Formulas and metrics

Open Rate

The percentage of recipients who open a delivered email, used to gauge the effectiveness of subject lines and sender reputation.

Tomba Team
March 23, 2026

Open rate is a key email marketing and sales outreach metric that measures how many recipients actually opened your email out of the total number successfully delivered. It is calculated by dividing the number of unique opens by the number of delivered emails (excluding bounces), then multiplying by 100. This metric serves as a front-line indicator of how well your subject lines, sender name, and timing resonate with your audience.

For B2B cold outreach, open rates typically range between 15% and 30%, though top-performing campaigns can exceed 50%. Several factors influence this metric: a compelling subject line, a recognizable sender name, the time of day the email is sent, and the overall reputation of your sending domain. If your emails are landing in spam folders due to poor deliverability, your open rates will suffer regardless of how good your content is.

It is worth noting that open rate tracking relies on a tiny tracking pixel embedded in the email, and privacy features like Apple's Mail Privacy Protection can inflate open rate numbers by pre-loading images. Despite these limitations, open rate remains a valuable directional metric for comparing the performance of different campaigns and subject line variations.

Key Points

  • Calculated as (unique opens / delivered emails) x 100
  • Primarily reflects the effectiveness of subject lines and sender reputation
  • Privacy features can affect tracking accuracy, so use as a directional metric

How It Works

When a recipient opens an email, a small invisible tracking pixel is loaded from the sender's server, registering the open. Email platforms aggregate these signals to calculate the overall open rate for each campaign. Comparing open rates across campaigns helps identify which subject lines and sending strategies perform best.

Best Practices

  • Write concise, curiosity-driven subject lines that are relevant to the recipient
  • Test different send times and subject line formats through A/B testing

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