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What is Email Open Rate?

Share of delivered emails that were opened.

How to calculate it

Calculate Email Open Rate as: Emails opened / Emails delivered × 100. Pull the inputs from your connected data and track the trend over time in your dashboard.

Examples

Example 1

5,000 delivered, 1,400 opens -> 28%. Apple Mail inflates opens, so pair this with click-through rate.

Example 2

A newsletter to 8,000 subscribers gets 2,400 opens -> 30%. Opens hold steady but clicks fall, suggesting the content, not the subject line, needs work.

Why it matters

Email open rate is the share of delivered emails that are opened and indicates subject-line strength and overall list health. It is an early signal of deliverability problems and audience engagement trends. Since privacy features now inflate opens, it should be interpreted alongside click-through and conversion rather than on its own.

Benchmark context

Roughly 20-35% across industries; track the trend and pair with clicks, since Apple Mail Privacy Protection has made absolute open rates less reliable.

Common pitfalls

Apple Mail Privacy inflates opens; pair with clicks.

The complete guide

Understanding Email Open Rate

Email open rate is the share of delivered emails that are opened and indicates subject-line strength and overall list health. It is an early signal of deliverability problems and audience engagement trends. Since privacy features now inflate opens, it should be interpreted alongside click-through and conversion rather than on its own. For context, roughly 20-35% across industries; track the trend and pair with clicks, since Apple Mail Privacy Protection has made absolute open rates less reliable. Treat an external benchmark as a reference point rather than a universal target: company stage, sector, customer mix, pricing model and measurement definitions can materially change what “good” looks like. Read Email Open Rate alongside Click-Through Rate and Unsubscribe Rate; together these measures provide a more balanced view and reduce the risk of optimizing one number at the expense of the wider outcome.

Make sure the numerator and denominator cover compatible populations and periods, and avoid dividing by a partial or unusually small base. Keep attribution windows, channel classifications, conversion events and cost inclusions stable across every comparison. Segment the result by channel, campaign, audience, device and landing page; an aggregate figure can conceal a strong source subsidizing a weak one. A dashboard should show the current value, prior-period comparison and a trend rather than presenting one isolated reading.

Improvement should start with measurement and intent: verify attribution, isolate the audience and creative combinations producing qualified outcomes, and optimize toward downstream value rather than inexpensive activity alone. Common pitfalls: apple Mail Privacy inflates opens; pair with clicks. Record the definition beside the dashboard, review it when systems or processes change, and annotate unusual events so future readers can distinguish a genuine performance shift from a data or timing effect.

Sources and further reading

  1. How to measure email marketing success

    Mailchimp Accessed

  2. GA4 traffic acquisition report

    Google Analytics Help Accessed

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Also mentioned

Unsubscribe Rate

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