Latest / Marketing Automation with Fexingo: HubSpot, Marketo, and Automated Customer Journeys / Why Marketing Automation Misses Your Job Hunt
Transcript
- Lucas: So you're browsing job listings at two in the morning, you upload your resume to a job board, and then... nothing. No follow-up. No 'we've matched you with three roles.' The automation just goes dark. That's the gap we're looking at today: marketing automation that misses the job hunt. Luna: And it's not just job boards. I've seen this in B2B, in recruiting software, even in career coaching services. They all capture that high-intent moment and then let it slip. Lucas: Right, and if today's conversation gives you one useful idea about how to spot those moments in your own funnel, that's kind of the point. These conversations stay ad-free because of listener support, so if you got something useful, you can keep that going at buy me a coffee dot com slash fexingo. But let's get into the meat. Luna: Yeah, let's. So what's the actual data problem here? Lucas: The data problem is that most automation is built around e commerce style behaviors. You look at a product, you add to cart, you buy. The email flows are shaped like a smile curve — high at the top, dip in the middle, spike at conversion. But a job hunt doesn't look like that. It's spiky, it's nocturnal, it happens in bursts, and it's emotionally charged. Luna: And the signals are different too. It's not 'abandoned cart,' it's 'abandoned resume draft.' Or 'clicked on a job alert three times in one week.' Lucas: Exactly. And the platforms that do try to capture it often fumble. I was looking at one major job board's lead-nurture flow. You sign up, they send a generic 'we noticed you're exploring opportunities' email. They ask you to upload your resume. And if you actually do it — that's the trigger for a specific, helpful response. But their automation treats that upload like any other form submission. It goes into the same nurture track as someone who just created an account. No differentiation. Luna: So the most important action a job seeker can take is treated the same as a passive sign-up. That's a classic automation blind spot. Lucas: And it's not just job boards. Think about a recruiting software company that sells to HR teams. They have a demo request form and a blog. But when a recruiter starts downloading their salary guides three times in a month, that's a strong signal they're preparing a compensation review. Standard automation would just tag them as 'engaged' and keep sending the newsletter. Luna: Right, instead of switching them to a sales-assist track that says, 'Hey, we saw you're researching comp — want to see how our tool handles that?' Lucas: Exactly. The thing is, job hunting is a life event. And life events are notoriously hard for automation because they don't follow a predictable timeline. Your wedding or a new baby — those have some structure. But a job hunt? It can last three weeks or eighteen months. It can start and stop. People take breaks. They get discouraged. Luna: And the break is actually a signal too. If someone was actively opening your emails every day for a month, and then they go silent for two weeks, that's not disengagement. That might be a job offer, or a rejection spiral. Lucas: Yeah, and nobody's building for that. There was a marketing automation platform that tried to add a 'life event' trigger for job changes a few years back. The idea was to let brands send a special campaign when someone updated their LinkedIn profile with a new title. But it flopped, because the data was too noisy. People update their LinkedIn for all sorts of reasons — they're just refreshing their headline, or they're a consultant who changes titles every month. The trigger fired so often that it became spam. Luna: So they had the right idea but the wrong signal. The title change is the aftermath, not the start. The real start is the behavior before the title change — the resume tweaks, the job alerts, the company research. Lucas: Right. So what would a better trigger look like? Let me propose a framework. First, identify the 'pre-hunt' behaviors: job alert sign-ups, resume uploads, profile views on LinkedIn. Second, look for the 'active hunt' behaviors: repeated searches in a category, saving specific job posts, opening emails from competitors. Luna: And third, the 'post-hunt' behaviors? Like when they suddenly stop all that activity, or their email engagement changes completely. Lucas: Exactly. And here's where a smart marketer can step in. If you can detect the post-hunt phase — say, someone who was very active for six weeks goes quiet — that's the perfect moment for a 'we hope you found what you were looking for' campaign. Not a 'we miss you' email. A 'congratulations, maybe?' email. That's a human touch that automation rarely nails. Luna: And in B2B, that could be a real differentiator. If your company sells to recruiters, and you can detect when a recruiter is job hunting themselves, that's a chance to build loyalty. But it's also creepy if you get it wrong. Lucas: Oh, absolutely. The privacy dimension is huge. You're inferring someone's job search from their digital footprint. That's sensitive data. But here's the thing — the person is already giving you that data by engaging with your platform. The question is whether you use it to help them or just to push a sale. Luna: So what's a concrete example of getting it right? I'm thinking of a career coaching service that uses a simple email sequence based on resume uploads. Lucas: Okay, so let's say they have a form on their site: 'Get a free resume review.' When someone fills it out, they get an automated email that says, 'We'll review your resume and send three quick tips within 48 hours.' The automation then waits for the upload. If the upload comes, it triggers a personal review — maybe a real human — and sends a tailored response. If the upload doesn't come, it sends a gentle nudge after three days. That's a simple flow that respects the high intent. Luna: And that's a real trigger — the upload — not just the form submission. That's the difference. Lucas: Right. And the key is to design the automation around the user's goal, not your sales funnel. The user's goal is to get a job. Your goal is to get them to buy your service. If you align those, the automation works. If you just treat them like a lead, you're another inbox clutter. Luna: So what's the bottom line for a marketer listening to this? What's the one thing to take away? Lucas: I'd say this: audit your automation for the life-event moments you're missing. Look for the high-intent, non-standard behaviors that your current triggers don't catch. For a job board, that's the resume upload. For a recruiter SaaS, it's the salary guide download. For a career coach, it's the 'free resume review' request. Those are the moments where a simple, well-timed email can make a real difference. Luna: And maybe the bigger question is, should we be building automation that waits for the job hunt to end, or should we be helping people through it? Because right now, the industry is mostly doing the former. Lucas: That's a really good way to put it. We're so focused on the conversion that we forget the human in the middle. The job hunt is a journey of ups and downs, and the brand that shows up with genuine help at the right moments — not just a 'we noticed you're exploring' email — that's the one people remember. Luna: And remember, it's a small change that can have a big impact. One trigger, one email, one life event. That's the start. Lucas: Yeah. So next time you're setting up a campaign, ask yourself: what are the moments in my customer's life that I'm not seeing? And then build a trigger for the one that matters most.