Latest / Marketing Automation with Fexingo: HubSpot, Marketo, and Automated Customer Journeys / Marketing Automation Ignores Customer Grief Triggers
Transcript
- Lucas: So a listener — I think she works in email marketing for a large retailer — sent us a note that honestly stopped me mid-sentence. She said a customer who had just lost her husband received an automated email with the subject line 'You left something in your cart — here's 15% off to come back.' Luna: Oh no. Lucas: Yeah. The customer had been browsing men's jackets the week before. The system didn't know he had died. And this isn't a one-off horror story. The Customer Grief Institute — that's a real research group — published a study in 2025 that found 73 percent of bereaved customers received automated marketing that felt tone-deaf or insensitive, and 42 percent unsubscribed permanently. Luna: Forty-two percent permanently gone — that's huge. And heartbreaking, because the brand probably never even connected the unsubscribe to the grief event. Lucas: Exactly. The automation ran perfectly. The system executed exactly as designed. That's the problem. So today I want to talk about why marketing automation almost completely ignores grief triggers — death of a spouse, miscarriage, loss of a parent — and what a better approach would look like. Luna: Before we get into the fix — how do we even know a grief event happened? People don't usually update their customer profile to say 'my husband passed away.' Lucas: That's the core challenge. Most systems rely on explicit data: birthdays, purchase anniversaries, subscription renewals. Grief doesn't fit that model. But there are signals. For example, if a customer suddenly stops purchasing a product tied to a specific person — say, men's clothing or a shared subscription — that's a weak signal. Stronger signals come from third-party data: obituary databases, funeral home registries, estate planning services. A few companies now license death records from the Social Security Administration's Death Master File, though it's delayed by months. Luna: That feels intrusive though. Using obituary data to trigger marketing? That's a privacy tightrope. Lucas: It absolutely is. And I think the right answer isn't about mining grief data behind the customer's back. It's about creating an opt-in framework. Imagine a settings page where you can check a box: 'I'm going through a difficult life change — please pause promotional emails for 90 days.' Or better: a form where you can indicate the nature of the event so the system can adjust content appropriately. Luna: But would people actually fill that out? In my experience, customers in grief aren't browsing your preference center. Lucas: You're right — many won't. So you need a dual approach. First, a frictionless opt-out that doesn't require explanation: a single link that says 'pause all marketing for 30 days' with no follow-up questions. Second, you train your customer service team to flag accounts when someone calls to cancel a service because of a death. That human moment is the best signal you'll get. Luna: I've seen some companies use what they call 'compassionate holds.' They pause billing and marketing for a set period, then send a human-written note before resuming. Lucas: That's exactly the right shape. Let me give you a concrete example. A mid-sized home services company — they install water heaters, furnaces, that kind of thing — had a policy of sending a 'we miss you' email if a customer hadn't booked a service in 12 months. One customer's husband had died, and she got that email. She called furious. The company fixed it by adding a 'deceased spouse' flag to the account, which suppressed all marketing for two years and triggered a condolence card from the local branch manager. Retention among flagged accounts went up 30 percent. Luna: The condolence card is interesting — that's not automation, that's human outreach. Is there a role for automation in grief, or should it all be hands-off? Lucas: I think automation handles the structural part: suppressing irrelevant campaigns, adjusting frequency, routing to a human when appropriate. But the actual communication — the condolence message — should be crafted with care. You can have automated triggers that prompt a human to send a personalized note, but the note itself shouldn't be a template. Customers can tell the difference between 'we're sorry for your loss' from a system and the same words from a person who means it. Luna: And if you get it wrong, the backlash can be severe. I remember a major UK retailer that sent a 'treat yourself' voucher to a woman whose baby had died. She posted it on Twitter, and it went viral. The brand had to issue a public apology. Lucas: Right — and that's the reputational risk. But I think the bigger cost is the quiet churn. The 42 percent who unsubscribe and never say why. That's the silent damage. And it's completely avoidable if you build the right workflows. Luna: So what would a grief-aware marketing automation system look like in practice? Walk me through the workflow. Lucas: Let's sketch it. First, data collection — but opt-in only. You can offer a 'life events' preference center where customers voluntarily share triggers. Second, signal detection — from customer service notes, from billing changes, from third-party data with consent. Third, an event-based trigger that moves the customer into a 'compassionate hold' segment. That segment has its own suppression rules: no promotional emails, no cart abandonment, no win-back campaigns. Instead, it sends a one-time email from the CEO or a dedicated care team — human-written, not templated — offering a pause on communications and a direct phone number for support. Luna: And after the hold period? How do you resume contact sensitively? Lucas: The system should send a re-engagement email that acknowledges the change — something like 'We've kept things quiet for a while. If you're ready, we'd love to be helpful again. No pressure, and you can extend this pause anytime.' That email has a single button: 'I'm ready' or 'Not yet.' If they click 'Not yet,' it extends the hold for another 90 days. If they click 'I'm ready,' they re-enter the standard marketing flow, but with a lower frequency cap for the first three months. Luna: That's thoughtful. But I want to push back a little — does every brand need this? If you sell office supplies, the risk of a grief-related misfire is lower than if you sell baby products or wedding planning. Lucas: That's fair. The sensitivity of the product category matters. A brand selling funeral planning services obviously has a different relationship with grief than a brand selling paper clips. But here's the thing: every brand has customers who grieve. The question is whether your automation accounts for that possibility. And the cost of not accounting for it — a single viral tweet, a permanent unsubscribe — is often higher than the cost of building a simple opt-out mechanism. Luna: I think the ROI case is strongest for high-engagement, high-ticket categories. But I agree that the basic infrastructure — a pause button, a human escalation path — should be table stakes. Lucas: Let me tie this to a specific platform. In HubSpot, you can create a 'life event' contact property — a dropdown with options like 'bereavement,' 'illness,' 'new baby' — and use it in a suppression list. Then you build a workflow that checks that property before every email send. If the property is set to 'bereavement,' the email gets skipped and the contact gets added to a 'compassionate care' sequence that sends zero promotional content for six months. Same logic works in Marketo with smart lists and flow steps. Luna: But the critical step is actually having that property populated. How do you get the data in without feeling creepy? Lucas: You let the customer bring it to you. Some companies place a small link in the email footer: 'Going through a difficult time? Let us know and we'll adjust your preferences.' That link goes to a form with just two fields: the nature of the event and how long you'd like marketing paused. No login required. The conversion rate is low — maybe one or two percent — but those are the customers who would have unsubscribed anyway. You're trading a few clicks for retention. Luna: That's smart. And it positions the brand as considerate rather than intrusive. Lucas: Exactly. And if these marketing conversations have sparked something you've actually used or adapted in your own work — that's the kind of thing that keeps us going. Look, we keep this show completely ad-free, and that's possible because a small group of listeners chips in each month. If you find value in episodes like this, you can support us at buy me a coffee dot com slash fexingo. It's not about perks or rewards — it's just about keeping this independent and free for everyone. Luna: Yeah, and it genuinely makes a difference. A few dollars a month from people who care means we can keep diving into niche topics like this without worrying about sponsors dictating the content. Lucas: So back to grief triggers — one more layer I want to add. The emotional arc of grief isn't linear, and marketing automation tends to treat it as a single event. You lose someone, you get a condolence email, then six months later you're back in the normal flow. But grief can resurface on anniversaries, birthdays, holidays. A truly sensitive system would have secondary triggers: one year after the loss, suppress any campaign that references 'family gatherings' or 'gift-giving' unless the customer opts in. Luna: That requires a lot of content tagging. You'd need to know which campaigns reference specific life situations. Lucas: It does, and that's the investment. Some brands are starting to use AI to classify email content by life-stage relevance. If the model detects that a subject line contains 'dad' or 'father,' it could flag that email for customers who have lost a parent. Then the workflow either suppresses or rewrites it. Luna: That feels like a few years out for most companies. But I can see it becoming best practice eventually. Lucas: I think we'll see it sooner than we expect. Consumer expectations are shifting. People are more aware of how their data is used, and they're less tolerant of tone-deaf automation. The brands that get grief right will earn disproportionate loyalty. The ones that don't will bleed customers silently. Luna: One last thought — and this is more philosophical — is there a limit to what automation should handle? Like, should some things just be left to humans? Lucas: I think the answer is yes, but the boundary is blurry. Automation should handle the recognition and routing — identifying that something has changed and directing the customer to the right human. The human handles the actual emotional conversation. The mistake is trying to automate the empathy itself. You can't script a condolence note that feels real. But you can build a system that ensures a real person writes one. Luna: That feels like a good place to land. Thanks, Lucas. Lucas: Thanks, Luna. And thanks to the listener who sent in that story — it sparked a conversation I think a lot of marketers need to have.