Stop Bragging About Open Rates: The Five Numbers That Actually Forecast Newsletter Revenue
Let's be blunt about something the email marketing industry prefers to keep vague: open rates are broken, and subscriber counts are worse. Apple's Mail Privacy Protection began pre-loading images in 2021, inflating opens for anyone using Apple's default mail app — which, in the US, is a huge share of your list. Meanwhile, a subscriber count says nothing about whether those subscribers would pay for anything.
Yet walk into any creator community, from Austin accelerator meetups to independent newsletter Discord servers, and you'll still hear people lead with these two numbers. It's time to retire them from your dashboard and replace them with measurements that correlate with money.
1. Revenue Per Subscriber (RPS)
What it is: Total revenue attributed to the newsletter over a period, divided by active subscribers.
Why it matters: It compresses list size, monetization, and engagement into a single figure you can compare against any other channel — paid search, social, affiliates.
Benchmark: A newsletter selling its own products or services should aim for $1–$5 per subscriber per month. Advertising-supported newsletters in the US typically earn $0.50–$2.00 per subscriber monthly, depending on niche.
How to track it: If you use Stripe or Shopify, connect it to your newsletter platform (ConvertKit, Beehiiv, and Mailchimp all offer native integrations) and tag purchases to campaign sends. Review monthly.
2. List Churn Velocity
What it is: The percentage of subscribers who leave — via unsubscribe, spam complaint, or hard bounce — per month.
Why it matters: A list bleeding 5% monthly needs to grow 60% annually just to stand still. Churn is a leading indicator of content fatigue long before revenue dips.
Benchmark: Healthy US newsletters see 1–2% monthly churn. Above 3% sustained, something is wrong with your cadence, targeting, or expectations set at signup.
How to track it: Most platforms report unsubscribes per campaign. Log them monthly in a spreadsheet alongside list size and compute the ratio. Ten minutes a month.
3. Click-to-Delivery Rate
What it is: Unique clicks divided by successfully delivered messages — deliberately ignoring opens entirely.
Why it matters: Because opens are now unreliable, clicks are the only honest engagement signal most platforms give you. Clicks indicate intent, and intent is what advertisers and algorithms actually pay for.
Benchmark: 2–5% is typical for US consumer newsletters; well-targeted B2B lists can exceed 8%.
How to track it: Built into every major ESP's campaign report. The discipline is simply refusing to glance at the open-rate column.
4. Revenue Concentration Ratio
What it is: The share of newsletter revenue generated by your top 20% of subscribers or top campaign types.
Why it matters: If 80% of your income comes from a handful of whale buyers or one recurring sponsorship, you're running a fragile business wearing a newsletter costume. Concentration risk kills more creator businesses than churn does.
Benchmark: Aim for no more than 40% of revenue from any single source — one sponsor, one product, one affiliate partner.
How to track it: Export your revenue by campaign or product quarterly and sort descending. If the top line dwarfs the rest, prioritize diversifying your offer stack.
5. Subscriber Lifetime Value (LTV)
What it is: Average revenue per subscriber multiplied by the average months they remain subscribed (which you can derive from your churn velocity).
Why it matters: LTV tells you exactly how much you can afford to spend acquiring a subscriber. US creators routinely pay $2–$4 per subscriber through paid acquisition without ever checking whether that subscriber's LTV exceeds it.
Benchmark: A sustainable paid-acquisition strategy wants LTV at minimum 3x cost per subscriber. Below that, grow organically.
How to track it: Multiply your RPS by the reciprocal of your monthly churn rate (e.g., $1.50 RPS ÷ 0.02 churn = $75 LTV). Recalculate quarterly.
The Uncomfortable Takeaway
None of these five metrics require new software — they require honesty. Vanity numbers persist because they're easy and pleasant. The numbers above occasionally sting, but they're the ones that let you make real decisions: what to charge a sponsor, whether paid acquisition is viable, when a content pivot is overdue. Your list has been lying to you. These metrics make it tell the truth.