Latest / Marketing Automation with Fexingo: HubSpot, Marketo, and Automated Customer Journeys / Why Marketing Automation Ignores Customer Prepaid Cards
Transcript
- Lucas: So I was looking at a new report from the Federal Reserve Bank of Atlanta — prepaid card transaction volume is on track to exceed $600 billion globally this year. Luna: That's a huge number. And it's not just unbanked folks anymore — a lot of younger consumers are choosing prepaid for budgeting. Lucas: Right. And yet, most marketing automation platforms still treat prepaid cards like an edge case. If these conversations have sparked something you've actually used in your own workflows, we'd love to hear about it. And if you want to support the fact that we keep this show ad-free, you can do that at buy me a coffee dot com slash fexingo. Luna: Yeah, that really helps us keep digging into these blind spots. So Lucas, what's the concrete marketing automation failure here? Lucas: The failure is that automation systems often can't distinguish prepaid from credit card payments at the trigger level. Let me give you a specific case. Lucas: I talked to a subscription box company — they had a 12 percent drop-off in their sign-up flow. New users would enter their prepaid card, the payment processor would authorize it, but then the automation platform would fire a 'payment failed' email. Luna: Wait — the payment actually went through? Why would it flag a failure? Lucas: Because the trigger logic was looking for a specific authorization code that only credit cards return. Prepaid cards from networks like Visa or Mastercard use a different code — the system didn't recognize it as a success, so it defaulted to failure. Luna: So the automation is hard-coded to a particular response pattern. That's brittle. Lucas: Extremely. And this isn't just a subscription box problem. I've seen the same issue in software as a service trials, donation flows, even online course purchases. Luna: What about the downstream effects? Beyond the sign-up drop. Lucas: Once a prepaid user is tagged as a 'failed payment,' they often get excluded from upsell campaigns or loyalty programs. The system treats them as high risk, even though prepaid users tend to be more deliberate spenders — they load the card with exactly what they plan to use. Luna: So you're losing potential lifetime value because of a metadata gap. Who's dropping the ball here — the payment processor or the marketing platform? Lucas: It's more of an integration gap. Most processors — Stripe, Adyen, Braintree — return a 'funding type' or 'card type' field in their response. Stripe, for example, gives you a 'funding' attribute that can be 'credit', 'debit', 'prepaid', or 'unknown'. Lucas: But the marketing platforms often don't ingest that field. HubSpot's default deal properties, Marketo's lead fields — they don't have a prepaid flag. So the data exists, but it never makes it into the automation logic. Luna: That's a classic data pipeline issue. So what's the fix? Lucas: The simplest fix is to add a custom field in your CRM called 'payment method type' and map it from the processor's response via a webhook or middleware like Zapier. Then build separate automation branches. Lucas: For prepaid users, you might want a different welcome sequence — emphasize budget tools, no overdraft fees, that sort of thing. And definitely don't trigger a false failure email. Luna: Are any platforms starting to handle this natively? Lucas: A few are. Klaviyo recently added a prepaid card filter for their email flows, and Braze has a 'payment method' attribute you can set. But it's still opt-in — you have to know to look for it. Luna: And most marketers don't. They assume payment success equals credit card success. Lucas: Exactly. And that assumption is costing them. Let me give you another number: a 2025 study from J.D. Power found that prepaid card users have a 30 percent higher repeat purchase rate than credit card users in the same category. Luna: So they're actually more valuable. Automating them out of the funnel is the opposite of what you want. Lucas: Right. And there's a second layer — prepaid cards are often used for gift giving. So you might have a customer buying a subscription as a gift with a prepaid card, and the automation sends the gift receipt to the wrong person or triggers a 'welcome' email to the buyer instead of the recipient. Luna: That's a whole other failure mode. So the root cause is that marketing automation is built around the assumption that everyone pays like a typical affluent consumer. Lucas: Yeah. And the fix is really about data hygiene. If you're using a marketing automation platform, you should audit your payment success triggers. Pull a sample of transactions that went through and check whether your automation considered them successful. Luna: What would listeners look for in their analytics? Lucas: Look for a discrepancy between 'transactions completed' in your payment processor and 'transactions marked as successful' in your marketing platform. If those numbers differ by more than a percent or two, you've got a prepaid card problem. Luna: That's a concrete diagnostic. And it's not hard to fix once you know. Lucas: No, it's a few lines of code in a webhook or an API call. But it requires someone to notice the gap in the first place. Most teams don't because they're focused on top-line conversion rates, not on the payment method breakdown. Luna: So it's a blind spot born from aggregation. You see the overall number go up, you don't dig into the segments. Lucas: Exactly. And with prepaid cards growing at roughly 15 percent year-over-year, that blind spot is only going to get bigger. Luna: Alright, so practical takeaway: check your payment automation, add a prepaid field, and create separate flows. Anything else? Lucas: One more thing — don't forget to update your analytics dashboards. If you're segmenting by payment method, you might find that prepaid users have a different customer lifetime value trajectory. That could change how you allocate your marketing spend. Luna: Good call. Thanks, Lucas. Lucas: Thanks, Luna. Next time we'll look at another automation blind spot — maybe something to do with recurring payment updates.