April 9, 2026 · 6 min read · Aldus

Newsletter Analytics You Should Actually Track

Most newsletter creators track the wrong things. Here's which newsletter analytics actually tell you something useful, and which ones to ignore.

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Newsletter Analytics You Should Actually Track

Most newsletter creators are drowning in numbers that don't mean anything. Open rates, click rates, subscriber counts — they stare at these figures every week, feel vaguely good or vaguely bad, and then do nothing differently. That's not newsletter analytics. That's anxiety with a dashboard.

The metrics worth tracking are the ones that change how you behave. Everything else is vanity. So let's get specific about what actually belongs on your radar, what's overrated, and what most people aren't measuring but absolutely should be.

Open Rate Is Lying to You

Since Apple introduced Mail Privacy Protection in 2021, open rates have been quietly broken for a large chunk of email audiences. Apple pre-fetches emails to protect user privacy, which means every email sent to an Apple Mail user gets counted as opened, whether it was read or not. Depending on your audience, that could inflate your open rate by 20, 30, even 40 percentage points.

That doesn't mean you should ignore open rates entirely. They're still useful as a relative signal — if your rate drops sharply week over week, something's wrong. A subject line flopped, your send time shifted, or you landed in spam. But as an absolute number to benchmark against industry averages? Mostly useless now. Treat it as a directional indicator, not a scorecard.

Subject line A/B testing also gets murkier without reliable open data. If you're testing purely on opens, you're probably making decisions based on noise. Test on clicks instead. It's a harder bar to clear, but it's real.

Click Rate Tells You What People Actually Want

This is where newsletter analytics start getting honest. Click-through rate (the percentage of recipients who clicked at least one link) tells you whether your content was interesting enough to prompt action. Someone reading your newsletter is passive. Someone clicking is engaged.

A few things worth watching here. First, your overall click rate across issues. If it's trending down over months, your content is drifting away from what your audience wants, even if they're still opening. Second, which specific links get clicked. Most email platforms show you click maps or at least a breakdown by link. Use them. If your main article link gets 4% clicks but a throwaway recommendation at the bottom gets 8%, that's editorial feedback you should act on.

Click-to-open rate (CTOR) is an underused variant that divides clicks by opens rather than total sends. Since it filters out people who never saw your email, it gives you a cleaner read on content quality. If your CTOR is strong but your click rate is low, your deliverability might be the issue. If your CTOR is weak, the content itself needs work.

The Newsletter Analytics Most Creators Skip

Unsubscribe rate gets tracked, but rarely interrogated. Most creators see a spike after a particular issue and feel bad, then move on. The smarter move is to pattern-match over time. Are you losing more subscribers after promotional emails? After you introduce a new section? After you increase send frequency? The unsubscribe rate isn't a punishment, it's information.

Spam complaint rate is one almost nobody monitors closely enough. Even a 0.1% complaint rate — one complaint per thousand sends — is enough to start damaging your sender reputation with major inbox providers. Gmail and Outlook use complaint rates as a core signal for filtering decisions. If yours creeps above 0.08%, you'll start seeing deliverability problems before you even know there's an issue. Check it every single week. Not monthly. Weekly.

Scroll depth and read time don't come standard in most email platforms, but if you're publishing long-form content and driving readers to a web version, you can track these via your analytics tool on the hosted page. A newsletter with a 60% open rate where nobody reads past the first two paragraphs is less healthy than it looks. Tools like Aldus surface engagement signals that help you see past the surface numbers and understand whether people are actually reading, not just clicking.

Forwarding rate. Massively overlooked. Every time someone forwards your email to a friend, that's organic word-of-mouth that you're not paying for. Some platforms track this natively. If yours doesn't, a share link within the email that you monitor separately can give you a rough proxy. High forward rates are one of the clearest signs that your content is genuinely valued, not just consumed passively.

Subscriber Growth Isn't the Metric You Think It Is

Raw subscriber count is the stat creators love to cite in their Twitter bios and pitch decks. It's also one of the least informative numbers in your analytics stack.

A list of 50,000 with 12% active engagement is worth considerably less than a list of 8,000 where 60% click regularly. Advertisers are starting to understand this. Readers certainly do when they're deciding whether to pay for a subscription. The number that actually matters is your active subscriber count, which you'll need to define yourself. A reasonable definition is anyone who has opened or clicked in the past 90 days.

Track your active subscriber percentage as a ratio, not just a number. If your list is growing 5% a month but your active ratio is shrinking, you're adding disengaged people faster than you're building real audience. That's a warning sign, especially if you're spending money on paid acquisition.

List churn rate — the percentage of subscribers you lose each month to unsubscribes and bounces combined — tells you how hard your acquisition needs to work just to stay still. If you're churning 3% monthly and growing 2%, you're going backwards. Simple maths, but plenty of creators never run it.

Revenue Per Subscriber Actually Matters

If your newsletter is part of a business — whether through ads, paid subscriptions, courses, or consulting leads — revenue per subscriber is the single most important number you should know. It turns your list from an ego metric into a business asset.

Divide your monthly newsletter revenue by your total subscriber count. Do it again for your active subscriber count. The gap between those two numbers tells you how much dead weight you're carrying and whether a list clean is worth running.

For newsletters running sponsorships, CPM rates (cost per thousand impressions) are how advertisers think about your audience. But your negotiating position depends on your engagement rates, not your subscriber count. A newsletter with 15,000 subscribers and a 45% click-to-open rate can charge more than one with 80,000 subscribers and a 7% CTOR. Know your numbers before you enter those conversations.

Paid conversion rate matters for newsletters with a subscription tier. If you're converting 2% of free subscribers to paid, is that good? Depends enormously on your niche, price point, and how aggressively you're promoting the upgrade. But tracking it monthly gives you a baseline to test against. Change your upgrade CTA, run a promotion, write a particularly strong issue, and watch whether the needle moves.

Build a Dashboard You'll Actually Use

The worst newsletter analytics setup is a sprawling report full of numbers you check once a quarter when you're already anxious about something else. Pick eight to ten metrics that map directly to your goals, and check them consistently after every send.

A practical short list for most newsletter creators: click-through rate, click-to-open rate, spam complaint rate, unsubscribe rate, active subscriber percentage, and (if you're monetising) revenue per subscriber. That's it. Everything else is context you bring in occasionally when something looks off.

Don't benchmark yourself against industry averages unless you're in a commoditised niche. A B2B fintech newsletter and a personal essay newsletter have completely different audience behaviours. Your most useful benchmark is your own history. Last month vs. this month. This quarter vs. last year. Are things improving? That's the question that matters.

The newsletters that grow well aren't the ones with the most data. They're the ones run by people who know which numbers to trust, which ones to question, and when to stop staring at charts and just write something worth reading.

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