. In 2025, this isn’t science fiction—it’s reality:
Here are some ways you can implement real-time customization in your ad campaigns.
With AI in marketing today, you no longer have to set fixed pricing or manually update product systems and Excel sheets every time you want to run a campaign. Here are some dynamic pricing features AI helps you elevate things you can do with AI:
One of the best improvements in AI is the ability to make split-second decisions. Let’s face it: Using actionable insights, maths, and heuristics to make decisions in seconds compared to hours battling it out in meetings can be exhausting.
Here’s what you can do:
Here’s an example from Amazon on how they use a Large Language Model (LLM) to dynamically change a product title to better match what the customer wants and their search history:
This is an example of how Facebook Meta uses AI to improve ads on the fly:
AI-powered chatbots have evolved far beyond simple scripted responses. Today, they serve as the frontline of customer service, providing not only efficiency but also a human-like touch.
Some key features of AI chatbots include:
They’re always available, even if you’re sleeping or your customer support team is on a break. They ensure that visitors and customers receive immediate assistance. They can give a first answer, respond to simple questions, or fix easy problems and send harder ones to your support team. This reduces wait times, keeps your customers engaged, and reduces bounce rates.
Screenshot provided by the author
Advanced natural language processing (NLP) allows chatbots to understand and resolve common inquiries. An AI chatbot that uses sentiment analysis can change how it sounds depending on how a customer feels. This helps make the conversation more understanding and caring. They can also redirect to specific FAQs or video tutorials you’ve already made.
Chatbots can guide customers through the buying process. They can make recommendations and suggest add-ons or upsells based on browsing history. They can even offer live assistance when they detect frustration or hesitation.
Here’s an example: A luxury online fashion retailer can use its chatbot to suggest outfit combinations. This can lead to faster conversions. Now, imagine using this while partnering with another company that’s in the dating niche, targeting men. They help their clients get dates, and you’ll help their clients get a second date by dressing correctly. It's a win-win for everyone.
Some systems now predict customer needs before a question is even asked. Chatbots can use tools from other plugins to watch how people behave in real time, like when they spend too much time on a product page. Then, they can offer discounts or give more information about the product to help them out.
Here’s a real-life example from Henry Meds on how they’re using AI in marketing to design diet plans:
To promote "The Ultimate Guide to Designing a Semaglutide Diet Plan," AI-driven personalized content can tailor your marketing strategy's messages to users based on their browsing habits, interests, and health-related searches, increasing relevance.
Finally, AI analytics can continuously track user engagement and customer feedback, allowing for campaign adjustments and maximized ROI.
It’s important to know which AI strategies you should implement and which tools to use. The plan — and execution — that are right for someone else may not work for you.
So, let’s take a brief look at how you can make the most of AI, regardless of whether you’re a solopreneur or a larger brand.
Go over your customer data, such as your CRM and website analytics.
Make sure everything is clean and integrated. Check if your ad campaigns are already performing well and which could benefit from AI-driven optimization.
Unless you’re a developer, tech is probably boring for you. But try to fight the urge to start integrating AI before knowing your systems, apps, and tools. Otherwise, you’re in for a long haul of trial-and-error to fit everything together — and that’s going to cost you a lot of time and money.
Now, it’s time to choose the right tools. Whatever you choose, consider the complexity. The longer it’s going to take you to integrate and set up, the more future-proofing you want. So, even if you’re not running Facebook or Google ads at the moment, it wouldn’t hurt to choose tools that can integrate with those platforms, too.
Examples include AdEspresso and WordStream.
DataFeedWatch is another you can use, an AI product feed management solution that provides instant results. With the click of a button you can:
If you’re a solopreneur, you’ll probably want something that’s straightforward to use. For larger companies, apps with API endpoints are typically the way to go for maximum flexibility.
Don’t forget that with most tools, you’ll need to think about analytics, logs, and scalability. The last thing you want when dealing with banking, customers, or advertising problems at scale is realizing you don’t have the necessary data to make decisions or adjustments because you don’t have access to analytics and logs that give you a complete picture.
Using AI in marketing can incur additional costs, especially if these tools charge based on usage. Like any other marketing change, it can also be blinding by boosting specific metrics without considering the long-term effects.
So consider asking yourself things like:
KPIs and their overall insight can help you track which AI strategies are actually working.
Here are some essential KPIs to monitor:
Here’s a screenshot of Hyros’ dashboard:
AI and marketing are no longer a “someday maybe” thought process. They’re here, and together, they can make us better marketers while creating more and happier customers. They can boost efficiency, improve customer satisfaction, and increase ROI.
While there are challenges with data quality and ethical considerations, it is up to you and us to use these tools responsibly. This way, we can stay ahead while mixing AI with human creativity and feelings.