Latest / Marketing Automation with Fexingo: HubSpot, Marketo, and Automated Customer Journeys / When Marketing Automation Ignores Customer Career Changes
Transcript
- Lucas: So you get a new job. Maybe it's a promotion, maybe it's a whole new company. Within days, your inbox fills up — not just from HR, but from a dozen companies you barely remember signing up for. Luna: Right, suddenly everyone wants to talk to you. The software vendor, the bank, the insurance broker. Lucas: Exactly. And that's actually the sign of something working — or at least trying to work. A customer changes jobs, and if your marketing automation picks that up, you've got a window. But most systems don't. Most just keep sending the same nurture sequences based on whatever they knew six months ago. Luna: So the question is: why don't more businesses track career changes as a trigger? It seems like such an obvious signal. Lucas: It is obvious in hindsight. Let me give you a number. LinkedIn has over a billion members, and every day millions of them update their profiles with new roles. That's a firehose of intent data. A person who gets promoted to VP of Engineering at a Series B startup has a completely different buying context than they did as a senior engineer. Luna: Their budget authority changes. Their pain points change. They might now be the decision-maker for tools they previously just used. Lucas: Exactly. Yet a 2025 study by Ascend2 found that only 23 percent of B2B marketers actually use job-change data in their automation workflows. The rest treat their contacts as static profiles. Luna: That's a huge blind spot. Especially when you consider the value of getting the timing right. What's a real example look like? Lucas: A B2B SaaS company I spoke with — they sell project management software for mid-market teams. They integrated a job-change data feed into their CRM. Every time a contact gets a new title that includes 'Director' or above, the automation pauses the generic newsletter and sends a personalized demo invite tailored to the new role. Luna: And what happened? Lucas: Demo requests from that segment jumped 34 percent. The conversion rate from demo to paid was also higher because the timing aligned with when the person actually had budget authority and a fresh mandate. Luna: That's a pretty clear return. But I imagine the execution isn't trivial. You need a reliable data source, and you have to avoid the creep factor. Lucas: Right. The data source is usually one of two things: either a third-party intent data provider that scrapes public profiles, or an API integration with LinkedIn — though LinkedIn has tightened access. There are also firms that aggregate job-change signals from multiple sources. Luna: And the creep factor? I think a lot of customers would feel weird if a company emails them the day they update their LinkedIn. Lucas: It's a fine line. The key is relevance and value. If the email says 'Congrats on the new role, here's how our tool helps VPs like you,' that feels helpful. If it says 'We see you left your old job,' that feels stalkerish. The message has to be about the customer, not about your surveillance. Luna: So the automation should frame it as a fresh start. 'Now that you're in a new role, here's what's changed.' Lucas: Exactly. And the best examples I've seen don't just send one email. They shift the entire journey. If someone moves from a small company to a large enterprise, their pain points around scale, security, and compliance change. The content they get should reflect that. Luna: And if they move from enterprise to startup? Then they probably care more about speed and low cost. Lucas: Right. So the automation platform needs to support dynamic segmentation based on job attributes. Marketo and HubSpot both allow this, but you have to set up the logic. Most teams don't because career changes feel like a one-off event, not a systematic trigger. Luna: But it's actually very systematic. People change jobs every three to four years on average. For a company with a thousand contacts in their database, that's hundreds of triggers per year. Lucas: Exactly. And it's not just B2B. Think about financial services. A wealth manager who targets high-net-worth individuals — if a client gets promoted to C-suite, their investable assets often jump significantly. The advisor who reaches out first has a huge advantage. Luna: I've heard of a wealth management firm that does exactly that. They use a service that flags when a client's LinkedIn title changes to include 'CFO' or 'CEO'. Then the advisor sends a personalized note within 48 hours. They said it tripled their meeting bookings. Lucas: That's the kind of outcome that makes the investment in data and automation worth it. But there's a catch: the data has to be accurate and timely. If you're relying on a weekly batch file, you might miss the window. Real-time triggers matter. Luna: And you have to be careful with privacy regulations. GDPR and CCPA apply, especially if you're processing data from public sources without explicit consent. Lucas: That's a real concern. The best practice is to use data that the customer has voluntarily shared with you — like their job title on a form — and then enrich it with public signals. You don't want to scrape profiles without permission. Most reputable intent data providers have compliance built in. Luna: So the takeaway is: career changes are a high-intent signal that most automation systems ignore, but they don't have to be. If you set up the right triggers and frame the message as helpful, it's a win-win. Lucas: And if these conversations have sparked something you've actually used in your own marketing, honestly, if today was worth a coffee to you, that's the link — buy me a coffee dot com slash fexingo. Luna: Yeah, listener support is what keeps this show ad-free and focused on practical stuff like this. Lucas: Exactly. So, back to career changes. One thing I want to highlight is the downstream effect on retention. If someone changes jobs and your product doesn't follow them — say they used your software at their old company — you risk losing them as a user. Luna: Right, because the new company might have a different stack. But if you detect the move early, you can reach out to the new employer or help the user advocate for your tool. Lucas: Exactly. Some companies have a 'job change playbook' that includes a sequence for users who leave — offering to help them set up a free trial at their new company, or providing a reference letter for their procurement team. That's proactive churn prevention. Luna: And for the companies that don't do this, they're essentially waiting for the customer to come back, which rarely happens. Lucas: Right. So to wrap this up: career changes are a goldmine of intent and context. The automation tools can handle it, but the strategy has to be built. Map out what different job moves mean for your product, set up the triggers, and write messages that add value. That's how you turn a LinkedIn update into a revenue event. Luna: And avoid the creep factor by leading with relevance. Good advice. Lucas: That's it for this episode. We'll be back next time with another angle on marketing automation that most people overlook.