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PROBLEMS I SOLVE

Revenue problems rarely begin where they show up.

Missed forecasts, stalled pipeline, uneven territories, and retention risk are usually symptoms. I trace them back to the signal, decision, process, or system that is actually breaking.

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DOES THIS SOUND FAMILIAR?

The number is visible. The truth behind it isn’t.

These are not isolated reporting problems. They are signs that the revenue system is producing conflicting signals, or no usable signal at all.

01

The forecast changes depending on who presents it.

02

Pipeline coverage looks healthy, but bookings keep missing.

03

Sales stages measure confidence instead of buyer progress.

04

Territories and targets cannot be defended with data.

05

Renewal risk appears after the account is already in danger.

06

RevOps produces reports, but leadership still lacks a decision.

WHERE THE REVENUE SYSTEM BREAKS

I work backward from the executive decision.

The work starts with the question leadership needs answered, then follows the evidence through the model, process, data, and operating cadence.

01

The forecast cannot be trusted.

Leadership sees a number, but cannot inspect or defend how it was produced.

WHAT I ADDRESS

Forecast logic, pipeline inspection, stage evidence, qualification, and the management cadence surrounding the number.

SELECTED RESULT

90%

Forecast accuracy achieved

02

Pipeline exists, but it is not moving.

Coverage obscures aged, stalled, or low-evidence opportunities.

WHAT I ADDRESS

Deal aging, stage conversion, stalled opportunities, coverage quality, rep behavior, and recoverable revenue.

SELECTED RESULT

$4.33M

Stalled pipeline isolated

03

I can't identify repeatable sales plays.

There is no way to audit all of our calls and conversations to surface trends.

WHAT I ADDRESS

Trend analysis and pattern recognition to surface sales plays, product feedback, and the voice of the customer.

SELECTED RESULT

31,000+

Gong transcripts audited

04

The systems tell different stories.

Sales, Finance, Customer Success, and the CRM each define reality differently.

WHAT I ADDRESS

CRM architecture, lifecycle definitions, ownership, stage design, reporting logic, and the operating process around the system.

SELECTED RESULT

One truth

The systems tell different stories.

05

Customer risk appears too late.

Teams see churn as an event instead of a sequence of signals.

WHAT I ADDRESS

Renewal forecasting, churn indicators, account segmentation, customer health, and retention operating cadence.

SELECTED RESULT

NRR + GRR

Retention performance improved

06

The data contains insight nobody is using.

Signals exist across conversations and systems, but never become visible, actionable intelligence.

WHAT I ADDRESS

Conversation intelligence, Gong analysis, AI-assisted workflows, signal design, and GTM decision support.

SELECTED RESULT

$5.4M

Pipeline surfaced 

WHAT THE WORK PRODUCES

Not another recommendation deck. A working revenue system.

A forecast model leadership can inspect and defend

Stages tied to observable buyer evidence

An ICP and territory model connected to capacity

A prioritized view of stalled and recoverable revenue

The work starts with the question leadership needs answered, then follows the evidence through the model, process, data, and operating cadence.

CRM architecture with clear definitions and ownership

Renewal and churn signals that trigger action

Operating rhythms with decisions and consequences

AI workflows attached to a real revenue decision

SELECTED CLIENT EVIDENCE

Proof belongs beside the problem.

Each engagement is different. The standard is the same: isolate what is happening, make the decision visible, and install a way to act on it.

FORECAST RELIABILITY

CONVERSATION INTELLIGENCE

PIPELINE RECOVERY

Rebuilt the logic behind the number, not just the report.

Turned thousands of sales conversations into pipeline signal.

Separated active opportunity from pipeline that required intervention.

Aligned forecast definitions, inspection, and management cadence so leadership could see what changed and why.

Analyzed customer language and selling patterns at scale to identify neglected demand already present in the data.

Made aging and stalled revenue visible so leadership could prioritize recovery, remediation, or removal.

90%

forecast accuracy

$5.4M

pipeline surfaced

$4.33M

stalled pipeline isolated

HOW CLIENTS ENGAGE ME

Start with the problem. Scale the work to what it requires.

Some problems need a bounded diagnostic. Others require a system build or experienced operating ownership. The engagement follows the evidence.

01

02

03

Diagnose

Identify what is actually breaking, what the evidence supports, and what leadership should do next.

Build

Design and implement the model, process, CRM logic, reporting, and operating cadence required to fix it.

Operate

Provide experienced RevOps leadership to run the system, drive accountability, and continuously improve it.

START WITH A FREE INITIAL CONVERSATION

You do not need to know the solution yet.

Tell me what leadership is seeing, what the team believes, and where the numbers stop making sense. I’ll help determine where to start.

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