Goose pricing — priced like a system, not a seat tax. One place actually designed for sales to run their book and their org. Configure the modules you turn on, your team size in bands, and your term; the RevOps operator is included with every plan.

PRICING · PER TEAM, PER MODULE

Priced like a system, not a seat tax.

Goose is one place actually designed for sales to run their book and their org — so it isn't metered by login. You're buying a system plus an operator, scoped on three honest levers: the modules you turn on, the size of your team in bands, and the term you commit. The RevOps operator comes with every plan.

> three levers. one price. sell like never before.

HOW THE PRICE IS BUILT

Three levers. Nothing hidden.

Every Goose quote is the same simple math: a platform-plus-operator base, the modules you turn on, a band multiplier for team size, and a term multiplier. That's the whole model — you can rebuild it below.

Lever 1 · Modules

Turn on what you need

Modules are org-level fees — the capability runs for your whole team, not per head. Add or drop as your motion changes; bundles cost less than the sum of their parts.

Starter = ICP only · Know = 4 modules · Full OS = all 7

Lever 2 · Team bands

Sized in bands, never per head

A bigger org means more accounts, territories, and rhythm for the system and the operator to run — so price steps by band. Growth inside your band never moves the number.

XS ≤15 · S 16–40 · M 41–100 · L 101–200 · XL 200+

Lever 3 · Term

Commit longer, pay less

A managed system is a relationship. Month-to-month carries a premium, annual is the baseline, and multi-year terms earn a lower rate — the same system, cheaper with commitment.

Monthly +20% · Annual baseline · 2-yr −10% · 3-yr −15%

BUILD YOUR QUOTE

Set the levers. Watch the math.

Pick your modules, slide to your team size, choose a term. The panel shows exactly how the price is assembled — no call required to see the shape of it.

1 Turn on what you need
The Operator

The RevOps operator who runs every module you turn on. Part of the platform, every plan.

included
2 How big is the team?
50 reps M · 41–100
3 How long a term?
How the math works without the calculator: take the platform + operator base, add the org-level fee for each module you turn on (bundles are discounted below the sum), multiply by your team band (XS ×0.7 · S ×1.0 · M ×1.5 · L ×2.2 · XL ×3.0), then by your term (monthly ×1.2 · annual ×1.0 · 2-year ×0.9 · 3-year ×0.85). Example: the Full OS for a 50-rep team on an annual term lands around $15,000/mo at the illustrative placeholder rates shown here. Growth inside a band never moves the price.

STRAIGHT ANSWERS

The questions we actually get.

What's included in every plan?

The operator and onboarding. Every plan ships with the RevOps operator who runs your modules — calibration, data hygiene, territory upkeep, forecast reconciliation — plus the implementation to wire Goose into your existing stack. That's the base, not an add-on.

Can we start with one module?

Yes. Starter is ICP Scoring alone, and plenty of teams begin there. Every module runs on the same engine, so adding Forecasting or Territories later is a switch we flip — not a re-implementation, not a migration, not a new contract cycle.

What happens when we hire?

Nothing — until you cross a band. Bands are wide on purpose: go from 45 reps to 100 and your price is identical. When you do cross into the next band, the step is published above, so finance can model it before the offer letters go out.

What are the contract terms?

Monthly through 3-year. Month-to-month carries a +20% premium, annual is the baseline, and 2- and 3-year terms earn −10% and −15%. Longer commitment means a lower rate — that's the entire trade, with no other fine print on the lever.

One system. One operator. One honest price.

Bring us your team size and the modules you want on. We'll turn this configurator into a real quote — and show you Goose running your motion in a 30-minute walkthrough.

Get a demo Explore the modules

// honest note: rates on this page are illustrative placeholders — the model is real, the numbers get set in scoping.