Latest / Customer Journey with Fexingo: Touchpoints, Mapping, and Multi-Channel Marketing / Why Mobile Touchpoints Feel Like Noise
Transcript
- Lucas: Luna, I want to talk about why your phone is probably buzzing with marketing messages that feel like noise — and why most brands are making it worse. Luna: You mean the push notifications I just swiped away without reading? Yeah, I get about a dozen a day from apps I barely remember downloading. Lucas: Exactly. And here's the puzzle: mobile is supposed to be the most personal channel we have. It's always with you, it knows your location, your habits, your patterns. But most mobile marketing feels less like a helpful assistant and more like a carnival barker. Lucas: I came across a case recently that really drove this home. A mid-size e-commerce brand — let's call them 'ShopVibe' — was sending four push notifications per week. Standard stuff: 'Sale ends tonight,' 'Your cart misses you,' 'New arrivals.' Their open rate? Below three percent. And their opt-out rate was climbing month over month. Luna: Four per week doesn't even sound that aggressive. I've seen brands send multiple per day. Lucas: Right, but the damage wasn't just the low engagement. The real cost was that every notification, even the ones they didn't open, was training the customer to ignore the app entirely. The brand was spending money on the infrastructure, the creative, the targeting — and essentially paying to teach their customers to tune them out. Luna: So what changed? Did they just stop sending them? Lucas: They did something smarter. They cut frequency to one message per week. But more importantly, they shifted the content from promotional broadcast to context-aware utility. Instead of '30% off shoes,' they sent: 'Your saved sneakers are back in stock in size 10.' Or: 'Your order has shipped and is arriving tomorrow.' Luna: So they moved from interruption to permission. That feels like a different relationship with the customer. Lucas: Exactly. The open rate jumped to eighteen percent. Opt-out rate dropped by half. And here's the kicker — even customers who never opened the notifications, but who stopped receiving the high-frequency promotional blast, had higher retention. The absence of noise was itself a retention signal. Luna: That's fascinating. It's like the brand was creating churn by being present too often. So what's the psychological mechanism? Lucas: There's a concept called 'notification fatigue.' Every time a phone buzzes and the user decides it's not worth their attention, they're depleting a tiny bit of goodwill. Over time, the app becomes associated with annoyance. Even if they never open the notification, the brand is building negative equity in the background. Luna: And switching to utility messages — telling me something I actually want to know — that flips the script. Now the buzz is a signal of value, not noise. Lucas: Yes. And the interesting thing is that the threshold for 'value' on mobile is surprisingly low. It doesn't have to be a life-changing alert. It just has to be something the customer would have willingly checked the app for. Order status, price drop on a saved item, a reminder for an appointment. That's a low bar, but most brands can't clear it because their mobile strategy is still built around the old broadcast model. Luna: Broadcast model meaning they treat the phone like a billboard? Lucas: Exactly. They're thinking reach and frequency. But the phone is a personal device. The customer has granted you a permission that's much more intimate than an email inbox or a social feed. And that permission can be revoked with one tap. The cost of abusing it is permanent silence. Luna: Let's talk about that cost. The brand that cuts frequency — are they leaving money on the table? I mean, if you send fewer messages, you get fewer immediate conversions, right? Lucas: That's the fear, and in the short term it might be true. But the data from ShopVibe and similar cases suggests that the lifetime value of a customer who stays opted in is significantly higher. And the conversion per message actually goes up because the messages that do arrive carry more weight. Luna: So it's a trade-off between short-term push revenue and long-term relationship value. Lucas: Exactly. And for most brands, the math works in favor of restraint. But the hard part is organizational. Marketing teams are measured on this week's campaign performance, not on opt-out rates six months from now. So there's a structural incentive to keep pushing. Luna: What about the customer who genuinely wants to know about every sale? Are you serving them less? Lucas: That's a fair point, and the solution is segmentation. The ShopVibe case didn't apply the same frequency to everyone. They created a 'deal-seeker' segment for customers who had clicked on promotional notifications in the past, and they allowed a higher frequency for that group. But for the vast majority, less was more. Luna: So the principle is: treat mobile as a pull channel, not a push channel. Lucas: Exactly. The best mobile marketing feels like a service, not a sales pitch. And that's hard because it requires rethinking the entire mobile touchpoint strategy from the customer's perspective. Every touchpoint should pass one test: would the customer be glad they received this? If the answer is anything less than a clear yes, don't send it. Luna: I want to push back a little. Isn't there a risk of being too cautious? If you only send messages that are obviously valuable, you might miss opportunities to surprise or delight. Lucas: Surprise and delight still pass the test — if the delight is genuine. A surprise discount on a customer's birthday? That's a yes. A push notification that says 'We noticed you've been browsing winter coats — here's a guide to choosing the right one' — that could be helpful. The test isn't about being boring; it's about being respectful of attention. Luna: Okay, so the brand has to earn the buzz. What about the timing? Does it matter when you send? Lucas: Hugely. The same message sent at 10 AM versus 10 PM can have wildly different outcomes. ShopVibe did a timing analysis and found that their highest engagement was between 7 and 9 PM on weekdays — people winding down, scrolling their phones. But they had been sending most notifications mid-morning, when people were in meetings or commuting. Luna: So they were competing for attention at the worst possible moment. Lucas: Right. And that's another layer of the problem. It's not just what you say and how often — it's when you say it. The phone is a context machine, and most marketing treats it like a dumb terminal. Luna: It's interesting — we've talked about journey mapping and touchpoints in previous episodes, but we never really zeroed in on mobile as a distinct channel with its own rules. It feels like mobile is the channel where the gap between best practice and common practice is widest. Lucas: That's a great way to put it. And the fix isn't expensive or complicated. It's a mindset shift. Think of the notification as a concierge, not a bullhorn. If you can do that, the numbers follow. Luna: So what's the one actionable takeaway for someone listening who manages mobile touchpoints? Lucas: Audit your last two weeks of push notifications. For each one, ask: would the customer be glad they received this? If more than half the answers are 'maybe' or 'no,' you have a noise problem. Cut the frequency by half, and replace the promotional messages with utility messages. Measure open rate and opt-out rate for the next month. I'd be surprised if you don't see improvement. Luna: That's a concrete challenge. I like it. And if people want to dig deeper into this, we've got a link in the show notes to a longer case study from ShopVibe's team. Lucas: Actually, speaking of the show notes — if conversations like this have sparked ideas you've actually used, or if you just enjoy the ad-free format, there's a simple way to support the show. If today's episode was worth a coffee to you, you can find us at buy me a coffee dot com slash fexingo. No pressure, no perks — just a way to keep these conversations going. Luna: Yeah, it genuinely helps. And it's nice to know when something we say lands. Lucas: Alright, back to mobile. I think the next frontier is what happens when brands start using on-device machine learning to predict the best time to send a notification for each individual user. Some of the big players are already doing it. Luna: So the notification becomes truly personal, not just personalized. Lucas: Exactly. And that's where mobile marketing stops being noise and starts being a genuine value-add. The brands that get there first will have a real competitive advantage. Luna: It's a good reminder that in a world of infinite messages, the scarcest resource isn't attention — it's trust. Lucas: Well said. And on that note, that's our episode. Thanks for listening.