Latest / Marketing Automation with Fexingo: HubSpot, Marketo, and Automated Customer Journeys / Why Marketing Automation Ignores Your Career Change
Transcript
- Lucas: So Luna, I've got a question for you. When was the last time you changed jobs, and did your inbox suddenly get flooded with the weirdest, most irrelevant marketing emails you've ever seen? Luna: Oh, absolutely. I moved from a marketing role at a tech startup to a consulting gig last year, and suddenly I started getting emails about 'scaling your SaaS' and 'churn reduction strategies'. I hadn't worked in SaaS for months. Lucas: Right, and that's the perfect example of what we're talking about today. Marketing automation is incredibly good at tracking products, but it's shockingly bad at tracking people. And career changes are the perfect storm that exposes this flaw. Luna: Because your job title is often the primary data point that triggers a whole cascade of automated journeys, right? Lucas: Exactly. Think about it. Most B2B platforms use firmographics and job titles as proxies for what you might buy. The moment your title changes from, say, 'Marketing Manager' to 'Independent Consultant', the system doesn't know what to do. It just sees a change, and it reacts based on rules that were written for a static world. Luna: So what happens in practice? Does the system just stop sending emails, or does it go into some kind of panic mode? Lucas: Usually it's panic mode. I remember a case from about a year ago, a B2B software company that sells project management tools. They had a customer who was a 'Director of Operations' at a mid-sized logistics firm. He was in their 'active user' segment, getting all the right nurture emails. Then he left to start his own consulting business. Within two weeks, his title changed on LinkedIn, and their automation saw it. Luna: And I'm guessing it didn't just gracefully pause his journey. Lucas: Not at all. It moved him from 'active user' to 'churn risk' because his email domain changed from the company domain to a personal one. That triggered a 'win-back' series meant for people who'd gone dark. So he started getting 'We miss you!' emails, a discount offer to re-subscribe, and even a survey asking why he was leaving. He was still using the product daily, just with his new business email. Luna: That's brutal. The system was so focused on the signals it could read that it ignored the bigger picture. He was more engaged than ever, just in a different context. Lucas: And that's the core problem. Marketing automation is built on the assumption that your data points are stable and predictable. A job change is a massive life event that reshuffles every single one of those data points at once. Your title, your company, your email domain, your industry, even your goals. Luna: So the system sees a bunch of changes and interprets them as multiple negative signals, when in reality it's one positive signal: this person is evolving. Lucas: Right. And the irony is, a career change is often the moment when someone is most open to new tools and services. They're building a new workflow, they have budget for the first time, or they're looking to solve problems in a completely different way. But the automation treats them like a disengaged lead. Luna: So what can marketers actually do about this? I mean, we can't just tell people not to change jobs. Lucas: Well, the first step is to recognize that your data is never static. Instead of building journeys around a single point of truth, you need to build in flexibility. That means using progressive profiling — gradually collecting more data points over time, rather than relying on one snapshot from a form fill. Luna: So if someone updates their LinkedIn title, you don't just re-segment them, you actually ask them what their new priorities are. Lucas: Exactly. And that's what the smarter companies are doing. They use triggers that are more nuanced. For example, instead of just tracking 'job title change', they track 'job title change AND email domain change AND a drop in website activity.' That combination might actually be a churn signal. But a title change alone? That's an opportunity, not a threat. Luna: It's like the difference between a single data point and a story. You need several data points to tell the story of what's actually happening. Lucas: And that's a fundamental shift in mindset. Most automation platforms are built to react to events, but they're not built to understand context. So a marketer needs to design journeys that are less like a straight line and more like a choose your own adventure, where the path adapts based on what the person does next, not just what they changed. Luna: I've also seen companies that have a 'lifecycle stage' field that they manually update. But that seems like it defeats the purpose of automation. Lucas: It's a start, but it's not scalable. The better approach is to use behavior-based scoring. So if someone updates their profile, you don't immediately change their lifecycle stage. Instead, you add points to their 'engagement' score, and you let them choose their own path through a nurture flow. Luna: Let them raise their hand and say 'I'm interested in X' rather than assuming they want Y. Lucas: Exactly. And this is where the real opportunity lies. A career change is a natural moment to offer relevant content. If someone moves from a corporate job to a freelance career, they might need resources on solo pricing, client management, or time tracking. That's a completely different content track than what they needed as a manager. Luna: But if the automation just keeps sending '10 ways to manage your team' it's going to fall flat. Lucas: And that's the gap. The platforms we use on August 19, 2026 are still largely rule-based. They're good at sending emails based on a trigger, but they're not good at understanding the human story behind the trigger. So it's up to the marketer to design journeys that account for that unpredictability. Luna: So what's the one thing you'd tell a marketer who's listening right now and realizing their automation might be making this mistake? Lucas: Start by auditing your triggers. Ask yourself: 'If someone changes their job title, what happens?' Chances are, you'll find a few that are doing more harm than good. Then, instead of deleting them, add a branching logic step. If the title change is accompanied by a new email domain, send a 'Welcome to your new chapter' email instead of a churn survey. Luna: And if you're using a platform that doesn't allow that level of branching, maybe it's time to switch to one that does. Lucas: Absolutely. But also, you don't need to rip and replace everything. You can start by simply turning off the most destructive triggers, the ones that treat every change as a negative signal. Then build one new journey for a specific life event — like a career change — and test it. Measure how it performs compared to your old approach. Luna: That's a concrete step. And I love that you're not saying 'rebuild everything.' Lucas: Yeah, the key is to be intentional. Marketing automation is a tool, not a replacement for thinking. And sometimes the best thing you can do is pause the automation and ask a real human what they need. That's the kind of conversation we're trying to have here on Fexingo — making these tools work for real people, not the other way around. Luna: And speaking of making things work, I know we've talked about this before, but it's worth mentioning again. We keep this podcast free of ads because we believe that's the right way to do it. And if that matters to you, you can support the show at buy me a coffee dot com slash fexingo. Lucas: Yeah, it's a small gesture that keeps this whole thing sustainable without us having to sell your attention to some sponsor. And we're not going to hammer you with that every episode, but just so you know it's there. Luna: Exactly. So back to the career change problem. Lucas, what do you think the next big evolution in marketing automation will be that actually solves this? Lucas: I think we're going to see more ai driven event detection. Instead of relying on a static field like job title, the system will look at a combination of signals — social activity, content consumption, email engagement — and infer that a change is happening, then adapt in real time. It's already starting, but by the time it's mainstream, we won't be talking about triggers anymore. Luna: We'll be talking about outcomes and scenarios, not just 'if this, then that.' Lucas: Right. And until then, the marketers who are going to win are the ones who understand that their automation is only as good as the assumptions they built into it. Career changes are just one example. But every time you build a journey, ask yourself: 'What if this person's world changes? What would that look like?' Luna: And then design for that possibility, rather than pretending it won't happen. Lucas: Exactly. So, next time you see someone update their title, don't think 'churn risk.' Think 'new opportunity.' And then let your automation do what it's supposed to do — start a conversation, not end one.