Latest / Marketing Automation with Fexingo: HubSpot, Marketo, and Automated Customer Journeys / How Marketing Automation Misses Customer Podcast Habits
Transcript
- Lucas: You know, it's July 2026, and we have more data on customer behavior than ever — browsing history, purchase patterns, social media activity — but there's one massive data source that most marketing automation platforms just ignore. Luna: Let me guess — podcasts? Lucas: Exactly. Podcast listening. According to a recent survey from MarTech Today, over 70 percent of marketers say they don't use podcast consumption data to trigger any automated campaigns. And that's a missed opportunity, because podcast listeners are incredibly engaged. Luna: I can see why it's overlooked. Most podcast platforms don't have open APIs, and even if they do, the data isn't always easy to map to a specific customer. Lucas: Right, but that's changing. Spotify has introduced listener APIs for advertisers, and Apple Podcasts now offers episode-level analytics. The infrastructure is there. The automation platforms just haven't caught up. Luna: So what would a smart trigger look like? If someone listens to three episodes about supply chain optimization, maybe you send them a whitepaper on logistics? Lucas: Exactly that. Or if they binge a series on startup fundraising, you put them in a nurture sequence for your small business credit product. The key is that podcast listening signals intent. It's not passive scrolling — people choose to listen, often for thirty minutes or more. Luna: I've seen a real-world example of this. A B2B SaaS company I know — they sell project management software — they noticed a spike in trials after they appeared on a popular tech podcast. So they started asking new signups, 'How did you hear about us?' and about a quarter said 'a podcast.' Lucas: So they built a custom trigger. If a lead comes in with a podcast source tag, they send them a sequence of episodes from their own company podcast, then a demo invite. That's smart, but it's manual. It should be automatic. Luna: Why aren't the big platforms like HubSpot or Marketo building this in? They have integrations for almost everything else. Lucas: Part of it is that podcast data is still fragmented. There's no universal standard for listener identity across Apple Podcasts, Spotify, and all the other apps. But I think the bigger reason is that marketing automation was built around explicit actions — email opens, link clicks, form fills. Listening is an implicit signal, and platforms have historically been bad at weighting implicit data. Luna: That's changing though, right? With AI and machine learning, platforms can now infer interest from browsing behavior. Why not listening? Lucas: They can, and some are starting to. Shopify, for instance, recently added a 'Podcast Engagement' field in their customer profiles. If a customer subscribes to a podcast via Shopify's podcast hosting, that data feeds into their marketing automation. But it's a niche use case. Luna: So what's the solution for a marketer today? If they want to trigger campaigns based on podcast listening, how do they do it? Lucas: There are a few workarounds. One is to use a dedicated podcast analytics platform like Chartable or Podtrac that can pass data to your CRM via Zapier. You set up a trigger: when a listener completes episode X, add them to a segment. Then from your CRM, you push that into your automation tool. Luna: That's a lot of moving parts. Most marketers don't have the technical bandwidth for that. Lucas: True. But the alternative is ignoring a channel where listeners are 60 percent more likely to take action after hearing a brand mentioned, according to Edison Research. That's a significant blind spot. Luna: I wonder if part of the problem is that podcasting is still seen as a 'bonus' channel, not a core part of the marketing mix. So it doesn't get the integration resources. Lucas: I think that's exactly it. But as podcast ad revenue passes two billion dollars annually, that perception is shifting. And marketers who get ahead of this will have a real advantage. Luna: If these marketing conversations have sparked something you've actually used or thought about, we want to keep these conversations going and free of ads. That's a choice we've made from day one. And if that choice matters to you, there's a simple way to support it. Lucas: Yeah, we don't run any sponsor reads or ad breaks. It keeps the episodes clean, but it also means the show relies on listeners who find value in what we do. If you're one of them, buying us a coffee at buy me a coffee dot com slash fexingo helps keep the lights on. Luna: No pressure at all. Just something to know. It's a small gesture that goes a long way for us. Lucas: So back to the practical side — let's say you want to start using podcast listening data. Where do you begin? Luna: I'd say start with your own podcast if you have one. That's the easiest data to capture because you control the platform. You know who's listening, how many episodes, which topics. Lucas: Good point. And if you don't have a podcast, you can still collect data by asking in your lead forms. 'What podcasts do you listen to?' or 'What topics are you interested in?' Then you can manually map those to automated campaigns. It's not as elegant, but it works. Luna: What about using third-party data? There are companies that aggregate listening behavior and sell it to marketers. Lucas: That's a option, but you have to be careful with privacy. Podcast listening is sensitive data — it can reveal a lot about a person's interests, beliefs, even their routines. With CCPA and GDPR, you need explicit consent to use that data for marketing. Luna: Right, so the best approach is probably opt-in. Maybe you offer an incentive — a discount or a free resource — in exchange for connecting their podcast account. Lucas: Exactly. And once you have that data, the opportunities are really interesting. You can segment by podcast genre, by frequency of listening, by recent episodes. That gives you a rich picture of customer intent. Luna: I think the real breakthrough will come when the major automation platforms build native integrations. Imagine HubSpot surfacing a 'Podcast Affinity Score' for each contact, based on the topics they listen to. Lucas: That would be a game changer. And it's not far off. I've heard rumors that some of the big players are working on it. The question is whether they'll prioritize it. Luna: Seems like they should. Podcast listening is one of the few media where people actively choose to spend time with a specific brand or topic. That's a signal worth automating around. Lucas: Absolutely. And until the platforms catch up, marketers who build their own bridges will have a real edge. It's a small investment now that could pay off big as the channel matures. Luna: So to sum up: podcast listening data is a blind spot in most automation, but it doesn't have to be. There are workarounds today, and native integrations are coming. Lucas: Yeah, and the key takeaway is that if you're not treating podcast consumption as a trigger, you're missing a signal that a significant and growing part of your audience is sending you. It's worth paying attention to. Luna: That's a good place to leave it. Thanks, Lucas. Lucas: Thanks, Luna. Talk to everyone next time.