Registered MSME (Udyam) — Government of India UDYAM-MH-34-0077848
Methodology

The business changes. The methodology does not.

GTMS Matrix applies a governed GTM methodology to translate commercial assumptions into operating conclusions. The same methodology runs every time — whether the target is $200K or $10M — so a plan built on it stays explainable quarter over quarter.

How it works, at a glance

We calculate backward from the target, not forward from a guess

Most planning tools start with activity and hope it adds up to the number. GTMS Matrix starts with the revenue target and works backward to the pipeline, deal volume, and account coverage required to reach it — using a fixed, disclosed methodology rather than a fresh guess each time.

GTMS-METHODOLOGY

Pipeline coverage

How much open opportunity is typically needed in motion to reliably reach a revenue target.

GTMS-METHODOLOGY

Conversion governance

A fixed set of stage-to-stage conversion assumptions carries the target down to required activity — the same assumptions every time, not re-estimated per plan.

GTMS DEFAULT

Account & capacity modeling

Translates required activity into how many accounts need to be engaged, and whether that fits current capacity.

GTMS-METHODOLOGY

Channel allocation

Outbound, inbound, and existing-account motion are each weighted by the governed methodology, not treated as one undifferentiated pool.

DERIVED

Scenario governance

Base, downside, and investment scenarios vary the underlying assumptions in a controlled way, so the effect of a harder or better market is isolated and visible.

ILLUSTRATIVE

Public demo

The homepage simulator is an illustrative demonstration inspired by the GTMS Matrix approach, not the production methodology itself. The production methodology is not publicly exposed.

The specific conversion rates, weightings, and formula sequence behind these conclusions are part of the governed product methodology. Full methodology detail is shared during a guided pilot, not published on the public site.
Why a governed methodology, not a prediction

A model that guesses can't be held accountable. A rule can.

A machine-learned forecast changes when the training data shifts, and it's genuinely difficult to say why. A governed methodology is a decision your organization made and can revisit deliberately — every plan built on it stays explainable, quarter over quarter.

See it against your own numbers

Bring your revenue target and delivery model — we'll walk it through the governed engine live, no slideware.

Book a Pilot