These days, people expect content and experiences that feel tailor-made just for them. People no longer respond to generalized messages and expect brands to speak to them in the language of their needs, interests, and behavior. But it’s almost impossible to personalize everything manually, especially when the audience numbers thousands or even millions of people. And this is where artificial intelligence comes in. AI segmentation allows marketers not only to divide the audience into groups, but also to deeply understand what is really important to each user.
Table of Contents
Why Generic Messaging Isn’t Enough
Today’s consumer is a person with clear expectations, a huge choice, and minimal patience for unnecessary information. Generic messages that brands send to everyone without exception no longer arouse any interest. One-size-fits-all advertising campaigns often look like spam, especially when they are repetitive or do not take into account the interests of the customer. As a result, the company receives a low level of email open rates, clicks, and conversions. And these are direct losses: trust disappears, loyalty decreases, and money is spent on displays and mailings that do not bring results.
People expect brands to hear them: to send content that is really relevant right now and through the channel that is convenient for them. It can be a short message in a messenger, a customized email offer, or a personalized page on a website. A general approach in such circumstances is not just ineffective, but harmful to the brand’s reputation.
For example, the https://onlymonster.ai/agency tool uses AI segmentation, allowing creators to personalize their content and offer their fans highly personalized interactions at scale.
How AI Segmentation Works Behind the Scenes
Artificial intelligence doesn’t just collect data – it seems to understand it. Thanks to powerful machine learning algorithms, AI is able to analyze user behavior at a deeper level: what people watch, what they click on, how often they buy, when they are most active, and what channels they come from. All of this helps to identify recurring patterns and form precise audience segments. We have already written about 5 other ways to use AI in our previous article.
Based on this data, AI segmentation automatically groups users into narrow categories. This approach allows marketers to see not just the big picture, but specific behavioral scenarios.
As a result, you can create personalized communication chains based on who you are creating content for. One receives an email thanking them for their loyalty, another gets a special discount to come back, and a newcomer gets a welcome bonus. And all this is automated and fast. This is how AI turns complex personalization into a manageable, scalable process.
Automation Tools That Make It Practical
- ActiveCampaign is a tool for automating marketing activities. It combines email marketing, CRM, and automation, and allows you to segment users by interaction, purchase history, and even projected engagement.
- Segment is suitable for SaaS teams and data-driven marketers. The tool allows you to collect customer data from different points of contact with the business and integrate it into the marketing system in real time, providing dynamic personalization and analytics.
- ManyChat is a chat marketing automation platform that helps businesses interact with customers on Instagram, WhatsApp, and Facebook Messenger. Marketers can segment subscribers by response patterns and automate dialogs.
- OnlyMonster is a tool that allows authors and marketing teams to automatically segment fans by behavior, send welcome chains to new subscribers, customize offers for active users, and optimize daily communication.
- ConvertKit is a popular platform among solo creators and email-based businesses that allows segmentation by tags and the creation of automated email campaigns based on interests or interaction history.
- Customer.io is a platform designed for companies with a product-led growth approach and a mobile focus. The tool allows complex event-based segmentation and instant messaging. It is a great choice for drip campaigns and personalized onboarding.
- Userlist is a platform designed specifically for SaaS companies. This tool allows you to track in-app behavior and turn it into personalized onboarding and lifecycle campaigns. Userlist has a simple connection to Stripe, Webhooks, and events via API.
- MoEngage is a mobile-first platform with built-in AI that predicts the risk of churn and offers actions to engage customers. MoEngage uses AI segmentation of users by app usage, interaction with advertising campaigns, and geolocation-based behavior.
- Klaviyo is a marketing automation platform popular among eCommerce brands. The tool offers advanced segmentation by order history, browsing behavior, abandoned carts, including predictive analytics to identify valuable customers.
Pitfalls to Avoid
Even the most advanced tools can backfire if used incorrectly. That’s why it’s a good idea to read a guide before using the tool, like the one on creating images with AI.
The first common mistake is over- or under-segmentation. If every user receives a separate message every week, it starts to look like spam. As a result, people unsubscribe or simply ignore the messages.
The second critical thing is data quality. AI segmentation works as well as the input data is accurate and clean. If you have chaotic tagging, duplicate profiles, or disorganized information, the algorithms will start to get confused or give false results.
The third is the tone and content of messages. Even personalized content should match the tone of your brand and the expectations of your audience. If a person is used to a friendly style and suddenly receives a dry business message, it causes dissonance and reduces trust.
Conclusion
Personalized marketing is no longer a trend, but a requirement of the times. In a world where consumers expect an individualized approach, companies must be able to speak the language of the customer. AI segmentation makes it possible even for small teams without big budgets. The main thing is to have high-quality data, properly configured processes, and an understanding of your audience. Smart tools combined with a well-thought-out strategy allow you to create marketing that feels personal, not imposed. And it is this approach that builds trust, loyalty, and long-term relationships with customers.
Andrej Fedek is the creator and the one-person owner of two blogs: InterCool Studio and CareersMomentum. As an experienced marketer, he is driven by turning leads into customers with White Hat SEO techniques. Besides being a boss, he is a real team player with a great sense of equality.