Meeting

Email ROI Calculator

What is your email list actually generating?

A 50,000-subscriber list looks impressive on a slide. The real question is what each send adds to revenue, what each unsubscribe costs, and whether sending more (or less) lifts the bottom line.

$36
Avg return per $1 spent on email
21.5%
Median open rate (all industries)
0.20%
Avg unsubscribe rate per send
2.6%
Healthy click-to-order conversion
Estimated Monthly Email Revenue
$0
Based on your current cadence and list. Nirvani sequencing is scoped to your operation on the strategy call.
0
Sends Delivered / Month
0
Orders From Email / Month
$0
Annual Run Rate
SaaS

Sets sensible defaults for list size, cadence, opens, clicks, conversion, and AOV.

12,000

People who have opened or clicked at least once in the last 90 days. Stop counting dead weight.

Model default: 10k-25k
1.5

Average sends including newsletters, drips, and broadcasts. Half values let you model bi-weekly cadence.

Model default: 1-2 / wk
32%

% of delivered messages opened. Apple Mail Privacy Protection inflates this by 8-12 points for iOS opens.

Model default: 28-35%
3.5%

Clicks divided by opens. The strongest pulse-check on subject-line and content quality.

Model default: 2.5-4%
4% · $150
Click-to-Order 4.0%
AOV $150

% of clickers that complete a transaction, and the average value of that order.

Model default: 3-5% · $120-200
Revenue Per Send
$0.00
Average dollars produced for every delivered message.
Revenue Per Subscriber
$0.00
Monthly dollars per active subscriber. The truest list-health metric.
Monthly Orders
0
Transactions driven by email each month, at current cadence.
Annual Run Rate
$0
12 x current monthly revenue. Excludes seasonality and growth.
Send Frequency Optimizer
Current Peak revenue
Best cadence for this list based on engagement decay and unsubscribe drag. Lift over your current frequency:
+$0 / mo at 0/wk
Unsubscribe Drag
Assumed 0.20% unsubscribe per send (model default)
Unsubs / Year
0
Subscribers lost over 12 months at current cadence.
% List Shrink / Year
0%
Net of unsubs only. Bounces and inactivity add more.
$ Drag / Year
$0
Annual revenue lost from departed subscribers, not replaced.
How You Compare With the Model Defaults
Model default You
Open rate % of delivered messages opened
32%
Click-through Clicks / opens (engagement quality)
3.5%
Click-to-order % of clickers that convert
4.0%
Revenue per send Dollars produced per delivered message
$0.00
Revenue per subscriber Monthly $ / active subscriber
$0.00
Sensitivity: which lever moves revenue most?
Modeled against your current inputs
Operator Playbook
1 Suppress inactive subscribers every 90 days. A list of 8k engaged readers prints more revenue than a list of 50k where 70% never open. Deliverability rises, open rates rise, revenue per send rises. The number on the slide goes down. Profit goes up.
2 Segment by purchase recency, not demographics. A buyer in the last 30 days converts at 4 to 8 times the rate of a buyer from 6 months ago. Recency is the single strongest predictor of the next click and the next order.
3 Cadence is a curve, not a constant. Most lists peak between 1 and 3 sends per week. Above that, marginal revenue from extra sends collapses while unsubscribe drag compounds. The optimizer above shows where your list sits.
4 Optimize for revenue per subscriber, not open rate. Open rate is vanity. A subscriber worth $4 a month at a 22% open rate beats a subscriber worth $0.40 a month at a 48% open rate every single time.
5 Turn one-shot broadcasts into 4-touch flows. Welcome, abandoned-cart, post-purchase, and win-back sequences typically generate 30 to 40% of total email revenue with under 5% of total sends. Build the flows before you write the next newsletter.

What happens next

You just valued the list. Now meet the agent that answers every reply.

Nirvani installs AI employees that answer every call, text back every missed one and book the work straight into your calendar. Everything below is free and live today.

01Hear it live Call 424.444.1142. An AI employee answers.

Day or night, no hold music. Ask it anything a customer would ask you. That voice is the one we configure for your business.

Call the agent 02Fifteen minutes Leave with one free AI agent.

An intro meeting with a principal. We map how leads reach you today, then configure one agent for how you actually operate. Pledge 1% give-back, no card.

Book the intro 03The playbook The Leak Report

Where revenue quietly disappears: missed calls, slow response, dropped follow-up and no-shows, with a deploy playbook for six industries.

Read it
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Keep this run

Email me these exact numbers.

Every input and result you set above, sent to your inbox with a reference number, plus one confirmation text. No drip sequence: your run lands with a principal, not in a funnel.

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How this calculator works

What formula is running under the hood?
The core engine is a chained funnel. Monthly sends = subscribers x (sends/week x 4.33), opens = sends x open rate, clicks = opens x CTR, orders = clicks x click-to-order, revenue = orders x AOV. Revenue per send and revenue per subscriber are derived divisions. The frequency optimizer models engagement decay: each extra send/week trims the open rate by about 3% (multiplicative) and lifts unsubscribes by 0.20 percentage points, so marginal revenue follows an inverted U.
Why does revenue per subscriber matter more than open rate?
Open rate measures top-of-funnel attention. Revenue per subscriber measures whether that attention is worth paying for. A 45% open rate with $0.20 in monthly revenue per subscriber is a list that costs you ESP fees, deliverability risk, and creative production with little return. A 24% open rate with $3.40 in monthly revenue per subscriber is a printing press. Always optimize for the latter.
Where do the model defaults come from?
Defaults are Nirvani's planning estimates, not figures from a cited study. They are starting assumptions, not measured medians. Your numbers will vary by niche, list source, and segmentation maturity. If your actuals beat the defaults, your actuals are the truth. Defaults are only there to seed the sliders.
Apple Mail Privacy Protection inflated my opens. Does the model account for that?
The math uses whatever open rate you input. Apple's pre-fetch typically adds 8 to 12 points to reported opens for iOS subscribers (which can be 50%+ of consumer audiences). For a more conservative read, subtract 10 points from your raw open rate before plugging it in, or rely on click-through rate (which Apple's protection does not affect) as your engagement signal.
Is the 0.20% unsubscribe drag assumption realistic?
It is a modeling assumption for a typical list, not a measured median. The drag panel holds it fixed at 0.20% per send. A clean, re-engaged list usually loses fewer subscribers per send and a fatigued one more, so scale the drag numbers to your own unsubscribe rate. The compounding effect is what most operators understate.
What is in the detailed PDF report?
Five pages. (1) Your numbers with the full sensitivity table. (2) The model defaults for your industry side by side with your inputs. (3) Three specific cadence and segmentation levers most likely to lift your revenue per subscriber. (4) A list-hygiene audit checklist. (5) A 90-day implementation roadmap, week 1 through day 90. No marketing fluff. You will receive it after you submit (delivery time can vary).