Welcome to this week's issue of Unpacking Meaning. If you received this from a friend and enjoy it, subscribe here. The research mistake that kills good messagingOn a podcast recently, someone asked me: What’s the biggest mistake product marketers make when researching for messaging? It’s tempting to point to obvious traps—confirmation bias, talking to the wrong users, skipping research altogether. But the deeper issue is simpler: Teams confuse collecting data with doing research. Most have plenty of material lying around. Surveys. Gong calls. Reviews. Analytics dashboards. The problem is, they stop there. They never push past “what customers said” into “what customers did” or “why they decided.” That’s how you end up with:
If any of that sounds familiar, you’re not alone. Even experienced teams with plenty of data on hand fall into these traps—it’s the natural byproduct of moving fast and trying to keep everyone happy. The good news is, there’s a way out. How to avoid it:
What most teams miss is that research is supposed to reduce guesswork. If all it does is fill a slide deck, you’re still guessing. The teams that win are the ones who build messaging like they’d build product: testable, structured, and designed to hold up under pressure. Want to see how your own messaging stacks up? I built a free Message–Market Fit Scorecard to help you spot the exact gaps in your research-to-messaging flow. It takes 5 minutes, and you’ll get a clear picture of where to focus first. DISCOVERYDigging deeper into messaging that resonatesIf you want the full context behind the question I unpacked in today’s newsletter, here’s the Porter’s Product Marketing Podcast episode where it all started. We dig into the messy realities of product messaging, what actually works, what falls flat, and how research changes the game. Worth a listen if you’re tired of copy that sounds smart but doesn’t convert. RESONANCE"This business of trying to measure everything in precise terms is one of the problems with advertising today. This leads to a worship of research. We're all concerned about the facts we get and not about how provocative we can make those facts to the consumer." from "The Real Mad Men" by Andrew Cracknell Have a great weekend! Cheers, Chris 🙌🏻 Let’s be friends (unless you’re a stalker) When you're ready, here's a few ways I can helpNot sure where to start? Take our free message-market fit scorecard. |
I'm the founder and chief conversion copywriter at Conversion Alchemy. We help 7 and 8 figure SaaS and Ecommerce businesses convert more website visitors into happy customers. Conversion Alchemy Journal is the collection of my thoughts, ideas, and ramblings on anything copy, UX, conversion rate optimization, psychology, decision-making, human behavior, and -often times - just bizarre, geeky stuff. Grab a cup of coffee and join me. Once a week, every Friday.
Read online Welcome to this week's issue of Unpacking Meaning. If you received this from a friend and enjoy it, subscribe here. The hidden "architecture" rules that decide if prospects say yes Last week I ended up in a YouTube rabbit hole. The video featured Steven Harris, a New York based architect known for blending modernist design with livable comfort. He walked through the five non negotiables he uses when designing his own home. On the surface, it had nothing to do with messaging. But...
Read online Welcome to this week's issue of Unpacking Meaning. If you received this from a friend and enjoy it, subscribe here. What craft means (and why you should care) When I first started learning copywriting, my “practice” looked pretty old school: I’d sit down with a notebook and hand copy sales letters word for word. Page after page, until my wrist ached. It was boring, sure, but it drilled into me the rhythm and flow of persuasion in a way no shortcut ever could. Today, you can ask AI...
Read online Welcome to this week's issue of Unpacking Meaning. If you received this from a friend and enjoy it, subscribe here. When AI learns to empathize… what’s left for us? The last couple of years, marketers have reassured themselves with the same line: "AI can crunch data, but it can't empathize. It can't truly understand what makes people tick." I'm not buying it anymore. I recently interviewed Sam Woods for my podcast (episode dropping soon), and he told me about AI agents that...