Every email list has a dollar value, but almost nobody can put a number on it until a send actually goes out and the sales roll in. This calculator turns the metrics you already track — subscriber count, open rate, click rate, conversion rate, and average order value — into a per-send and per-subscriber dollar figure, plus a straight-line projection of what that list is worth over a full year of sending at your current pace.
How it works
The engine funnels your list down through each stage of a real email campaign: subscribers who receive the send, the share of those who open it, the share of openers who click through, and the share of clickers who actually buy. Multiplying subscribers by each rate in sequence, then by your average order value, gives you the revenue a single campaign is likely to generate. That figure — revenue per send — is rounded to the cent first, and every other output is built from that already-rounded number rather than the raw, unrounded math, so the numbers you see always reconcile with each other.
From there, dividing revenue per send by your subscriber count gives revenue per subscriber — a useful way to compare list quality across segments or over time, independent of raw list size. And multiplying revenue per send by your sends-per-month and by 12 gives an annual list value: a straight-line estimate of what the list would generate over a year if your rates, order value, and send cadence held steady.
Worked example
Take a list of 10,000 subscribers with a 30% open rate, a 2% click rate, a 3% click-to-purchase conversion rate, and a $75 average order value, sent 4 times a month.
- Revenue per send: 10,000 × 30% × 2% × 3% × $75 = $135.00
- Revenue per subscriber: $135.00 ÷ 10,000 = $0.01
- Annual list value: $135.00 × 4 sends/month × 12 months = $6,480.00
Double the click rate to 4% — a realistic jump for a better subject line and cleaner segmentation — and revenue per send climbs to $270, pushing annual list value to $12,960 from the exact same 10,000 subscribers. Small engagement gains compound hard here, because every rate in the funnel multiplies the next.
How to interpret your result
This is a planning estimate, not a receipt. It assumes every send performs identically to your inputs, which real campaigns never do — a promotional blast can beat these numbers by a wide margin, while a quiet newsletter week or a deliverability hiccup can miss them just as badly. Feed it your trailing average across several recent sends rather than your single best campaign, and read the annual figure as a realistic midpoint for planning, not a guaranteed floor.
The input most worth double-checking is click rate. Enter it as clicks divided by total sends (what most email service providers label simply "click rate"), not clicks divided by opens ("click-to-open rate") — the click-to-open version is typically several times higher and will badly inflate every output if you enter it here by mistake. Conversion rate should come straight from your store or landing-page analytics filtered to email traffic, since it varies enormously by offer, list warmth, and industry. And because annual list value assumes today's subscriber count holds steady for a full year, rerun it with a projected count if your list is growing or shrinking quickly — this tool doesn't model churn or list growth on its own.
Methodology & sources
The formulas are revenuePerSend = subscribers × open% × click% × conversion% × avgOrderValue, revenuePerSubscriber = revenuePerSend ÷ subscribers (guarded to $0 when the list is empty, since an empty list has no revenue to divide), and annualListValue = revenuePerSend × sendsPerMonth × 12, with each output independently rounded to the cent.
The default open and click rates used in this calculator's example are anchored to Mailchimp's own published Email Marketing Benchmarks, which reports a retail/e-commerce average open rate near 30% — the same industry this tool's defaults are modeled on. Click-through and conversion rates vary far more by list, offer, and niche than open rates do, so those defaults are illustrative starting points, not universal benchmarks — swap in your own trailing averages for a materially more accurate result. This tool estimates only direct, trackable email-driven revenue; it doesn't account for assisted conversions (where email nudges a sale that closes through another channel later), brand-awareness value, or list decay from unsubscribes and inactivity over the projection period.