Email Revenue Engine

Email is the channel where small inputs compound into big revenue — or quietly leak it. Enter the shape of your program and the engine forecasts a month of email revenue, separates campaigns from automated flows, and tells you the one improvement worth making first.

Monthly email revenue is your deliverable list times click rate times conversion times average order value, multiplied by how often you send and lifted by automated flows. Two forces decide the trajectory: list growth and data decay pulling on size, and deliverability deciding how much of every send even reaches an inbox. The engine forecasts the month, splits campaign revenue from flow revenue, projects your list a year out, and names whether growing the list, fixing deliverability, or building flows pays most.

The calculator

Email Revenue Engine inputs and result

Total subscribers.
Net new subscribers per month.
Share of sends that reach the inbox.
Broadcast sends per month.
Revenue per order.
How built-out your automated flows are.
✓ Your biggest lever appears here
Forecast email revenue this month
$0
$0Revenue per subscriber
$0Campaign revenue
$0Flow revenue
Export

Walkthrough

How to use this calculator

  1. Enter list size and monthly growthTotal subscribers, plus the net rate you add each month after unsubscribes.
  2. Set deliverability honestlyThe share of sends that actually reach an inbox. Below the mid-80s, this is usually the first thing to fix — revenue you are already paying to send but not landing.
  3. Add campaign frequency and AOVHow many broadcasts you send per month and the average revenue per order.
  4. Estimate your flow coverageHow built-out your automated journeys are — welcome, browse, cart, post-purchase, win-back. Flows punch far above their volume.
  5. Read the split and the verdictSee campaigns versus flows, watch the list projection against decay, and let the engine name the highest-leverage move for your numbers.

From the desk

RGM Expert Says

Real Growth Matters — Email & lifecycle practiceHow we use this tool with clients

We pull up this engine whenever a client says ‘email is doing fine’ without a forecast behind it. The campaigns-versus-flows split is usually the wake-up call: automated flows reliably earn a disproportionate share of revenue from a tiny fraction of the sends, which means an under-built flow library is the quietest, most fixable leak in the program.

Deliverability is the input people skip and the one that silently caps everything. A list can be growing while revenue stalls because a larger share of sends never reaches an inbox. The engine makes that visible by routing every result through the deliverability rate, so a fix there lifts campaigns and flows at once — revenue you are already paying to send but not landing.

The biggest-lever verdict keeps the strategy honest. Early-stage programs are usually list-constrained, so growth wins; mature programs with a big list and thin automation almost always get more from building flows than from sending one more campaign. We use the engine to point effort at whichever of those your real numbers support, rather than the lever that feels busiest.

The math

How it works

Each month the model computes per-send revenue from the deliverable list, click rate, conversion and AOV, multiplies by send frequency, and adds flow revenue scaled by your flow coverage. It compounds the list by growth and erodes it by a decay rate to project twelve months, and tests each lever’s cumulative gain.

Per send = List × Deliverability × Click × Conversion × AOV
Monthly = Per send × Campaigns × (1 + Flow multiplier)
Flow multiplier = Flow coverage × 1.6
  • Deliverability — share of sends reaching an inbox.
  • Click & conversion — held at modeled benchmarks (2% click, 9% conversion) for comparability.
  • Campaigns — broadcast sends per month.
  • Flow coverage — how built-out automated journeys are; scales flow revenue.
  • Growth & decay — compound and erode the list across the projection.

Click and conversion are held at benchmark values (2% and 9%) and decay at 25%/yr so the levers stay comparable; your own rates will differ. These are RGM modeling assumptions, not measured for your account.

Why it matters

Flows and deliverability beat sending more

The instinct when email revenue plateaus is to send more campaigns. The engine usually argues otherwise. Automated flows — welcome, browse-abandon, cart, post-purchase, win-back — fire on intent, convert far above broadcast rates, and keep earning without anyone hitting send. A program with thin flow coverage is leaving the highest-margin email revenue uncollected, which is why building flows so often out-earns adding broadcasts.

Deliverability is the multiplier sitting underneath every other number. If only 84% of your sends reach the inbox, you are forfeiting roughly a sixth of all email revenue before a single subject line is judged. Because the engine applies deliverability to campaigns and flows alike, lifting it is one of the rare moves that raises the entire program at once — and it usually costs effort, not budget.

List growth matters, but only net of decay. A list that grows 3% a month while shedding stale and disengaged contacts can still expand — or quietly shrink if decay wins. The engine projects the list twelve months out so you can see which way it is actually heading, and treats fixing a shrinking list as the prerequisite before any other lever is worth pulling.

Benchmarks

Email benchmarks behind the model

These reference points explain why flows and deliverability dominate the verdict so often.

LeverReference rangeRead
DeliverabilityAim 95%+Below the mid-80s, fix this first
Flow share of revenue30-50%From a tiny fraction of total sends
Monthly list growth2-5% netMust out-run decay to expand
Annual list decay~25%Disengagement and bad addresses
RGM analysis from public email-marketing benchmarks. See RGM’s measurement library.

Voices worth trusting

What email operators say

The fastest revenue in email is almost never another campaign — it is the automated flow you have not built yet.
Lifecycle email principle
RGM paraphrase of consensus practice
Deliverability is the tax you pay on every send. Lower it and the whole program quietly underperforms.
Email deliverability maxim
RGM paraphrase

Go deeper

Books on lifecycle and email

Related on RGM

Keep learning

FAQ

Common questions

How is email revenue forecast?
Per-send revenue is the deliverable list times click rate, conversion and AOV. Multiply by how often you send and add automated flow revenue scaled by how built-out your flows are. The engine compounds list growth and decay to project a full month and year.
Are flows really worth more than campaigns?
Often, yes. Automated flows fire on intent and convert far above broadcast rates, earning a disproportionate share of revenue from a small fraction of sends. A program with thin flow coverage usually gains more from building flows than from adding campaigns.
How much does deliverability matter?
Enormously. At 84% deliverability you forfeit roughly a sixth of all email revenue before content even matters. Because it applies to every send, raising deliverability lifts campaigns and flows together — usually the highest-ROI fix in the program.
Why does my list shrink in the projection?
Because decay is beating growth. If stale and disengaged contacts fall off faster than you add new ones, the list contracts. The engine flags this so you fix list health before chasing other levers.
What flow coverage should I enter?
Estimate how complete your automated journeys are — welcome, browse, cart, post-purchase, win-back. A program with only a welcome flow is far below full coverage; one running all of those well is near the top.
Why are click and conversion fixed?
To keep the three levers comparable, the model holds click and conversion at benchmark values. Your real rates will differ, but fixing them isolates the effect of list, deliverability and flows.

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