Latest / The Marketing Career Podcast with Fexingo: Marketing Jobs, Skills, and Career Growth / How Marketers Master The Art of Contextual Relevance
Transcript
- Lucas: Let’s talk about the difference between being relevant and being intrusive. Because right now, as we sit here in early October twenty twenty-six, most marketers are conflating the two. They think if an algorithm knows what you bought last Tuesday, it can predict what you’ll buy on Friday. And often, that assumption is costing them trust. Luna: It’s the classic overreach. I saw a campaign last week from a major apparel brand that recommended winter coats to a customer who had just returned a heavy parka three days prior. It wasn’t personalized; it was just loud. Lucas: Exactly. That’s noise, not signal. The real shift happening in top-tier marketing teams isn’t about better segmentation anymore. It’s about contextual fidelity. You’re no longer just targeting a demographic; you’re targeting a moment. And getting the moment wrong is far more expensive than missing the demographic entirely. Luna: So you’re arguing that the skill set is moving from audience definition to situational awareness? Lucas: Precisely. Let’s look at Spotify. They don’t just serve you music based on genre preference. Their 'Discover Weekly' works because it aligns with your daily routine. If you listen during your commute, the playlist reflects energy levels suitable for driving. If you listen late at night, it shifts toward ambient or slower tempos. That’s contextual relevance. It’s not just data; it’s empathy encoded in code. Luna: But empathy encoded in code still relies on surveillance. How do we reconcile that with the growing consumer pushback against tracking? Lucas: That’s the tension. Spotify operates on a first-party data moat. Users opt in because the value exchange is clear. But most retailers don’t have that luxury. They’re scraping third-party cookies and hoping for the best. Let me give you a concrete example from earlier this year. A mid-sized home goods retailer launched a hyper-targeted email campaign based on browsing history. They achieved a forty percent open rate. But conversion dropped by twelve percent compared to their generic newsletter. Why? Because the timing was off. They sent a promotion for garden furniture on a rainy Tuesday in Seattle. Luna: Right. The data said they wanted it, but the context said they couldn’t use it. So the message felt out of touch, even if it was technically accurate. Lucas: Spot on. The marketer looked at the click-through data but ignored the environmental variable. In today’s market, ignoring weather, local events, or even device type—like whether someone is on a train with spotty Wi-Fi—is a rookie mistake. Top performers are building 'context layers' into their strategies. They’re asking, 'Is this the right time, place, and mood for this message?' Luna: And that requires a different kind of talent. Not just copywriters or analysts, but people who understand human behavior in real-time scenarios. Lucas: Which brings us to the career implication. If you’re a marketer relying solely on demographic profiles, you’re becoming obsolete. The value is shifting to those who can integrate real-time signals. Think about Amazon. Their 'Buy Now' button isn’t just a transaction tool; it’s a contextual trigger. It assumes you’ve already done the research, you’re ready to commit, and friction is the enemy. When Amazon optimizes for that specific psychological state, they win. When other retailers try to replicate that without understanding the underlying intent, they fail. Luna: So the lesson is that relevance is dynamic. Static audiences are dead. Lucas: Dead and buried. The question for you listening is: are you auditing your campaigns for contextual drift? Or are you just optimizing for volume? Because volume without context is just wasted budget. Luna: I’d add that it also changes how you measure success. Open rates and clicks are vanity metrics if the context was wrong. Lucas: Absolutely. You need downstream metrics. Did the context drive a purchase? Did it drive engagement? Or did it drive annoyance? Annoyance is the silent killer of brand equity. And it’s hard to track until it’s too late. Luna: Speaking of tracking, before we dive deeper into how to build these context layers, I want to pause for a moment. If these conversations about marketing strategy and career growth have sparked ideas you’ve actually applied in your work, consider supporting the show. Listener support is what keeps Fexingo independent and ad-free. You can help us keep producing deep-dive episodes like this one by visiting buy me a coffee dot com slash fexingo. Any contribution helps sustain the quality of our analysis. Lucas: Yeah, it really does. We appreciate every bit of support that lets us dig into these nuances without chasing clicks ourselves. Thanks for considering it. Luna: Back to the topic at hand. Let’s get practical. How do you actually start building a context layer into your workflow tomorrow morning? Lucas: Start small. Pick one channel. Email is usually the easiest entry point. Instead of sending a broadcast at nine AM EST to your entire list, segment by timezone and send based on local opening hours. If you’re a B2B service, send on Tuesday mornings when decision-makers are clearing their inbox. If you’re a consumer brand, send on Sunday evenings when people are planning their week. These aren’t revolutionary tactics, but they respect the recipient’s context. Luna: That sounds simple, but most brands are too afraid to lose control of the schedule. They want one big blast. Lucas: Control is an illusion anyway. The internet doesn’t care about your schedule. It cares about attention. Attention is fragmented. Your job is to find the fragments and fill them with something useful. Which leads me to the technology stack. You don’t need a massive AI team to do this. Most CRM platforms now offer basic contextual triggers. Time of day, location, past behavior, device type. Use what you have. Don’t wait for the perfect tool. Luna: So it’s less about new tech and more about disciplined application of existing tools. Lucas: Exactly. Discipline is the scarcest resource in marketing right now. Everyone wants the next shiny object. But the marketers who are thriving are the ones who are rigorously testing small contextual variables. They’re A/B testing send times, subject lines based on local weather, and product recommendations based on recent browsing sessions. It’s granular work. But it builds compounding returns. Luna: And it creates a feedback loop. The more context you capture, the better your predictions become. Lucas: Yes. But there’s a risk. As we mentioned earlier, data privacy. Consumers are savvy. They know when you’re spying versus when you’re helping. The line is thin. If you use context to make their life easier, they’ll reward you. If you use it to nudge them into a purchase they didn’t ask for, they’ll punish you. Trust is the ultimate currency. Luna: So transparency becomes part of the context. Being honest about why you’re reaching out. Lucas: Always. 'We noticed you viewed this item' is better than 'You might like this.' One is helpful; the other is presumptuous. Small linguistic shifts matter when you’re trying to build rapport through digital channels. Luna: I love that distinction. Presumptuous vs. helpful. That’s a framework I can use immediately. Lucas: Use it. And apply it to your internal communications too. How you present data to your boss or your team is also contextual. Are they in a hurry? Give them the headline. Do they have time to dig? Give them the appendix. Marketing isn’t just external. It’s how you communicate value everywhere. Luna: That’s a great point. Internal context is just as critical for career advancement. Lucas: It is. If you can master external context, you’ll naturally excel at internal context. It’s the same muscle. Understanding the needs, constraints, and moments of your stakeholders. Whether they’re customers or colleagues. Luna: So, contextual relevance is really about alignment. Aligning your message with the receiver’s reality. Lucas: Perfectly put. Alignment beats amplification every single time. Amplifying a misaligned message just spreads confusion faster. Alignment builds loyalty. And loyalty is the only metric that truly matters in the long run. Luna: I’m curious, do you think AI will eventually automate this contextual intuition, or will it always require a human touch? Lucas: AI will handle the patterns. It will tell you that rain in Seattle correlates with higher sales of umbrellas. But it won’t understand the nuance of someone buys an umbrella. Is it for themselves? For a gift? Out of habit? Out of fear? That’s the human layer. The marketer’s role is shifting from data processor to meaning maker. You provide the 'why'; AI provides the 'when' and 'where'. Luna: Meaning maker. I like that title. It feels more strategic than 'content creator.' Lucas: It should be. Content creation is commoditized. Meaning making is premium. If you want to future-proof your career, focus on the meaning. Focus on the context. And stop worrying so much about the pixels. Luna: Pixels are easy. Meaning is hard. But that’s where the value lives. Lucas: Always. So, as you head back to your desks today, ask yourself one question: am I speaking to a person, or am I speaking to a profile? Because the world is full of profiles. People are rare. Luna: A good reminder. And perhaps the most important distinction we’ll make all week. Lucas: Indeed. Let’s see how that plays out in your campaigns. I’ll be watching.