Everstage Pioneer 30
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Selected for the Everstage Pioneer 30
Top innovators in AI × GTM

Featured on
Portfolio — AI-Driven GTM & RevOps Systems

Revenue Systems I’ve Built & Shipped

Real-world playbooks: data pipelines, AI experiments, and GTM infrastructure that turned chaos into predictable, scalable revenue.

Core Competencies

The tools, platforms, and systems I use to design AI-powered GTM engines, automate revenue workflows, and keep sales, marketing, and operations aligned.

Microsoft 365 & Power Platform

Productivity, collaboration, and reporting across the full Microsoft stack.

SharePoint, Outlook, Copilot 365, PowerPoint, Excel, Teams, Power BI

Prospecting & Data Enrichment

Building targeted lists, finding triggers, and qualifying accounts.

LinkedIn Sales Navigator, ZoomInfo, Apollo, Google News, RSS feeds

Outreach & Sequencing Platforms

Multi-touch campaigns across email, social, and sales workflows.

HubSpot Sales Hub, Insightly, Close, Salesloft

GTM Intelligence & Analytics

Turning calls, deals, and campaigns into clear, actionable insights.

Gong, Tableau, Seismic

Automation, AI & Integrations

Connecting systems, eliminating manual work, and layering AI on top.

Zapier, Azure OpenAI, ChatGPT, Perplexity, Grok Expert prompt engineer & GPT builder

Web, Proposals & Revenue Ops Ops

Building assets, workflows, and contracts that support the full GTM engine.

WordPress (plugin & app development), DocuSign, PandaDoc, Qwilr

See the Impact

Before you dive into the results, here’s the philosophy behind the systems I build — scalable, automated, and engineered to create predictable revenue.

Scroll for Results ↓

Results in Action

Proven systems, measurable outcomes. These are the kinds of results my RevOps, GTM, and automation work has produced across sales, marketing, and operations.

  • 35% Profit Margin Per Client
  • 80% Quote Response Turnaround Time
  • AI-Driven Outreach Systems with 45% Open Rates Across Industries
  • 1,000+ Keyword Ranking for Website by Q2
  • 15% Increase in Average Profit Margin Per Client
  • 30% Conversion Rates from Lead-to-Opportunity
  • Yielded $1.9 Million in Potential Settlements & $600K in Contingency Revenue
  • Cut Onboarding for Foundational Roles from 90 Days to 2 Weeks
  • Created Frameworks Used in PE-Backed Companies and Referenced by Board Members
  • Generated 60+ Net-New Companies That Were 100% Qualified Leads Added to CRM in 60 Days
  • Built Landing Pages + Sales Funnel Generating 10+ Leads Per Week
  • Drove $1.2 Million in Direct Revenue & Enabled $4.5 Million Through Team Oversight & Systems

Read case studies below

Case Studies

A closer look at the systems behind the results — from AI-driven outreach and CRM automation to revenue frameworks used by executives, private equity teams, and high-growth companies.

Browse Case Studies ↓

Internal Hazardous Waste Intelligence Platform

Replacing a costly third-party EPA data platform with an Azure OpenAI system that unifies hazardous waste intelligence for sales, operations, and executive teams.

New Vertical Discovery: Metal Recovery Opportunity

Identifying and qualifying a new high-value metal stream — unlocking an entirely new reclaim vertical for international operations.

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Case Study: Creating a New Vertical Through Strategic Metal Recovery

By Fred Shamon

Background

An international chemical manufacturer approached us with a metal-bearing catalyst byproduct we had never processed before. It required specialized handling, sat outside our normal scope, and most teams would have rejected it immediately.

Instead, I saw strategic potential.

What I Did

  • Recognized revenue and recovery potential in a stream we weren’t actively pursuing
  • Escalated the opportunity directly to an executive board member for evaluation
  • Confirmed the material was recurring and cross-facility (global)
  • Led early qualification: storage specs, volumes, logistics, expected yields
  • Coordinated confidentiality steps to unlock analytical data (CDA/SDS)
  • Positioned myself as point of contact for all next steps and coordination

Why It Matters

This was not an assigned opportunity — it was a completely new vertical I identified, qualified, and built internal momentum for. If recovery is feasible, it represents a scalable international stream with high strategic value.

Market Potential

Based on publicly available spot prices, the metal trades at ~$55,000 per metric tonne.

At only 1,000 tonnes (a modest estimate for multi-facility catalyst turnover), the material value may exceed $55 million.

Note: This figure is illustrative and based on public market pricing — not internal forecasts or proprietary client volumes.

Outcome

The opportunity moved from an unqualified inquiry to a formal technical and legal review — with direct involvement from leadership, operations, and compliance teams.

New verticals don’t appear by accident. They’re built when someone sees potential early and gets the right people aligned without waiting for permission.

GTM Framework: Inside Sales Playbook

Built an 8-stage outbound framework that gave inside sales reps a real playbook, cleaner data, and pipeline visibility leadership could actually trust.

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Case Study: Building the Inside Sales GTM Framework

By Fred Shamon

Background

When I stepped into the Inside Sales channel, there was no real GTM structure. Reps were doing their own thing. Data was all over the place. Nobody could say with confidence what was working, what wasn’t, or whether the leads in the CRM were even worth the time.

I wasn’t hired to “own” strategy on paper — but I knew that without a real framework, the channel would never scale. So I built one.

What I Did

  • Designed an 8-stage GTM Reach Framework that mapped the full outbound journey from research to closed-loop follow-up.
  • Aligned each stage to the existing tech stack: HubSpot, ZoomInfo, LinkedIn Sales Navigator, and email sequencing tools.
  • Defined clear rules for what qualifies as a good account and contact before anything hits the CRM.
  • Turned the framework into a simple playbook that new reps could follow within their first two weeks.
  • Created activity and pipeline views so leadership could finally see where conversations were breaking down, not just how many dials went out.
  • Used the data coming out of the framework to brief executives and board-level leaders on what was actually happening in the outbound engine.

The Framework (Visual)

GTM Framework

Why It Worked

The first four stages — Research, Validate, Strategize, Initiate — forced discipline before outreach. Reps weren’t just “smiling and dialing.” They were working a prioritized list of accounts that were:

  • In the right verticals
  • Aligned to what we actually sell
  • Backed by clean data and clear next steps

Impact

The framework became the backbone of Inside Sales:

  • Onboarding time dropped because new hires had a real map to follow.
  • Leaders could see not just how many touches went out, but how many progressed between stages.
  • Data quality improved because every record was created and updated inside a defined process, not as a one-off.
  • Outbound stopped being “random activity” and turned into a repeatable system that could be tuned and scaled.
You don’t fix outbound with more volume. You fix it with a clear framework, clean data, and a playbook that reps can actually run every day.

TIME Score: Productivity & Efficiency Framework

A weighted performance model I built to measure output, impact, and efficiency per hour — giving leaders a real KPI beyond raw activity.

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TIME Score: Time Impact Management Efficiency Framework

By Fred Shamon

Overview

The TIME Score is a performance KPI I designed to measure not just what reps do, but how much their work actually moves the business forward. It blends volume, impact, and efficiency into one score leadership can track daily.

1. Impact-Based Task Weights

Each activity receives a weighted value based on its business impact:

  • Cold Call = 1 point
  • Email = 0.5 points
  • Follow-Up Sequence = 2 points
  • Meeting Booked = 3 points
  • Lead Converted = 5 points

2. Weighted Output Calculation

Multiply each task by its impact score:

  • 15 Cold Calls = 15 × 1 = 15
  • 10 Emails = 10 × 0.5 = 5
  • 5 Follow-Ups = 5 × 2 = 10
  • 3 Meetings Booked = 3 × 3 = 9

Total Weighted Tasks = 39 points

3. TIME Score Formula

Divide weighted output by available work blocks (example: 8 blocks in an 8-hour day):

TIME Score = 39 ÷ 8 = 4.875

4. What TIME Measures

  • Time: How effectively hours are spent
  • Impact: Prioritization of revenue-driving work
  • Management: Focus and organization
  • Efficiency: Weighted output per hour

5. Performance Targets

  • Excellent: TIME Score > 6.0
  • Strong: 4.0 – 5.9
  • Needs Support: < 4.0

6. Optimization Over Time

Task weights can be adjusted as priorities evolve — ensuring the TIME Score remains aligned with growth goals, new KPIs, or shifting sales motions. It becomes a living metric that grows with the team.

“You don’t just measure activity. You measure how much each action pushes the business forward.”

Pipeline Stage Playbook (HubSpot)

A unified pipeline architecture I built in HubSpot to remove stage confusion, speed up deals, and give leadership cleaner, more reliable data.

Arizona Market Expansion – Farar & Lewis LLP

Launched and scaled a new Arizona PI market from scratch, generating $1.9M in settlements with a referral-driven GTM model.

Turning Static EPA Data into a Signal Engine

I turned an underused $50K EPA data tool into a GTM signal engine that surfaced qualified leads, routing insight, and revenue-ready opportunities.

Auto Transport Quote Calculator – From Test to Licensing

A quoting engine I built as a side project that was later licensed by a transport brokerage to scale quoting, speed-to-lead, and data integrity.

Let's Connect

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