Email marketing return on investment (ROI) measures how much profit you earn for every dollar you spend on an email campaign. It connects your top-of-funnel metrics like opens and clicks with bottom-line results like revenue and profit.
This calculator turns your core campaign metrics into an estimated revenue and ROI figure. By adjusting the inputs, you can quickly see how changes in open rate, click rate, conversion rate, or average order value affect profitability.
Emails Sent is the total number of messages delivered to your list for the campaign you are analyzing. It should represent a single send or a clearly defined series (for example, a three-part promo sequence).
Open Rate is the percentage of recipients who opened your email at least once. It is usually reported by your email service provider. Higher open rates suggest that your subject lines, sender name, and sending reputation are strong and that your audience finds your content relevant.
Click Rate is the percentage of opened emails that resulted in at least one click on a link or call-to-action in the email. It reflects how compelling your offer, copy, and design are to people who actually read the email.
Conversion Rate is the percentage of clickers who complete your desired action. In most cases this will be a sale, but it could be a lead form, free trial, or another key action that has monetary value for your business.
Average Order Value (AOV) is the average revenue per completed order or conversion that comes from the email campaign. If you are tracking direct sales, calculate this as total revenue from the campaign divided by the number of orders.
Campaign Cost is the total cost of running this specific campaign. It can include design and copywriting, list rental (if applicable), one-off creative fees, and any additional sending or software costs attributable to this campaign.
The calculator estimates how many people move through each stage of your funnel and then translates that into revenue and ROI.
In formula form:
Email Marketing ROI (%) = ((Email Revenue − Campaign Cost) ÷ Campaign Cost) × 100
Using MathML, the same ROI expression can be written as:
After you hit Calculate, you will typically see at least three key outputs in your results area:
Here is how to interpret common ROI ranges:
Keep in mind that a very high ROI on a tiny spend can sometimes indicate that you are under-investing in a winning channel. On the other hand, a lower ROI on a strategic campaign (for example, onboarding or reactivation) may still be useful if it drives long-term customer value that is not fully captured here.
Suppose you run a promotional email campaign with the following metrics:
Step-by-step calculation:
In this example, the campaign actually loses money because the conversion rate and volume are too low relative to the cost. If you instead had a 10% conversion rate, the same campaign would look like this:
This simple change in conversion rate flips the campaign from unprofitable to profitable. Use the calculator to explore similar what-if scenarios before and after your campaigns.
The table below shows three simplified scenarios you can use as rough benchmarks. Actual performance will vary widely by industry, list quality, and offer.
| Scenario | Open Rate | Click Rate | Conversion Rate | Average Order Value | Approximate ROI |
|---|---|---|---|---|---|
| Underperforming Campaign | 15% | 1.5% | 1% | $40 | Negative or near 0% |
| Typical Campaign | 20%–25% | 2%–3% | 2%–3% | $50 | Modest positive ROI (e.g., 50%–200%) |
| High-Performing Campaign | 30%+ | 4%–6% | 4%+ | $60+ | High ROI (e.g., 200%–500%+) |
Use these scenarios as directional guidance only. The most important comparison is between your own campaigns over time as you improve your strategy.
To keep the tool simple and fast, several assumptions are built into the calculations. Understanding these limitations will help you interpret the results correctly.
Because of these assumptions, you should treat the ROI output as an estimate that is most useful for comparison and decision-making, not as a full financial report. For more advanced analysis, you may want to combine these results with customer lifetime value, acquisition cost, or retention metrics from other tools.
The accuracy depends on the quality of your input data. If you use measured opens, clicks, conversions, and revenue from a reliable analytics setup, the ROI estimate will be close to your true direct campaign ROI. If you rely on rough guesses, treat the result as a directional guide rather than a precise figure.
You can, but it is not required. Some teams include a portion of their monthly email service provider cost allocated to the campaign, especially if they send infrequently. Others count only incremental campaign costs. The key is to be consistent across campaigns so that comparisons remain meaningful.
Open rate measures how many recipients opened your email, while click rate measures how many of those openers clicked a link. Open rate is influenced by subject lines and send timing, whereas click rate is more about the content and offer inside the email.
If your email drives subscriptions or repeat purchases, you can either use the first payment as Average Order Value for a conservative estimate, or use a higher value that reflects expected customer lifetime revenue. Just be clear and consistent about which approach you choose.
At a minimum, measure ROI for every major campaign or automation flow. Many teams also track it monthly or quarterly to spot trends, evaluate experiments, and rebalance budget across channels.
Once you understand your email marketing ROI, you can make more confident decisions about where to invest time and budget. Compare ROI across different list segments, campaign types, and offers. Prioritize campaigns that consistently produce strong returns, and test improvements on underperforming ones. Over time, this disciplined approach can turn email into one of your highest-ROI marketing channels.