Growth engine calculator

Your growth target is a lag measure.
The activity underneath it is what you control.

Put your own numbers in. This works forwards from what your outbound produces today, backwards from the growth you have to deliver, and shows you the distance between the two — then what closes it.

Nothing is sent anywhere until you choose to send it. Takes about three minutes.

Your numbers

01 Where you’re aiming

Growth needed this year

Revenue you need above last year’s result, across new business, upsell and cross-sell. Annual.

Of that, how much arrives without outbound

Renewals, organic inbound, referrals, partner and existing-relationship growth. Everything that would happen anyway. Annual.

Average deal value

Total contract value of a typical win. Larger deals mean fewer opportunities but usually a longer cycle.

Pipeline coverage you want to hold Qualified pipeline as a multiple of the revenue it has to produce. The lower your win rate, the more you need.

Win rate on qualified opportunities

Used to sanity-check whether the coverage ratio above is actually enough.

Average sales cycle

months

First conversation to signature. This decides when work started today can actually book.

02 What outbound does today

People doing outbound prospecting

people

Dedicated SDRs, or full-cycle sellers. If sellers run the whole cycle, count the fraction of their week that is genuinely prospecting — often nearer a fifth of a person than a whole one.

Contacts each can work per day

each

Researched, personalised and followed up properly — not names loaded into a sequence.

Selling days per month

days

After meetings, admin, leave and everything else that isn’t prospecting.

Contact data that is accurate and current

Wrong numbers, dead addresses and people who left are capacity spent for nothing.

Contacts reached who engage

A real reply or conversation, not an open or a click. Relevance moves this far more than volume does.

Engaged contacts who take a meeting

Interest converting into a discovery conversation actually held.

Meetings that become real opportunities

The rest qualify out. Every meeting that dies here was paid for in full and returned nothing, which is why this is usually cheaper to fix than buying more volume.

03 What an optimised engine changes

Enter the rate you think you could reach, not the size of the improvement. Each figure shows where you are today underneath it. These are starting estimates, not promises — change them to whatever is realistic for your market.

Engagement rate you could reach

Tighter ICP, segment-specific angles, and personalisation that reads as researched rather than generated.

Data accuracy you could reach

Fully researched, verified contacts instead of a stale list.

Meeting-to-opportunity rate you could reach

The seller knows what triggered the lead, what to ask, and where this has worked before.

Outreach run as personalised sequences

Email and LinkedIn sequences carry the first touches; a person steps in only once someone replies. This is a choice, not a requirement — set it to 0% to model outreach done entirely by hand.

Replies one person can handle per month

each

This is what sets the ceiling once sequences carry the volume. Your people stop being limited by how many they can contact, and start being limited by how many reply.

Cycle compression from signal-led targeting

Buyers found on a trigger are already part-way through their own process, so you join it late rather than starting it.

01 What outbound actually has to deliver

Your growth target, less everything that arrives without outbound, is the number outbound is responsible for. Held at your coverage ratio, that sets the pipeline it has to originate.

Outbound must deliver

$3.2m

per year · $800k per quarter

Pipeline required

$11.2m

at 3.5:1 coverage

Opportunities required

per year, at your average deal value

02 What today’s outbound produces

This runs forwards from the people you have and what they can realistically work, through your own conversion rates, to the pipeline that comes out the other end.

Required

03 What closes the gap

No single change gets there. Each layer below builds on the one above it, and the volume gain at the bottom only pays off because the layers above it came first — sequencing a poorly targeted list at bad data quality just produces more of nothing.

04 What this means

Where the starting numbers come from

Input	Default	Typical range	How solid
Pipeline coverage ratio	3.5:1	3:1 – 4:1	Well established
Win rate, qualified opportunities	25%	15% – 35%	Well established
Average sales cycle, complex B2B	9 months	6 – 12 months	Well established
Contact data accuracy	70%	55% – 85%	Varies widely
Engagement rate, targeted outbound	2%	1% – 5%	Contested
Engaged to meeting held	50%	40% – 60%	Soft
Meeting to qualified opportunity	40%	30% – 50%	Soft
Contacts one person can work daily	30	20 – 50	Soft
Replies one person can handle monthly	50	40 – 100	Soft

These are planning assumptions, not benchmarks. Engagement and conversion rates in particular vary enormously by market, offer and channel, and most published averages come from vendors selling the thing being measured. Treat them as a starting position. Replacing them with your own actual conversion data is the first thing worth doing, because a model built on your numbers is the one your board will accept.

Where to next

Not sure which layer to start with?

Send your details and we’ll walk through your real figures together, replace the assumptions with your own conversion data, and tell you which change is worth making first. You’ll hear from a person, not a sequence.