Every week, I read another article about AI in marketing. They all say the same thing: use AI to automate your emails, generate fifty blog posts in an hour, and optimize your bid strategies in real-time. That’s table stakes now. That’s where the herd is running.
At Sagum, we’ve spent millions on Meta, TikTok, and Google. We’ve seen this pattern before. When a new technology emerges-the iPhone, the algorithm, the cookie deprecation-the market initially uses it to do the same things faster. That’s where we are right now with AI. Everyone is using it to create volume.
But the herd is missing the real opportunity. The market is about to become flooded with content that is technically perfect but emotionally sterile. Your customers can already smell it. They know when an ad was written by a machine that doesn’t understand their actual struggle.
The winning trend isn’t generative AI-making stuff faster. It’s interpretive AI-understanding people better. Let me explain what that actually means.
The pendulum is swinging
Most marketers use AI to broaden their reach. They feed a prompt into ChatGPT, get a generic ad script, and target a broad lookalike audience. This is the mass-market approach of the 1950s, just digitized.
The real power of AI-the trend that will separate the agencies that scale from the agencies that stall-is using it to drill down. We are entering the era of the micro-audience.
This isn’t about serving slightly different headlines to men versus women. That’s baby stuff. This is about using AI to find psychological segments that exist beneath the surface of standard demographic data.
Here is how a lean agency leverages this trend today.
1. Post-purchase empathy, not just retargeting
The most powerful data you have isn’t the click. It’s the receipt. AI can analyze your CRM data, support tickets, and customer reviews to segment not by lifetime value or purchase history, but by psychological trigger.
The old way: Everyone who bought Product X gets a retargeting ad for Product Y.
The AI way: You use a large language model to analyze the language in your reviews and support calls. You find two distinct segments:
- The aspiring experts – people who bought the tool to learn a new skill
- The frustrated problem solvers – people who bought the tool to fix a broken process
These are two different people with two different emotional drivers. AI helps you identify them. Then you generate entirely different ad creative, post-purchase email flows, and even product recommendations for each segment.
The result: You aren’t just pushing a product. You are proving you understand their specific struggle. That builds the trust required for long-term scaling.
2. The strategy of no
In our playbook, we state that a high-performing strategy outlines where we will not operate. AI is the tool to find that line with surgical precision.
Most agencies use AI to think of more things to test. We use it to think of fewer, better things to test. Here’s the process:
- We feed our custom BI dashboards-which track every data point across every platform-into an AI model.
- We ask it one question: “Given our 90-day goals, what is the statistically least likely audience segment to convert based on our current data?”
- We cut that audience. We save budget. We focus the creative team on the twenty percent of the audience that will deliver eighty percent of the value.
The trend here is strategic subtraction, powered by data interpretation. In a world where everyone is trying to do more, the smartest move is often to do less with more precision.
3. Anti-trend creative
The most common complaint I hear from clients is that their competitor’s ads all look the same. That is the sound of AI-generated creative without strategy.
Every marketer in your space is feeding the same prompts into the same tools. The result is a sea of sameness. The only way to break through is to find the gap.
Here’s the tactic: We scrape competitor ad libraries on Facebook and TikTok. We feed the transcripts into an AI analysis tool. We ask it one question: “What emotional tone is NOT being used in this market segment?”
For example, maybe every competitor uses urgency and fear of missing out, but no one uses whimsy or contemplation. That gap is your opportunity. We then instruct our creative team to lead with that missing tone. We use AI for the research-finding the whitespace-but not for the final execution, which requires human nuance.
This is how you stop looking like everyone else.
The bottom line
The AI marketing trend you should bet on is not the tool itself. It is the methodology. The agencies that win will be the ones who use AI not to replace the hard work of understanding the customer, but to accelerate it. This is what empathy at scale looks like.
We aren’t interested in writing ten thousand ad headlines in ten seconds. We’re interested in using AI to find the one customer insight that makes ten thousand people feel seen.
The leanest, most efficient path to growth isn’t doing more. It’s understanding better. Use AI to make your marketing feel less like a machine and more like a trusted partner.
That is how you gain traction, hit your goals, and scale.
