Commercial Engine Builder

Build the commercial engine
that scales beyond the founder.

Gain Advisory works with founder- and CEO-led financial software, data, and fintech companies that have customer traction but still rely on executive relationships, intuition, and leader-led selling to grow.

I help uncover why your customers buy, refine positioning, align pricing and packaging, and build the go-to-market systems that make revenue repeatable.

Start the conversation How I work
Founder-led growth eventually stops scaling.

The founder closes the early deals. Customers buy. Revenue grows. Then the company reaches the point where the motion should become repeatable — and too much of the knowledge still lives in senior executives' heads.

The founder or CEO is still involved in too many deals — growth depends on executive access, executive credibility, and one or two people's intuition.
Customers are buying, but the team cannot clearly explain why — the strongest win themes have not been translated into positioning.
Pipeline exists, but conversion is inconsistent — every deal is being run differently.
Pricing and packaging evolved organically — the way the product is sold no longer matches how buyers perceive value.
The first commercial hires are arriving — but they are being asked to scale a motion that is not fully defined.
Product is advancing faster than commercialization — new capabilities are shipping before the market story is clear.

You do not need another sales deck. You need the commercial truth underneath the deals you are already winning.

Who I Serve

Built for founder- and CEO-led financial software, data, and fintech companies.

I do my best work when a company has a product, customers, and revenue — but the commercial engine has not yet been fully established.

Companies in financial software, fintech, financial data, treasury, CFO-tech, capital markets, investor relations, or financial infrastructure
Seed to Series B, or new ventures and regions inside larger companies
Real customer traction and evidence of product-market fit
Founder or CEO still central to selling, positioning, and customer conversations
First commercial hires arriving, but the repeatable motion is not fully built
Why It Works

I have built this motion before.

Across Nasdaq, Q4, Discovery Data, and LTSE/EQ, the pattern has been consistent: take a product with customer traction, translate it into commercial value, and build the systems and teams that make growth repeatable.

The Pattern

Different companies. Different categories. Same problem: a product with traction, a founder or CEO still carrying the commercial load, and a system that has not yet been built. I take executive intuition and customer evidence and turn them into the ICP, positioning, packaging, sales motion, and operating rhythm that scales without depending on a single person.

The Difference

I'm still operating. Still in customer conversations. Still building. When I work with you, you are not getting someone who used to do this — you are getting an operator who has built commercial engines in financial software, fintech, data, capital markets, IR, and macro data, and who is doing the work today.

$10M → $150M
Nasdaq Corp Solutions
<$1M → $40M
Q4
$6M → $60M
Discovery Data
10× growth
LTSE / EQ
+45% revenue
Macrobond Americas
AI product GTM
AI Data Feed · MCP · Skills
How I Work

Customer truth, then architecture,
then a system the team can run.

Every engagement starts with the market, not the org chart. You decide what comes next.

Step 1
Customer Truth
Understand why customers actually buy

Start with the market, not the org chart. I review customers, lost deals, demos, pipeline, positioning, pricing, onboarding, and sales conversations to identify what is actually working.

Customer interviews & win/loss Demo & sales-call review Positioning & pricing audit Pipeline pattern analysis
Step 2
Commercial Architecture
Turn what works into a repeatable system

Define ICP, positioning, packaging, qualification, sales process, and operating rhythm around real customer behavior — not assumptions.

ICP definition & segmentation Positioning & packaging Sales process & qualification Operating rhythm & forecasting
Step 3
Build & Transfer
Make the motion runnable without depending on the executive team

Work alongside founders, sales, marketing, product, and CS to install the system, support the first hires, and make the motion repeatable.

Founder-led to first commercial leader Onboarding the commercial team Motion installation & rituals Documentation the next leader inherits
Built by Jason

GTMology: the private intelligence lab
behind Gain Advisory.

I built GTMology because the tools available in the market were not giving me the intelligence I needed to make better commercial decisions.

It started as a private research lab — a way to collect signals, normalize company context, analyze founder and executive commentary, and turn scattered information into better GTM judgment.

AI helps accelerate the research. GTMology helps organize the evidence. But the value comes from applying operator judgment to what the intelligence reveals.

"GTMology is not a replacement for advisory work. It is the research layer that helps me see patterns faster, ask better questions, and build more evidence-led commercial plans."

Built independently using modern AI-assisted development workflows, GTMology is also a proof point for how I think: identify a commercial problem, build the system needed to solve it, test it, refine it, and use it to make better decisions.

GTMology is used in two ways: to understand the companies I may advise, and to understand the customers, markets, and accounts those companies are trying to win. The same intelligence layer supports both.

Hiring, ATS & Operating Signals
What a company is hiring — and what it is no longer hiring — is operational context. Job descriptions, ATS metadata, and team-shape changes reveal how the commercial system is actually forming.
Executive Commentary & Public Voice
Podcast transcripts, conference appearances, founder and CEO interviews — surfaced and read for what leaders are actually thinking about.
Corporate Events & Filings
News monitoring, product launches, funding events, leadership changes, and SEC filings — time-stamped and placed in context.
Market Synthesis & GTM Transitions
Market themes, competitive developments, and GTM-transition patterns synthesized across an entire account universe — interpretation, not just collection.
The Intelligence Story

Configured once through Seller IQ. Operationalized inside GTMology. Translated into advisory-ready intelligence.

Step 1 · Configure
Seller IQ: the nucleus of the platform
Seller IQ one-pager — defines business context, target buyers, value proposition, proof points, disqualifiers, and outreach voice that every downstream GTMology recommendation inherits.

Seller IQ defines the business context, target buyers, value proposition, proof points, disqualifiers, and outreach voice that every downstream recommendation inherits.

Step 2 · Operationalize
GTMology workspace
GTMology workspace — intelligence interface where account signals, governance, contacts, buying triggers, and GTM recommendations come together.

The intelligence workspace where account signals, governance, contacts, buying triggers, and GTM recommendations come together.

Step 3 · Translate
Advisory-ready intelligence

These examples represent a few of the analytical lenses GTMology can apply. The objective is not more signals — it is better interpretation.

From job descriptions to operating-system intelligence — GTMology synthesizes job postings to expose executive priorities, GTM systems, data governance, automation, and the operating problems a company is trying to solve.
Operating-System Intelligence
From job descriptions to operating-system intelligence

Job postings reveal more than hiring activity. They expose executive priorities, GTM systems, data governance, automation, and the operating problems a company is trying to solve.

The five GTM transitions — GTMology groups signals into commercial transitions: founder-led to scaled GTM, PLG to sales-assisted, AI transformation, operational maturity, and product or market expansion.
Five GTM Transitions
The five GTM transitions

GTMology groups signals into commercial transitions — founder-led to scaled GTM, PLG to sales-assisted, AI transformation, operational maturity, and product or market expansion.

Market-level synthesis — GTMology identifies patterns that emerge across an entire account universe, showing what a market is collectively telling us.
Market Themes
Market-level synthesis

GTMology identifies the patterns that emerge across an entire account universe, showing what a market is collectively telling us.

Portfolio of Work

Gain Advisory is also a portfolio of how I work: commercial systems I have built, products I have helped commercialize, and the operating patterns I have used to turn customer traction into repeatable revenue. GTMology is part of that portfolio — built independently to solve a commercial problem I kept running into.

The Next Step

Start with a conversation.

If you have customer traction but growth still depends too much on founder or CEO intuition, unclear positioning, or an undefined commercial motion, let's talk.

Start the conversation
Let's Talk

Ready to build the commercial engine?

If you have customer traction but growth still depends too much on founder or CEO intuition, unclear positioning, or an undefined commercial motion, let's talk. I'll tell you honestly whether I can help — and what that would look like.
✦

Got it.
I'll be back to you within one business day.