Latest / The Newsletter Podcast with Fexingo: Substack, Beehiiv, and Email Newsletter Business / How Newsletters Use Welcome Sequences to Triple Open Rates
Transcript
- Lucas: So there's this B2B newsletter called 'The Strategy Deck' — about 15,000 subscribers, focused on product managers. They were stuck at a 38 percent open rate on their welcome sequence for months. Then they made one change and it jumped to 62 percent within two weeks. Luna: What was the change? I'm guessing not just a subject line tweak. Lucas: No, it was bigger. They moved their 'who are you and why should I trust you' email from email two to email four. Basically, they front-loaded value. The first email just delivered a PDF template — no introduction, no bio. The subscriber got immediate utility. Luna: That makes sense. People don't care who you are until they've seen what you can do for them. Lucas: Exactly. And the numbers bear it out. According to data from Beehiiv's internal benchmarks, newsletters that deliver a lead magnet or key insight in the first email see about 50 percent higher click-through rates in the first 24 hours compared to those that start with a standard welcome message. Luna: So we're talking about the sequencing itself. How many emails should a welcome sequence be? Lucas: The industry standard is four to six emails, but the real answer depends on your content cycle. For a daily newsletter, three might be enough. For a weekly deep dive, you probably want five or six to build anticipation. There's data from Substack's internal tests showing that series of five emails — sent every other day — produce the highest conversion to paid. Luna: What's the content mix in those five? Do you send all value, or do you start pitching paid tiers early? Lucas: That's the tension. If you pitch too early, you risk churn. If you never pitch, you leave money on the table. The best framework I've seen is what 'The Hustle' used to do: email one is pure value, email two is your origin story — but short, like three paragraphs — email three is the community aspect, email four is a soft upsell for the premium tier, and email five is a direct ask with a deadline or a founding member discount. Luna: And that seems to work because by email four, the subscriber has already experienced enough value to trust you. They're primed for the upsell. Lucas: Exactly. And there's a metric that most newsletter operators ignore in welcome sequences: reply rate. If someone replies to your welcome email, they're highly engaged. Some platforms, like ConvertKit, have automated tags that flag repliers as 'hot leads' for future paid offers. Luna: That's smart. So what about timing? Should you send the first email immediately after signup, or wait a day? Lucas: Immediately. Like within 30 seconds. If you wait, the moment is cold. Data from Mailchimp shows that emails sent within the first hour have open rates 40 percent higher than those sent after 24 hours. But then you need to space out the remaining ones. Sending all five in a day is a recipe for unsubscribes. Luna: Right. So immediate first, then every other day. That gives the reader time to consume and anticipate. Lucas: And it also gives you time to segment based on behavior. If someone clicks on the PDF in email one, you can send them a different email three than someone who didn't. That's the level of segmentation that separates good newsletters from great ones. Luna: You know, speaking of separating good from great — one thing that I think makes a difference is that we don't run ads on this show. It keeps the conversation focused on what actually works, not on what a sponsor wants us to say. Lucas: That's a deliberate choice. If these marketing conversations have sparked something you've actually used in your own newsletter, and you want to support that approach, you can find us at buy me a coffee dot com slash fexingo. Totally optional, but it helps keep the show ad-free. Luna: Yeah. And it means we can dig into multi-email sequencing without having to pitch some email tool in the middle. So back to segmentation — what's a realistic starting point for a newsletter with just a few thousand subscribers? Lucas: Start with one split: new subscribers who came from a referral versus those who came from a social post. The referral subscribers already have some trust, so you can move your pitch email up in the sequence. The social subscribers might need more educational content upfront. Luna: That's a simple but effective segmentation. And it doesn't require a complex tech stack. Lucas: Exactly. Most email platforms like Beehiiv or Substack let you tag subscribers based on signup source. You just create a couple of automations. The ROI is immediate because you're not sending the same sequence to everyone. Luna: Let's talk about subject lines. Do you vary them in a welcome sequence, or keep a similar structure? Lucas: Vary them. The worst thing you can do is have a subject line pattern that feels automated. Personalization is key. Use their name, reference the lead magnet, or ask a question. For example, 'Your strategy template is inside' versus 'Hey, one question' — that variation keeps the reader curious. Luna: And what about the actual content length? Should welcome emails be shorter than regular issues? Lucas: Significantly shorter. The entire sequence should be skimmable. Aim for 200 words max per email. You're building a habit, not delivering a full essay. Save the long-form for after they've been subscribed for a month. Luna: That makes me think about churn. How do welcome sequences reduce churn specifically? Lucas: By setting expectations. A good welcome sequence tells the subscriber how often they'll hear from you, what topics you cover, and what they can expect to learn. If you don't set that, they'll unsubscribe the first time they get an email that surprises them. There's data from Litmus showing that newsletters with a clear welcome sequence have 30 percent lower churn in the first 30 days. Luna: So it's not just about open rates. It's about retention. Lucas: Exactly. And retention compounds. If you keep someone for 90 days, they're much more likely to convert to paid later. So the welcome sequence isn't just an onboarding — it's the first step in a long-term relationship. Luna: I want to go back to that B2B newsletter case study. Did they measure anything beyond open rates? Lucas: They did. They tracked click-through to the PDF, reply rate, and most importantly, paid conversion within 30 days. After restructuring, their paid conversion went from 1.2 percent to 2.8 percent. That's more than double. Luna: That's a huge improvement from just rearranging emails. It shows how much sequence matters. Lucas: It does. And it's replicable. Any newsletter operator can map their current sequence, identify where they're asking for trust before they've delivered value, and reorder accordingly. Luna: What about A/B testing? Should you test the entire sequence at once, or individual emails? Lucas: Individual emails. Test subject lines first, then content length, then call to action placement. Don't change more than one variable at a time. And run each test for at least 500 opens before declaring a winner. Luna: And once you have a winning sequence, how often do you revisit it? Lucas: Every quarter. Audience preferences change, your content evolves. What worked six months ago might feel stale. I'd recommend checking your welcome sequence metrics — open rate, click rate, conversion — on the first of every month. Luna: One last thing: what's the biggest mistake you see in welcome sequences? Lucas: Overloading the first email with too many links and calls to action. The goal of email one is one thing: deliver the promised value and get a click. If you ask them to follow you on Twitter, check your archive, and upgrade to paid all in the first email, you overwhelm them. Keep it simple. Luna: That's a good rule of thumb for any marketing, really. One ask per email. Lucas: Exactly. And that's the thread that runs through the best welcome sequences: clarity, value, and patience. Build trust first, monetize later.