The Real Problem with Segmentation Isn’t Tech—It’s How You Use Your Data
Lack of segmentation is often treated like a technology problem. I often hear, “If I just had better tools or better data, then I would be segmenting.” Or, “I don’t have the data to segment.”
But for better or worse, tools and data are rarely the actual problem. Most businesses already have the data they need to segment effectively, but using it correctly is often the challenge. For example, most businesses know who is a subscriber, who has become a customer, what they purchased, and when.
The issue isn’t access to data. It’s that the data isn’t being used in a way that actually impacts what gets sent. Your data should influence your segmentation in near real time.
As marketers, we often focus on revenue, missed opportunities, underperforming campaigns, and conversions. But what I didn’t fully consider until recently is this: it’s not just about sending a message someone isn’t interested in. Bad segmentation can create stress and confusion for the person receiving it.
Now you might be thinking: So what? I send the same email to everyone, I get a response, and my revenue is good. And maybe that’s true. But what if it could be better? What does not using accurate or updated data do to retention? To trust? To the feeling that you actually understand your audience?
Let me give you two examples of segmentation that could have been.
A few months ago, we were living in a rental building. Every month around the 3rd, we’d get a rent reminder that rent was due. This is a helpful reminder, especially since after the 5th there’s a late fee.
The problem? We had already paid. Every time. The building had the data. They knew who had paid and who hadn’t. But they didn’t use that data to control who received the message. These emails weren’t even automated.
Fast forward to a few weeks ago when we moved again. The moving company sent us insurance information after the move was already complete.
This wasn’t just a segmentation problem. It was a failure to use data to drive automation. At that point, the message wasn’t just irrelevant. It was completely useless. You can’t buy insurance after the fact.
In both cases, the problem wasn’t segmentation. It was ignoring what they already knew. And that creates real friction for the customer.
In the second case, it likely impacts retention. In the first, repeated irrelevant messages train people to ignore future communication.
Segmentation Isn’t About Complexity
The most impactful segmentation is often much simpler than we make it. It’s about acknowledging:
• What just happened
• What stage someone is in in their relationship with your business
This isn’t advanced. It’s basic context.
What Causes the Breakdown?
The issue isn’t that businesses don’t have the data. And in many cases, it’s not that they can’t apply it in real time.
The breakdown happens when data exists but isn’t used.
Instead, businesses:
• Set up automation once and never revisit it
• Send batch emails to everyone to avoid complexity
• Treat all customers the same, even when their situations are clearly different
Over time, that creates a disconnect. Because when your messaging ignores what you already know, it sends a clear message: You’re not really paying attention.
A Simpler Way to Think About Segmentation
If you want to improve your segmentation, you don’t need a new platform or a complex strategy.
Start here:
• What do I know about this person right now?
• What would be irrelevant or frustrating to send?
• What would actually be helpful in this moment?
Better segmentation doesn’t mean more complex segmentation. It means using data you have more intentionally, and that is just better email.