Your unique open rate
43.0%
Free email analytics tool
An email open rate benchmark tool calculates unique opens as a percentage of delivered messages and compares the result with a practical industry and list-type planning range. Use it to choose a diagnostic next step, not to declare a universal winner.
Campaign inputs
Use delivered messages and unique opens from one campaign. Choose the closest industry and audience context for a directional planning range.
Benchmark result
Your unique open rate
43.0%
Starter range
32.0%-51.0%
Midpoint 41.0%
Versus midpoint
+2.0 pp
percentage points
The campaign sits inside this starter range. Treat the result as a baseline and optimize the downstream action.
Keep the winning audience and subject pattern as a control for the next test.
Segment the result by lifecycle stage, device, or engagement recency to find useful variation.
Prioritize click, reply, activation, or conversion rate when the open rate is already healthy.
Apple Mail Privacy Protection and other image-proxy behavior can inflate opens. These editable planning ranges are not universal standards; compare like-for-like campaigns and include clicks, replies, activations, and conversions.
A behavior-triggered onboarding email and a broad newsletter serve different audiences. Keep message type, lifecycle stage, and engagement recency comparable.
If the result is weak, test one subject, sender, timing, or segment hypothesis at a time so the next campaign teaches you something.
An open is only an attention signal. Use clicks, replies, activations, conversions, unsubscribes, and complaints to judge the business outcome.
An email open rate benchmark is a directional comparison range for similar campaigns. It helps you spot unusually weak or strong results, but your own like-for-like campaign history is the most useful baseline.
Divide unique opens by delivered emails, then multiply by 100. Use delivered emails rather than total sends so bounces do not lower the rate.
A good rate depends on industry, audience recency, message type, sender recognition, and measurement. Treat broad ranges as a starting point and compare equivalent campaigns over time.
Yes. Apple Mail Privacy Protection and other image proxies can load tracking pixels without a person actively reading the message, which can inflate reported opens.
Use clicks, replies, activations, conversions, unsubscribes, and spam complaints alongside opens. Those actions show whether attention became useful engagement.
DripAgent helps teams map product signals and customer context into review-ready onboarding, activation, retention, and re-engagement emails.
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