- Tension: Brands obsess over finding the right channel while ignoring the preferences customers already volunteered.
- Noise: The constant chase for new platforms and tactics drowns out signals consumers have been sending for years.
- Direct Message: The most powerful marketing strategy is listening to what your audience already said and acting on it.
To learn more about our editorial approach, explore The Direct Message methodology.
This article was originally written in 2013. It has been updated in April 2026 to reflect the latest developments in digital marketing and media. The original version featured an infographic, which can be accessed here.
You send an email. Open rates are low. So you try SMS. Engagement drops. You pivot to push notifications. Crickets. Then someone in a meeting suggests “maybe we should do more social,” and suddenly you’re A/B testing ad formats at midnight wondering why nothing is sticking.
Meanwhile, your customer filled out a preferences form fourteen months ago. She downloaded your app and turned on notifications. She has opened every single email you’ve ever sent her on her phone, every Tuesday afternoon, within forty minutes of delivery. You know this because the data is sitting right there in your CRM. You just never looked.
This scenario haunts me because I’ve lived it from both sides. During my time working with tech companies in the Bay Area, I watched billion-dollar organizations pour resources into channel experimentation while their own preference data gathered dust in databases nobody queried. And when I built and eventually sold a small consumer insights consultancy in my late thirties, the most valuable thing I offered clients was often the simplest: I showed them what their customers had already told them. Not through focus groups. Not through predictive models. Through the behavioral data those customers had left behind like breadcrumbs, waiting for someone to follow the trail.
The gap between what consumers communicate and what brands hear has never been wider. And that gap is costing you more than you realize.
The Preference Paradox Nobody Wants to Admit
Here’s the uncomfortable truth sitting at the center of modern marketing: consumers are more transparent about their preferences than ever before, and brands are more confused about how to reach them than at any point in the digital era. We have more data, more signals, more declared intent, and somehow less clarity.
The data tells a fascinating story. Back in 2013, research has shown that 48% of consumers say they prefer to interact with brands via email. That’s a direct, stated preference from nearly half your audience. They raised their hands. They told you. And yet, marketing teams continue to treat channel selection as a mystery to be solved through experimentation rather than a question that’s already been answered.
This paradox deepens when you look at the emotional side of the equation. A 2026 study by Optimove found that 60% of consumers prefer email for brand communication, yet 55% feel overwhelmed by it. So consumers are saying two things simultaneously: “Email is my preferred channel” and “You’re doing email wrong.” Those are not contradictory statements. They’re an instruction manual. The channel is right. The execution is broken.
I keep a journal of marketing campaigns that failed spectacularly. I call it my anti-playbook. The most common thread running through those failures? Every single one involved a team that chose to optimize for platform trends instead of honoring the preferences their own audience had already declared. One SaaS company I consulted with spent eight months building a TikTok strategy targeting enterprise CFOs. Their email newsletter, meanwhile, had a 52% open rate that nobody in the growth team had bothered to celebrate or expand upon. They were chasing what felt innovative while ignoring what was actually working.
The real tension is psychological. Marketing teams are rewarded for novelty, for testing new channels, for being “forward-thinking.” Nobody gets promoted for saying, “Our customers told us they want email on Tuesdays, so let’s do email on Tuesdays.” The incentive structure inside organizations actively works against the simplest and most effective strategy: listening.
When Every New Platform Becomes Another Reason to Stop Listening
The marketing industry has developed a peculiar addiction: the belief that the next platform will be the one that finally cracks the code. Social audio was going to revolutionize engagement. Short-form video was going to replace every other format. AI chatbots were going to make email obsolete. Each new wave carries with it a gravitational pull away from the fundamentals, and that pull is strong enough to make experienced marketers forget what they already know.
David Ogilvy, the legendary advertising executive, once observed: “People don’t think how they feel, they don’t say what they think, and they don’t do what they say.” It’s a brilliant insight, and it’s been used for decades to justify ignoring stated preferences in favor of behavioral inference and sophisticated modeling. But here’s where the application of Ogilvy’s wisdom has gone sideways: the solution to the gap between what people say and what they do is to observe both, not to dismiss one entirely.
What I’ve found analyzing consumer behavior data is that stated preferences, when cross-referenced with actual engagement patterns, are remarkably reliable. The customer who says she prefers email and also opens every email you send? Believe her. The customer who says he wants SMS updates but hasn’t clicked a text link in six months? Believe his behavior. The signal is there. The noise is the endless cycle of new platforms, new tactics, and new vendor pitches telling you that everything you thought you knew is obsolete.
Growing up in a small town in Oregon, two hours from the nearest mall, I developed a healthy skepticism about the idea that more options always mean better outcomes. Sometimes the small-town general store that knew what you needed before you asked was doing a better job of serving its customers than any algorithm-driven recommendation engine. That instinct has served me well in this industry. The brands winning right now aren’t the ones with the most channels. They’re the ones with the deepest understanding of which channels their specific customers actually respond to.
The distortion is compounded by the way the marketing media ecosystem operates. Every conference keynote, every industry report, every thought leadership piece (including, yes, articles like this one) creates a sense of urgency around the new. That urgency makes it feel irresponsible to double down on what’s already working. So teams chase. They pivot. They spread budgets thin across seven platforms instead of concentrating resources where the data points.
Clarity Lives in What You Already Collected
The most underused marketing asset in any organization is the preference data customers already volunteered. Before you test a single new channel, exhaust what your existing data has already revealed about how each customer wants to be reached.
This is the insight that separates high-performing marketing teams from everyone else. The answer to “how should we reach this customer?” almost always lives inside the data you’ve already collected. Preference center submissions. Email engagement histories. App behavior patterns. Purchase timing data. Click-through rates segmented by channel and time of day. The information exists. The discipline to use it is what’s rare.
Building a Practice of Listening at Scale
Turning this insight into operational reality requires a shift that is cultural as much as it is technical. I learned the hard way, years ago, that data without empathy creates products nobody wants. The same principle applies to channel strategy. Data tells you what a customer did. Empathy helps you understand why they did it and what they were hoping you’d do in response.
Start with an audit that might feel uncomfortably basic. Pull every preference declaration your customers have made in the past eighteen months. Email opt-ins, communication preferences, notification settings, survey responses. Then cross-reference those declarations against actual engagement data. Where stated preferences align with behavior, you have high-confidence signals. Where they diverge, you have opportunities for gentle testing, not wholesale pivots.
Next, resist the organizational reflex to homogenize. The insight is never “our customers prefer email.” The insight is “this segment of our customers prefers email at this frequency about these topics, while this other segment engages most through in-app messaging after purchase events.” Granularity is where the value lives.
Finally, build feedback loops that are continuous rather than episodic. Preferences change. Life circumstances shift. The customer who preferred SMS six months ago may have switched phones, changed jobs, or simply grown tired of text notifications. A preference center that gets updated once during onboarding and never again is a snapshot pretending to be a movie. Revisit, re-ask, and re-observe on a regular cadence.
The brands that will outperform over the next decade won’t be the ones that found the right new channel before everyone else. They’ll be the ones that built systems to continuously honor what their customers already said. The competitive advantage isn’t in the guessing. It never was. The advantage is in the listening, and then having the discipline to act on what you heard, even when a shinier option is calling your name from across the room.
