Email Revenue Forecast Calculator
Project your email revenue based on list size, engagement rates, and conversion metrics. See exactly how much revenue your campaigns will generate monthly and annually.
Enter Your Email Metrics
Total active subscribers
Industry avg: 15–25%
Industry avg: 2–3%
% of clicks that convert
Average purchase value
Typical: 4–8 per month
Your Revenue Forecast
Revenue per Campaign
—
Per email sent
Monthly Revenue
—
4 campaigns/month
Annual Revenue
—
Projected 12-month total
Conversions/Campaign
—
0.00% conversion rate
Email Revenue Benchmarks by Industry
Revenue per subscriber varies by industry, with ecommerce averaging £1.50–£4 per subscriber monthly and B2B/SaaS achieving £5–£15+ per subscriber.
Ecommerce Rev/Sub
£1.50–£4/mo
B2B/SaaS Rev/Sub
£5–£15/mo
Avg Conversion Rate
1–5%
How Email Revenue is Forecasted
Opens = List Size × (Open Rate ÷ 100)
Clicks = Opens × (Click-Through Rate ÷ 100)
Conversions = Clicks × (Conversion Rate ÷ 100)
Revenue per Campaign = Conversions × Average Order Value
Monthly Revenue = Revenue per Campaign × Campaigns per Month
This model assumes consistent performance across campaigns. Actual results vary based on seasonality, list quality, campaign creative, and offer strength.
Email Revenue Forecasting: How to Project Email Marketing Returns
Revenue forecasting transforms email marketing from a speculative activity into a predictable revenue channel with measurable outcomes. By modelling list size, engagement rates, conversion rates, and average order value, you can project monthly and annual revenue with reasonable accuracy — giving you the data needed to set realistic growth targets, justify email investment to stakeholders, and allocate resources strategically across campaigns.
The forecasting model chains together four key metrics: open rate (the percentage of subscribers who open your emails), click-through rate (the percentage of opens that result in clicks), conversion rate (the percentage of clicks that result in purchases), and average order value (the typical revenue per transaction). Multiply these together with your list size and campaign frequency to arrive at projected revenue. The model is deterministic — if you know your current metrics, you can forecast future performance with confidence as long as those metrics remain stable.
Using Forecasts to Set Growth Targets
Revenue forecasts reveal the two highest-leverage growth opportunities: increasing list size and improving engagement rates. Doubling your list size doubles revenue linearly, assuming engagement remains constant. Improving open rates, click-through rates, or conversion rates compounds across the funnel — a 10% improvement in open rate yields 10% more clicks, which yields 10% more conversions. Use this calculator to model scenarios: how much revenue would you gain by adding 1,000 subscribers? By improving your open rate by 5 percentage points? By lifting conversion rate from 2% to 3%?
Seasonality and Forecast Accuracy
Most businesses experience seasonal fluctuations in email performance. Ecommerce brands see revenue spikes in Q4 (November–December) and troughs in January–February. B2B companies often see lower engagement in summer months and year-end holidays. To improve forecast accuracy, calculate separate benchmarks for high, average, and low seasons, and weight your annual forecast accordingly. Track actual vs. forecast monthly to refine your assumptions and build confidence in the model over time.
Use this calculator quarterly to update your revenue projections and ensure your email strategy aligns with business growth targets. When you can forecast email revenue accurately, you gain the credibility to secure budget, hire support, and invest in automation infrastructure that scales the channel sustainably.