What Your Customers Actually Do (Not What They Say)
The gap between what people tell you and what they actually do is where most marketing strategies go to die.
You've probably experienced this yourself. A customer says they value sustainability, then buys the cheapest option. A user claims they want simplicity, yet abandons products that are too minimal. Someone insists they're loyal to your brand, then switches to a competitor offering a marginally better deal. These aren't contradictions—they're the normal texture of human behavior, and ignoring them costs companies millions in wasted effort.
The problem is that we've built an entire industry around asking people what they want. Focus groups, surveys, interviews, feedback forms—they're all designed to extract stated preferences. But stated preferences are theater. They're what people believe about themselves, or what they think you want to hear, or what they wish were true about their own decision-making. They're not predictions of behavior.
Consider the classic example: people consistently say they want healthier food options, yet most restaurants that add extensive healthy menus see those items languish while burgers and fries fly off the counter. Or look at how many people claim they'll use a gym membership, then never go. The stated preference (health) conflicts with the revealed preference (convenience and immediate gratification). The revealed preference always wins.
What actually matters is what researchers call "revealed preference"—the choices people make when real consequences are involved. Money changes hands. Time gets spent. Effort is required. These are the moments when the gap between what people say and what they do becomes impossible to ignore.
The reason this matters more than most marketing teams realize is that it fundamentally changes how you should allocate resources. If you're building messaging around stated preferences, you're optimizing for what sounds good in a survey, not what drives actual behavior. You're creating campaigns that resonate in the moment but fail to move the needle on conversions, retention, or word-of-mouth. You're essentially marketing to an imaginary version of your customer.
The shift happens when you stop asking and start observing. What do your customers actually click on? Which features do they use, and which ones sit dormant? When they have a choice between options, which do they consistently pick? What friction points cause them to abandon? Where do they spend their time? These questions have answers in your data—in user behavior, transaction history, engagement metrics, and churn patterns.
This isn't about dismissing what customers say entirely. Feedback has value. But it has to be weighted against what the data shows. When there's a conflict, the data wins. Always.
The practical implication is that your customer research should be built on a foundation of behavioral observation, with stated preferences as a secondary layer of context. You're looking for patterns in what people actually do, then using interviews and surveys to understand why those patterns exist. This inverts the traditional approach—and it's far more reliable.
There's also a psychological dimension worth noting. When you present people with choices rather than asking them to articulate preferences, you remove the performance aspect of the interaction. They're not trying to sound thoughtful or virtuous. They're just making a decision. This is why A/B testing reveals truths that focus groups never will. It's why abandoned cart data tells a clearer story than customer satisfaction scores.
The brands that win aren't the ones that best understand what customers say they want. They're the ones that obsessively track what customers actually do, then build products and experiences around those revealed truths. They know that behavior is the only honest feedback loop.
Start there. Watch what your customers do. Let that guide everything else.