I’m a marketer, and I use machine learning every day.
And honestly, if you want to be the best at your job, you Learning in Marketing [2025] should be on top of how AI can be applied to your work.
(And I swear I’m not just saying that because I work for an AI agent company.)
In my humble opinion, marketing is one of the most fruitful areas for applying AI. It’s full of data, analytics, tricky predictions, confusing human behavior – it’s special lead perfect for bringing in a second kind of intelligence.
Adding machine learning in marketing tasks can look like platform add-ons, enterprise chatbots, or even more complex LLM agents.
Let me take you through the basics of how to add machine learning to your day-to-day marketing tasks – and hopefully 10x your outcomes – including the tools that can get you there.
What is machine learning in marketing?
Machine learning in marketing refers to the use of Learning in Marketing [2025] algorithms that learn from data to automate, optimize, and personalize marketing efforts.
Instead of relying solely on human intuition or rule-based what is the trade term cmr? this article will help you understand road transport documents logic, machine learning models analyze large datasets to uncover patterns, predict outcomes, and make data-driven decisions at scale.
Why use machine learning in marketing?
Machine learning takes the guesswork out of marketing by showing you what actually works, based on real data.
When buoyed by AI, marketing teams can analyze more data, experiment more granularly, and expedite daily workflows.
When intentionally applied, AI can allow a 2-person Learning in Marketing [2025] team to do the work of 10 people.
Examples of How to Use Machine Learning in Marketing
Chatbots and conversational AI
When you think about it, most chatbots fall under the broad category of ‘marketing’.
We’ve deployed hundreds of thousands of chatbots — global seo work and most of them are for AI lead generation or they’re customer support bots.
But conversational AI can handle almost anything, both Learning in Marketing [2025] internal and external. Our marketing team uses bots and AI agents to:
- Analyze competitor websites and provide competitive intelligence
- Send personalized follow-up emails
- Analyze product signals to suggest who is prime for an upgrade