Latest / The Newsletter Podcast with Fexingo: Substack, Beehiiv, and Email Newsletter Business / How Email Segmentation Boosts Newsletter Paid Conversions
Transcript
- Lucas: I was reading a case study from a newsletter called 'The Marketing Edge' — it's a weekly on B2B sales tactics. Roughly twelve thousand free subscribers. They noticed something: readers who clicked on the 'case study' links in their emails were three times more likely to convert to paid. Luna: Three times? That's a massive signal. So what did they do with that insight? Lucas: They started segmenting those clickers into a separate group. Then they built a three-email sequence specifically for that segment — more case studies, testimonials, a discount offer. The result: their paid conversion rate jumped forty percent in about six weeks. Luna: Forty percent — that's hard to ignore. But isn't behavioral segmentation, like, standard practice by now? I feel like every marketing blog tells you to do it. Lucas: You'd think. But the data says otherwise. I've seen surveys — one from Beehiiv's own blog last year — showing that fewer than thirty percent of newsletter writers use any kind of segmentation beyond basic list splitting. Most still send the same email to everyone. Luna: Wait, so they just blast their whole list? Even on Substack, where you can tag subscribers based on interests? Lucas: Exactly. The platforms have the tools — Substack has tags, Beehiiv has custom fields and segments, even Mailchimp has groups. But a lot of writers either don't know how to set them up or they're worried about overcomplicating things. And you can overdo it. I've seen newsletters with sixty segments and nobody managing them. Luna: That sounds like a nightmare. What's the sweet spot? How many segments should a small newsletter start with? Lucas: I'd say start with one. Pick the single most predictive behavior for your conversion — for 'The Marketing Edge' it was clicking a case study link. For a finance newsletter, it might be opening emails about IPOs. Just one segment. Test a sequence against your general send for a month. See what happens. Luna: That's smart — low risk, easy to measure. And if it works, you can add more segments gradually. I like that approach. Lucas: And that's actually a good point about testing. If these marketing insights are helping you think differently about your own newsletter, it's worth mentioning that this show stays ad-free thanks to listeners who chip in at buy me a coffee dot com slash fexingo. It's a small gesture that keeps us focused on the content, not the sponsors. Luna: Yeah, and honestly, it's things like segmentation that can actually move the needle for your newsletter. If you've gotten value from these episodes, consider supporting us. Lucas: So back to that finance newsletter example. I know a writer — let's call his newsletter 'Bull Market Briefs' — he used demographic segmentation instead. He asked new subscribers their industry during signup. Luna: Oh, like a preference center. Smart. Lucas: Right. He then tagged them — tech, healthcare, energy, etc. And for the tech segment, he'd include more startup and venture capital analysis. For healthcare, more biotech and FDA news. His open rates went from about thirty-eight percent to forty-eight percent in that segment. And his paid conversion among tech subscribers increased by twenty-five percent. Luna: That's a pretty clean example. But I wonder about privacy — some subscribers might not want to share their industry. And with new privacy regs, is it still okay to ask? Lucas: It's fine as long as you're transparent. You can say 'Tell us your industry so we can send you the most relevant content.' And you should let them update or opt out later. First-party data is actually more privacy-compliant than third-party tracking. The key is to use it responsibly and not sell it. Luna: Fair. So both behavioral and demographic segmentation work. But how do you actually set this up in Beehiiv or Substack? Can you walk us through the basics? Lucas: Sure. In Beehiiv, you go to your audience page, create a segment based on conditions — like 'clicked link A' or 'tag equals tech'. Then you can write an email that only goes to that segment. In Substack, it's a bit simpler: you create a tag, assign it to subscribers manually or via an automation rule, and then you can filter your posts to that tag. Luna: So the technical barrier is pretty low. The hard part is deciding what to segment on and what to send. Lucas: Exactly. I think the biggest mistake is creating segments without a clear purpose. You don't want to send different content just for the sake of it. Every segment should have a hypothesis — like 'this group will convert better if I show them social proof' or 'this group needs more education before they buy'. Luna: Right. And you can A/B test those hypotheses within the segment. Lucas: Yes. And as AI tools get better — like predictive models that tell you which subscribers are most likely to churn or convert — segmentation will become even more dynamic. Imagine an email that automatically adjusts its subject line and lead paragraph based on the subscriber's past behavior. Luna: That's both exciting and a little creepy. But I think most subscribers would appreciate more relevant emails. Lucas: If done well, yes. The newsletters that will thrive are the ones that treat their list as a group of individuals, not a monolithic audience. Segmentation is step one. Luna: Alright, I'm convinced. I'm going to look at my own subscriber data tonight and find one behavior to segment on. Lucas: Do it. Report back next week.