Campaign Performance Calculator
The complete email campaign report. Calculate delivery rate, open rate, CTR, CTOR, conversion rate, revenue per email, and ROI in one place.
Enter Your Campaign Data
Fields marked * are required. Add optional fields for additional metrics.
Optional — Revenue & Conversion Data
Your Campaign Report
Delivery Rate
Delivered ÷ Sent
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Open Rate
Unique Opens ÷ Delivered
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CTR
Unique Clicks ÷ Delivered
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CTOR
Unique Clicks ÷ Unique Opens
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Conversion Rate
Conversions ÷ Delivered
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Revenue per Email
Revenue ÷ Emails Sent
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Email ROI
(Revenue − Cost) ÷ Cost
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Full Campaign Benchmarks
| Metric | Good | Average | Needs Work |
|---|---|---|---|
| Delivery Rate | ≥ 98% | 95–98% | < 95% |
| Open Rate | > 30% | 20–30% | < 20% |
| CTR | > 3% | 1–3% | < 1% |
| CTOR | > 20% | 10–20% | < 10% |
| Conversion Rate | > 2% | 0.5–2% | < 0.5% |
| Email ROI | > 4000% | 1000–4000% | < 1000% |
Reading Email Campaign Performance as a Complete Picture
Individual email metrics — open rate, click rate, conversions — each tell part of the story. But the real value comes from reading them together. A campaign with a high open rate and low CTR suggests the subject line over-promised and the body under-delivered. A high CTR with poor conversions points to a disconnect between the email and the landing page. Viewing all your key metrics in one calculation reveals where in the funnel subscribers are dropping off, and where to focus your optimisation effort.
Conversion rate in email — the percentage of delivered emails that led to a desired action such as a purchase, sign-up, or download — is the ultimate performance indicator for revenue-driving campaigns. While open and click rates are leading indicators of engagement, conversion rate is the lagging indicator that confirms whether engagement translated into business value. For e-commerce brands, tracking revenue per email alongside conversion rate gives an even clearer read on campaign efficiency.
Benchmarking Across Campaigns
The most useful benchmarks are your own. Rather than comparing against industry averages published in annual reports, build a baseline from your last 10–20 campaigns. Calculate the median open rate, CTR, and conversion rate across that set, then assess new campaigns against that personalised benchmark. This approach accounts for your specific audience, sending frequency, industry, and product — factors that make generic averages unreliable for day-to-day decision-making.
Using Campaign Data to Inform Strategy
Campaign-level data is most powerful when it accumulates over time. Tracking performance across many sends reveals patterns: which send days perform best, whether shorter or longer emails drive more clicks, whether revenue-focused CTAs outperform educational ones. These patterns are not visible in any single campaign result — they emerge from consistent measurement over months and quarters.
Run every campaign through this calculator and keep a record of the numbers. Even simple tracking in a spreadsheet compounded over a year gives you analytical insight that most email marketers never reach.