Automation and Advisory

Revenue and Growth Engineering.

A pipeline and pricing picture that ties to the P&L. F3 Insights sets up sales, marketing, and customer success as one measured system rather than three departments: a forecast built on evidence, pricing rules that hold at the contract line, and a pipeline that reconciles to the books.

$10M–$70M revenuePipeline tied to the P&LBuilt in the CRM you own
The problems

Where Revenue Stops Being Predictable

Sales cannot defend the forecast, marketing cannot prove what it contributed, and each is measured on numbers the other does not recognize.

01

The forecast is a negotiation, not a model

Commit numbers come out of discussion and sandbagging rather than evidence that a deal has actually moved forward. The board hears a number whose error nobody can characterize, so a miss looks like normal variance until it has already happened.

02

Pricing is decided one deal at a time

Discount authority is informal and exceptions go unlogged, so margin leaks at the contract line. The price the company actually realized turns up in the month-end close instead of being managed at the point of sale.

03

Marketing cannot show what it contributed

Last-click reporting broke, and the dashboard still reports it confidently. Marketing reports leads, the CFO asks about margin, and the budget conversation runs on trust rather than evidence.

04

The marketing pipeline breaks at the handoff

Marketing and sales count different things as a qualified lead, so leads stall or vanish between the two teams. Campaign source gets lost on the way into the CRM, and by the time a deal closes nobody can say which program created it or what it cost to win.

What we build

One Revenue System, Tied to the Books

Each piece removes a place where the number can be argued with rather than checked.

01

A forecast you can check

Every pipeline stage gets a written definition of what must be true for a deal to leave it, which operators call stage-exit criteria. That turns the forecast from an opinion into a calculation, and it makes coverage ratios mean something.

02

A clear picture of the customers worth chasing

Who the company can win, keep, and expand, written as a score a rep can act on rather than a persona slide. This is the ideal customer profile, or ICP, and territories and coverage follow from it instead of from history.

03

Pricing rules that hold

Discount authority, approval thresholds, and an exception log designed as controls rather than conventions, so the realized price is managed when the deal is signed.

04

A pipeline that ties to the books

The bridge from CRM pipeline to booked revenue to the P&L, with marketing spend reconciled in the same terms, so attribution is something finance accepts. It ends the argument about whose number is right, and it is usually the first thing a diligence process asks for.

None of this requires replacing the CRM you already own. Most revenue problems at this size are design problems rather than software problems, and a migration usually postpones the design work by a quarter. The mechanism, in the detail a revenue operations lead will want, is on the GTM engineering page.

Questions

Revenue and Growth Engineering, Answered

Why does our forecast keep missing?

Usually because it is a negotiation rather than a model. When nobody has written down what must be true for a deal to move from one pipeline stage to the next, a commit number reflects how confident people feel. Written stage rules and a measured forecast error let a real miss stand out from normal variance.

How do you reconcile pipeline to the P&L?

By building the bridge from CRM pipeline to bookings to recognized revenue, with definitions agreed before measurement. Each step is tied to the general ledger so finance and revenue read one number. It is the piece of work that ends the argument about whose figure is right.

Do you replace our CRM?

No. The work makes the CRM you already own carry honest data: written rules for each pipeline stage, structured reasons for lost deals, and a reconciliation to finance. Most revenue problems at this company size are design problems rather than software problems, and a migration usually postpones the design work.

How is this different from a RevOps agency?

A RevOps agency usually administers the tools you own: workflows, fields, reports, and integrations. F3 Insights designs the system those tools express, starting with which customers to pursue, how each pipeline stage is defined, and how the numbers tie to finance. The work ends with your team running it, not with a retainer.

How do you connect marketing's pipeline to sales?

By agreeing one definition of a qualified lead, one handoff rule, and one record that carries a deal's source from first touch to closed revenue. Marketing and sales then report from the same pipeline instead of two. Leads stop disappearing at the handoff, and campaign source survives into the CRM where finance can see it.

Which marketing attribution model should we use?

Whichever one your CFO will accept, agreed before anyone measures. For most companies this size that is a simple, documented model, often first and last touch side by side, reconciled to CRM pipeline and booked revenue. A sophisticated model nobody can explain loses the budget argument. A plain one that ties to the books wins it.

Next step

Start with the number nobody defends.

A pipeline-to-P&L reconciliation runs two to six weeks and ends with a systems map, a problem ledger with costs attached, and a sequenced build plan. You keep the plan whether or not we build it together.