Newsletter Open Rate Benchmark
A newsletter open rate benchmark is an industry reference point that tells you what percentage of subscribers typically open emails in a given niche or sector, used to judge whether your own open rates are strong, average, or cause for concern.
What Is Newsletter Open Rate Benchmark?
Open rate benchmarks exist because a 30% open rate means something very different depending on who you're sending to. A B2B technology newsletter hitting 22% might be performing brilliantly. A personal finance newsletter for retail consumers hitting the same number might be falling behind. Benchmarks give context, and without context, a raw open rate figure tells you almost nothing useful. The numbers themselves vary considerably by source and methodology. Mailchimp, Klaviyo, Campaign Monitor, and Beehiiv all publish benchmark reports, and they rarely agree. That's partly because they're drawing from different pools of senders, and partly because Apple's Mail Privacy Protection (MPP), introduced in 2021, inflated open rates across the industry by pre-loading tracking pixels regardless of whether a human actually opened the email. By 2026, most serious newsletter operators treat benchmark comparisons with a healthy degree of scepticism, particularly when the data source doesn't clarify how it accounts for MPP-inflated figures. As a rough working guide, independent newsletters and creator-led publications tend to outperform corporate email marketing by a significant margin. Engaged, opted-in audiences who signed up specifically for a newsletter will open at rates that bulk marketers can only dream about. Many strong independent newsletters run at 40% to 60% open rates. The broader email marketing industry average, across all types of commercial email, typically sits somewhere between 20% and 35% depending on the data source and how MPP is handled.
Why It Matters for Newsletters
Benchmarks matter because they stop you from celebrating mediocrity or panicking unnecessarily. If you've never sent a newsletter before, you have no baseline for what 'good' looks like. A benchmark gives you a starting point. It also matters when you're pitching sponsors, because advertisers and media buyers will often ask how your open rate compares to industry norms before committing budget to a newsletter sponsorship deal. That said, don't let benchmarks become a distraction. Your most important benchmark is your own historical performance. Are your open rates trending up or down over the past six months? That trajectory tells you far more about the health of your newsletter than any industry average. Use external benchmarks to sanity-check your position, but use your own trend data to actually make decisions.
Best Practices
- Always check whether a benchmark source accounts for Apple Mail Privacy Protection inflation before treating the figures as reliable, since unfiltered MPP data skews averages upward artificially.
- Compare your open rates against benchmarks within your specific niche rather than broad industry averages, since B2B, B2C, media, e-commerce, and creator newsletters have meaningfully different typical performance ranges.
- Track your open rate trend over rolling 90-day periods rather than fixating on individual issue performance, which can fluctuate based on send day, subject line, or seasonal factors.
- Segment your benchmark comparisons by subscriber source, since subscribers acquired through organic search or referral typically open at higher rates than those acquired through paid social or lead magnet downloads.
- Use click-to-open rate alongside raw open rate when benchmarking, since CTOR is less susceptible to MPP distortion and gives a cleaner read on whether engaged openers are actually finding your content compelling.
How Aldus Handles This
Aldus tracks your open rate trends over time and surfaces meaningful shifts in performance rather than just reporting a raw number per send. When your open rates move significantly in either direction, Aldus flags it with context so you can understand whether it's a subject line issue, a list health issue, or a deliverability issue, rather than leaving you to figure that out yourself.