Latest / The Newsletter Podcast with Fexingo: Substack, Beehiiv, and Email Newsletter Business / Why Your Newsletter Database Decays 22 Percent Per Year
Transcript
- Lucas: Alright, so I want to start with a number that's been rattling around in my head for the past week. Twenty-two percent. Luna: You're going to tell me that's the annual churn rate for newsletter lists, aren't you? Lucas: You've obviously been reading the same Beehiiv internal benchmarks I have. But yeah, twenty-two percent — that's the median annual decay rate across all newsletters on their platform, from solopreneur side projects to big media brands. And I think most writers have no idea that number exists. Luna: I mean, I know churn is a thing, but twenty-two percent feels aggressive. That's more than one in five subscribers vanishing every year. Lucas: It is aggressive. And when you stack it over multiple years, the math gets brutal. If you start with ten thousand subscribers and you don't actively backfill, in three years you're down to under five thousand — even if no one hits unsubscribe. Just from email address decay, spam filters getting stricter, people switching jobs, abandoning old inboxes. Luna: So the popular narrative that 'I just need to grow my list to 100,000 and then I'm set' is basically a fairy tale. Lucas: Exactly. Because that hundred-thousand number is a snapshot, not a flow. The real question is: what's your net retention rate? And most newsletter operators — especially the ones who came from social media and treat email like a broadcast channel — aren't tracking it. They see open rates slowly dipping and they think 'oh, the algorithm changed' or 'my subject lines need work'. Luna: When actually the denominator itself is quietly rotting. Lucas: Right. So I want to walk through the mechanics of list decay, then talk about one specific case — a parenting newsletter called 'The Third Trimester' that lost fifty percent of its engagement in eleven months — and then look at what actually works to slow the decay. Not growth hacks. Retention tactics. Luna: Alright, let's start with the mechanics. Why is twenty-two percent the baseline? Lucas: A lot of it is structural. Beehiiv's data breaks it into three buckets. About eight percent is hard bounces — invalid addresses, full inboxes, servers that reject the email outright. Another seven percent is what they call 'passive churn' — the subscriber never unsubscribes, but they stop opening, and eventually the email provider starts routing your mail to spam because engagement is low. The remaining seven percent is active unsubscribes. Luna: So the passive churn bucket is the scary one, because you don't get a signal. You just lose deliverability gradually. Lucas: Exactly. And a lot of writers only look at the unsubscribe rate and think 'oh, I'm doing fine, only 0.3 percent unsubscribed this week'. Meanwhile their deliverability is being dragged down by that silent seven percent who've just stopped engaging. Gmail and Outlook use engagement as a signal — if people aren't opening, your emails start going to the promotions tab or spam, even for engaged readers. Luna: It's like a feedback loop. The less they open, the less likely they are to see your emails, so they open even less. Lucas: Yeah. And then there's the third bucket — the 'lost access' group. People change jobs, their old work email gets deactivated. That's a big one for newsletters that grew via LinkedIn or conference sign-ups. If you collected email addresses at a trade show in 2023, a chunk of those people have already moved companies. Luna: Okay, so let's talk about the case study. 'The Third Trimester' — what happened there? Lucas: So this was a newsletter started by a writer named Jenna K. in early 2024. She built it around pregnancy and early parenting — very specific, very loyal audience. She grew to about fifty thousand subscribers in nine months, mostly through Instagram and a few guest posts on larger parenting sites. By November 2024, she had open rates around forty-five percent, which is fantastic for email. Luna: And then? Lucas: By October 2025, her open rates were down to twenty-two percent. She hadn't changed her content. She was still publishing twice a week. But her list had aged. The people who signed up in early 2024 had babies who were now toddlers — they were in a different stage. They weren't opening emails about first-trimester nausea anymore. But she kept sending to the same list. Luna: So her content didn't decay — her audience's relevance did. Lucas: That's exactly it. And because she didn't segment by baby's age or by engagement level, the whole list dragged down her deliverability. She went from forty-five percent open rate to twenty-two in eleven months. That's a fifty-one percent drop in engagement. Her sponsorship rates — which were tied to opens — cratered. She went from charging three thousand dollars per sponsorship to barely eight hundred. Luna: That's brutal. And it's not a content quality problem. It's a database hygiene problem. Lucas: Right. So what did she do? She started a re-engagement campaign. She sent a simple email to everyone who hadn't opened in sixty days: 'Hey, you're getting this because you signed up for The Third Trimester. If you're no longer in that phase, no hard feelings — here's a link to update your preferences or unsubscribe. If you want to stay, we'll send you content better suited to your stage.' She lost about twelve thousand subscribers from that email. Luna: That sounds scary. Most writers would never do that. Lucas: It's terrifying. But her open rates bounced back to thirty-eight percent within a month. And her deliverability improved because Gmail now saw that the people receiving her emails were actually opening them. Her sponsorship rates recovered to about twenty-two hundred dollars per send. She lost twenty-four percent of her list but saved her engagement. Luna: So the conventional wisdom — never prune your list, because you want a big number for sponsors — is actually costing you money. Lucas: It is. Sponsors who know what they're doing look at engagement metrics, not total subscriber count. If you have fifty thousand subscribers but a twenty-two percent open rate, your actual reach is eleven thousand. A cleaner list of thirty-five thousand with a thirty-eight percent open rate reaches thirteen thousand — more engaged readers, better sponsor ROI. Luna: And the sponsor will probably pay more for the engaged list because the click-through rates are higher. Lucas: Exactly. So the first line of defense against list decay is: know your decay rate. Track your month-over-month net subscriber change, and separate the 'new subscribers' from the 'churned' ones. Most email platforms give you this data, but most writers don't look at it. Luna: What's the metric to watch? Is it just open rate? Lucas: Open rate is useful, but a better one is 'active subscriber rate' — the percentage of your list that has opened at least one email in the past sixty days. Beehiiv and Substack both let you see this. If that number is trending down faster than your new subscriber growth, you're running on a treadmill. You're adding people at the top while losing them at the bottom. Luna: And most writers are adding net subscribers every month, so they don't notice the decay until it's too late. Lucas: Yeah. And now I want to talk about the strategy that surprised me the most — because it has nothing to do with better writing or more frequent emails. Luna: Alright, I'm curious. Lucas: It's a concept called 'list temperature'. The idea is that every email you send either warms or cools your relationship with your subscribers. And one of the biggest cooling factors is not the content — it's inconsistency. If you send three emails in a week, then nothing for three weeks, then two emails, then nothing for a month, you're training your subscribers to ignore you. They never build the habit of opening. Luna: That sounds obvious, but I bet most part-time newsletter writers are exactly that inconsistent. Lucas: Totally. And the data bears it out. Beehiiv looked at newsletters that published on a fixed schedule — same day, same time, at least weekly — versus those that published irregularly. The fixed-schedule newsletters had a median annual decay rate of fifteen percent, compared to twenty-eight percent for the irregular ones. That's a huge difference. Just by being predictable, you cut your churn by almost half. Luna: So consistency is actually a retention tool, not just a production discipline. Lucas: Right. And the second thing that works — and this is the part I find most counterintuitive — is actually sending fewer emails to your least engaged subscribers. A lot of writers think 'if engagement is low, I should send more to try to re-engage them'. But the data shows the opposite. If someone hasn't opened in sixty days, sending them more emails just makes them more likely to mark you as spam, which hurts your deliverability for everyone. Luna: So you throttle down for the cold part of the list. Lucas: Exactly. Some platforms let you set a 'suppression window' — automatically skip sending to anyone who hasn't opened in, say, ninety days. You lose a few opens in the short term, but your deliverability for the core list improves. And those suppressed subscribers can get a monthly re-engagement email instead of every single send. Luna: That's smart. It's like triage for your database. Lucas: Yeah. And the third tactic — this is the one I think is most underused — is the 'exit survey'. When someone unsubscribes, ask them why. Not to change their mind, but to collect data. If you see a pattern — 'too many emails', 'content no longer relevant', 'I never signed up for this' — you can adjust your strategy. Most writers just say 'bye' and move on. Luna: We actually did a segment on exit surveys in episode twelve of the main Fexingo podcast. They're gold for product improvement. Lucas: Totally. So to sum up the practical playbook: track your active subscriber rate, not just total count. Prune your list at least quarterly. Send on a predictable schedule. Segment by engagement. And use exit surveys. That's the anti-decay toolkit. Luna: That's a good list. I want to add one more from my own experience — from when I was running a small newsletter for a startup. We did a 'preference center' where subscribers could choose frequency: daily, weekly, or monthly. The people who chose monthly had a much higher long-term retention rate than the ones who were on daily but never opened. Lucas: That's a great point. Giving people control over frequency is a form of respect. And it directly addresses the 'too many emails' reason for unsubscribing. Luna: Yeah. And on that note — if today's episode was useful to you and you want to keep it ad-free, buy me a coffee dot com slash fexingo helps. That's literally what keeps these conversations going. Lucas: And we really appreciate it. So back to the data — one thing I haven't mentioned is the seasonal effect. List decay actually spikes in January and September. January because people are doing inbox cleanups as a New Year's resolution. September because a lot of people change jobs after the summer. Luna: So those are actually good months to do a big re-engagement push, because you're going to lose people anyway — better to lose them on your terms and keep your list clean. Lucas: Exactly. Plan your pruning around those peaks. And if you're a seasonal newsletter — like a tax newsletter or a gardening newsletter — expect higher decay in off-season months. Segment accordingly. Luna: Alright, so let's talk about the elephant in the room: the migration from Substack to Beehiiv or vice versa. Does switching platforms affect decay? Lucas: It can, because when you import a list, you're essentially resetting your sender reputation with email providers. Some writers see a temporary spike in bounces and spam complaints. But if you're moving from a platform that allowed a lot of dead addresses to accumulate, the new provider's stricter deliverability standards can actually force you to clean your list. It's painful but healthy. Luna: So the platform switch itself isn't a decay problem — it's a decay reveal. Lucas: That's a great way to put it. And the writers who come out the other side with a smaller but more engaged list are usually happier. They have better relationships with their readers, better sponsorship income per subscriber, and less noise. Luna: I think that's the key takeaway from this whole episode — list size is vanity, list health is sanity. Lucas: Yeah. And the twenty-two percent decay rate is not a death sentence. It's just a fact of physics. The question is whether you're going to manage it or ignore it. Luna: And if you ignore it, your newsletter will slowly die — not because your writing got worse, but because your database rotted underneath you. Lucas: Right. So next time you're tempted to celebrate hitting a subscriber milestone, take a look at your active subscriber rate first. That's the number that actually matters. Luna: Good note to end on. Thanks, Lucas. Lucas: Thanks, Luna.