Email Marketing Metrics: Which Numbers Actually Tell You If It's Working
Open rates are inflated. Click rates are better. Conversion rates are what actually matter. A practical guide to email metrics and what good looks like in 2026.
Email Marketing Metrics: Which Numbers Actually Tell You If It's Working
Email platforms report a lot of numbers. Most of them are noise. Here are the ones that matter and the ones that lie.
The metrics that matter
Click-through rate (CTR). The percentage of delivered emails that generated at least one click. Across industries in 2025, the average CTR is roughly 1.4-2.1%, with significant variation by industry: media and publishing trend higher (around 4%), ecommerce trends lower (1.1-1.5%), B2B averages around 3.2%. CTR is the most reliable engagement metric because it measures an active behavior — someone chose to click. It can't be inflated by Apple's Mail Privacy Protection the way open rates can.
Conversion rate. The percentage of clicks (or delivered emails, depending on how you define it) that resulted in the desired action — a purchase, a signup, a download. This is the metric that connects email to business outcomes. Track it per campaign and per automated sequence. Automated sequences consistently produce higher conversion rates than one-off broadcasts because the timing and relevance are inherently better.
Unsubscribe rate. The percentage of recipients who opted out. The average is roughly 0.1-0.2% per send. A spike in unsubscribe rate is a signal that the content wasn't relevant or the frequency was too high. A consistently low unsubscribe rate over time means you're maintaining permission. This metric deserves more attention than it gets — it's the closest thing email has to a trust indicator.
Revenue per email. Total revenue generated divided by total emails sent. This normalizes for list size and campaign frequency. It's the single best metric for evaluating email program performance over time because it captures both engagement and monetization in one number.
The metric that lies
Open rate. Apple's Mail Privacy Protection pre-loads email content, including tracking pixels, which inflates open rates for Apple Mail users. The result: open rates appear higher than they actually are, and the inflation is inconsistent across audiences (audiences with more Apple users show more inflation). Open rates are still directionally useful — a sudden drop probably means something — but they're no longer reliable enough to optimize against. Don't A/B test subject lines based on open rates. Use click rates instead.
What "good" looks like
Industry benchmarks are useful for diagnosing catastrophic problems — if your CTR is 0.1%, something is wrong. They're less useful for optimization — the difference between 2.1% and 2.4% might be within normal variance.
The benchmark that matters is your own historical performance. Track your metrics month over month. The goal is improvement against your own baseline, not against an industry average that aggregates businesses with different audiences, different content, and different objectives.
The one benchmark worth paying attention to: automated workflows consistently outperform broadcast sends across all industries, often by a factor of 2-3x in revenue per recipient. If you're not using automation, you're leaving the largest email performance lever unused.