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Our Methodology

The Triumph Growth Stack

A 3-step system targeting 1.25x to 3x revenue in 12 months for founders at $1M to $100M revenue startups. Without 2-3x'ing headcount.

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One stack. One accountable team.

Most growth-stage companies are not under-spending or under-staffed. They are under-integrated. A site that does not convert because nobody owns performance. Paid acquisition that gets blamed for bad analytics. An engineering team that cannot ship the next experiment in time to learn from it. AI tooling adopted in one department and ignored in five.

The Triumph Growth Stack collapses that into one engagement. Engineering, performance, growth marketing, analytics, and applied AI under a single founder-led practice with 28 years of operating instinct. The promise we run toward: 1.25x to 3x revenue inside 12 months. Without 2-3x'ing headcount.

The way we get there is the same every time: figure out the foundation-level constraint that is actually gating your trajectory, fix it, then compound on top of it.

Step 01

The diagnostic

Foundation Audit

A single integrated audit, not five disconnected ones. We look at every layer where revenue is created and lost, then rank what we find by revenue impact so you know what to fix first.

Technical foundation

Core Web Vitals, JavaScript bundle size, server response time, error budget, security posture, framework debt.

Paid acquisition

Channel mix, account structure, creative quality, audience hygiene, LTV-to-CAC trajectory, ROAS by channel.

Attribution & analytics

GA4 implementation, GTM hygiene, server-side tagging, multi-touch attribution, pixel-data quality.

Conversion engineering

Onboarding, checkout, pricing page, and funnel-stage CRO. A/B test history, behavior-analytics gaps, friction points where revenue leaks.

AI tooling readiness

Where AI is and is not yet applied across departments. Provider lock-in. Cost per agent workflow. AI policy.

Team & ownership model

Who owns what. Where handoffs drop. What internal capability already exists. Where we should embed vs replace.

What you walk away with

  • A ranked constraint list with revenue-impact estimate per item
  • A 90-day fix roadmap mapping each constraint to the layer it lives in
  • SOW options for the next step: run the fix with us, with someone else, or in-house
  • Whatever artifacts make sense for your team - dashboards, architecture diagrams, attribution model, agentic-workflow inventory

The audit stands alone. You are not signing up for the rest of the stack by running it.

Step 02

The rebuild

Foundation Fix

Rebuild the broken layer in parallel with shipping. No 3-month feature freeze. No internal team waiting on us. New systems run alongside ongoing operations until they are demonstrably better, then we cut over.

Custom development

Application engineering on Java, Groovy, Grails, Spring Boot, Node, Python, AWS. Production-grade systems built to scale, instrumented from day one.

Performance engineering

Core Web Vitals, asset pipeline, edge caching, database tuning, server response. Faster pages compound into higher conversion and lower acquisition cost.

Conversion engineering

Onboarding flow, checkout, pricing page, and funnel-stage CRO. Fix the steps where revenue currently leaks before adding more traffic to a leaking funnel.

Growth marketing

Paid social, paid search, account structure, creative testing, A/B discipline. Acquisition that pays back, not vanity-metric reporting that makes things look good.

Analytics & attribution

GA4, Google Tag Manager, server-side tagging, multi-touch attribution. Pristine data so the next decision is based on what actually happened.

AI-assisted workflow

Agentic engineering embedded in the rebuild loop from day one. Same senior judgment, multiplied output. The team keeps the playbook after we leave.

How this runs alongside your team

Embedded, not handed off - you see every commit and every campaign.

Knowledge transfer is the deliverable, not an afterthought.

Weekly checkpoints, monthly reviews, quarterly OKR alignment.

Your team owns the work after we leave - documentation, dashboards, and playbook are theirs.

The principle

Most "rebuilds" stall because they require a feature freeze nobody can afford. Ours do not. We build the new system in parallel, instrument both sides, and only switch over when the numbers are unambiguous. Operations keep running. Revenue keeps coming in.

Step 03

The compound

Compound Growth

Measured experimentation on a now rock-solid foundation. The leverage is no longer in fixing what was broken; it is in iterating on what works.

Measure

Multi-touch attribution feeding ROAS by channel. Cohort-based LTV. Session-level conversion paths. Statistical-significance gates on every experiment so we stop arguing about anecdotes.

Optimize

A/B test landing pages, ad creative, pricing pages, onboarding flows. Test the right things first. Kill what does not move the number. Compound what does.

Compound

AI-assisted iteration in both engineering and marketing means the next experiment ships in days, not weeks. Same team, more output. Same spend, more return.

The shape of compounding

Take a $10M ARR business. A 10% conversion lift, a 20% CAC reduction, and a 15% retention improvement do not add up to 45%. They multiply: 1.10 × 1.25 × 1.15 = 1.58x revenue. Same team, same spend, same traffic. That is $5.8M of net new ARR in year one. At $50M ARR the same percentage moves stack to $29M. Foundation Fix sets up the math. Compound Growth runs it.

The promise

1.25x to 3x revenue
in 12 months.

By removing the foundation-level constraint that is gating your current trajectory and integrating engineering, marketing, analytics, and AI into one accountable team.

Without 2-3x'ing headcount, paying percentage-of-ad-spend fees, or letting AI tooling drift widen.

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Self-qualification

This is the right fit if...

You are a B2B SaaS, D2C subscription, or e-commerce founder between $1M and $100M ARR.

You have product-market fit, or are working toward it and want help getting there.

You are willing to embed an external senior operator for 1 to 3 quarters.

You believe engineering, marketing, and analytics should not run as separate disciplines.

Not a fit if you want a percentage-of-ad-spend agency, equity-for-services arrangement, or work handed to a junior delivery team.

Frequently asked questions

A 3-step founder-led methodology for $1M-$100M startups. Step 01: a single integrated Foundation Audit covering engineering, growth marketing, analytics, data, and AI readiness. Step 02: Foundation Fix - rebuild whichever layer is gating your current trajectory, in parallel with ongoing operations. Step 03: Compound Growth - measured experimentation on the now-fixed foundation. Targets 1.25x to 3x revenue in 12 months without 2-3x'ing headcount.

Founder-led B2B SaaS, D2C subscription, and e-commerce companies typically between $1M and $100M in annual revenue. Most useful when you have a working business that has hit a foundation-level constraint - a slow site capping conversions, attribution that no longer adds up, an engineering org that cannot ship fast enough, or AI tooling drift that is starting to show in your numbers.

Foundation Audits typically run 4 to 6 weeks. Foundation Fix work is scoped by SOW, from focused 4 to 12 week projects to multi-quarter engagements depending on which layer needs rebuilding. Compound Growth is typically a multi-quarter engagement with monthly checkpoints. Many clients start with a single-step scope and expand once we have shared evidence.

Just the audit is a common starting point. We scope each step as its own Statement of Work. Some clients run only Step 01 to inform their internal team. Others go straight to Step 02 because they already know which layer is broken. The 1.25x to 3x revenue target assumes the integrated stack, but the architecture is designed so individual pieces stand alone.

Most clients move to a smaller compound retainer - a senior operator on call as their team runs the stack day-to-day. Documentation, dashboards, and the playbook are theirs to keep. The Growth Stack is designed for the team to own the work after we leave, not to create dependency on us.

Two things. One, 28 years of hands-on operator experience means we have shipped, scaled, and broken these systems ourselves. Two, the stack is integrated by design - engineering plus growth marketing plus analytics plus applied AI under one accountable engagement. Most agencies pick a side; the gap between sides is where most growth-stage businesses lose money.

See it in action

Growth Results →

Quantified case studies from companies that ran the stack: 1,170% subscription growth, $30M sales lift, 21.42x ROAS, and more.

Solutions →

The full service catalog. Engineering, performance, growth marketing, analytics, applied AI, and training are the universal layer. Data warehousing and BI are specialty additions when your data complexity calls for them.

Applied AI for Founders →

The AI layer of the stack. Become AI-native: agentic infrastructure across every department, not a Copilot subscription.

Why now

Broken attribution compounds bad decisions. Slow shipping compounds missed experiments. Department-level AI adoption compounds workflow debt. Every quarter you wait, the gap your competitors are using gets harder to close.

Ready to run the stack?

Tell us about the foundation-level constraint you would tackle first. We will tell you what an engagement to remove it looks like.

Book a Discovery Call