GROWTH OPERATING SYSTEM · B2B SAAS · $1M–$50M ARR

Growth is a system, not a department.

Most SaaS companies try to grow by adding headcount. ProductQuant is the alternative: one team that finds your biggest growth opportunities, tests them, and makes them real — inside your product, running in weeks.

For B2B SaaS · $1M–$50M ARR

Talk to Jake See how it works

30 minutes. You’ll leave knowing where your biggest growth opportunities are.

DISCOVER → INTEL → SIGNAL → BUILD → IGNITE → RETAIN → CONVERT

DISCOVERFull audit across all 6 growth layers. Every weakness sized by revenue.
INTEL15+ competitors monitored. Weekly pricing and messaging alerts.
SIGNALSales calls, tickets, churn exits, NPS — turned into structured product decisions.
BUILDActivation flows, onboarding redesigns, production code shipped.
IGNITEStatistically rigorous experiments. 10–20/year. Every result feeds the next.
RETAINChurn predicted 30–60 days early. Expansion triggers running.
CONVERTSales messaging built from real call data. Battle cards that win.

6 weeks to full operating capacity

THE PATTERN

You’ve invested in analytics. Maybe hired a growth person. Run some customer research. Tried a few experiments.

Each one was useful on its own.

But the research didn’t feed the experiments. The experiments didn’t change the product. The competitive analysis lives in a Google Doc nobody opens. And every quarter, your team sits down and starts from scratch — debating the same questions, re-learning things you already paid to learn.

This is the pattern at $5M. At $15M. At $40M. The pieces are there. The system isn’t.

WHAT ACTUALLY CHANGES

Six things that look different when the system is running.

You know your market — who to go after, how big the opportunity is, and what to build next.
Your ideal customer built from real market data, not from a brainstorm. Total market opportunity sized so you know what you’re playing for. New segments uncovered that nobody on your team was looking at. Product direction grounded in where your best customers actually are, what they’re willing to pay, and what they need that nobody else is building. You stop guessing which market to chase.
You understand your customers deeply enough to build what they’ll pay for.
What are customers hiring your product to do? Which features are must-haves, which are nice-to-haves, and which ones nobody cares about? Why do they buy from you — and why do they leave? We analyse sales calls, support tickets, interviews, and behavioural data. Your roadmap gets built on what customers actually need, not what someone assumed in a planning meeting.
You understand your growth levers and leaks — and can see them moving.
Your analytics get rebuilt around how users experience value — not just which buttons they click. Dashboards built for decision-makers that show where growth is working and where it’s leaking. Your team sees which features drive retention, where users drop off, which segments are expanding — and makes decisions in hours instead of debating them for quarters.
You know how to position, price, and win against every competitor.
Every relevant competitor analysed in depth — features, pricing, messaging, and claims checked against reality. You’ll know which of their claims are exaggerated, where your unique advantages are, and exactly how to position against each one. Pricing strategy grounded in competitive data and what customers are willing to pay. Battle cards your sales team uses on real calls.
More users reach value — because the experience is built for them.
Activation funnels mapped by segment. Time-to-value measured. Onboarding redesigned around what each type of customer is trying to accomplish — not a generic product tour. You’ll know where users drop off, why, and what the fix is worth in revenue you’re currently losing. Your highest-value segment gets the activation path that actually converts them.
Everything runs. Nothing sits on a shelf.
Working dashboards your team opens every morning. Experiments running and being iterated on. Analytics infrastructure your team self-serves without filing engineering tickets. Onboarding flows live and converting. Everything documented, everything yours to keep. Not a strategy deck your team never gets around to implementing.

HOW IT COMPOUNDS

Most consulting work ends with a report. Here’s what happens when everything connects.

Month 1
Customer research finds that your fastest-growing segment churns 40% less than average. But your onboarding treats everyone the same.
Month 2
New onboarding goes live for that segment. Activation climbs. The data shows they’d pay more for a plan built around their use case.
Month 3
Pricing test confirms it. Revenue impact you can put in front of your board.

Each insight produced an action. Each action produced the next insight. Nothing started from scratch. That’s what we mean by system.

SIX MONTHS FROM NOW

Your product team stops having the same debate about which features to build — because you have behavioural data on what each segment actually needs to activate and expand. You know which of your users is 3–10× more valuable, so acquisition spend, pricing, and product investment stop being distributed evenly across customers who perform wildly differently.

Your experiments aren’t one-off guesses — they’re a system that compounds, month 3 sharper than month 1, month 6 sharper than month 3. When the board asks why growth accelerated, you don’t have a theory. You have the data.

None of it required a new hire. The system was already running.

THE HONEST COMPARISON

Why not just hire?

Sometimes a VP hire is right. Sometimes an agency makes sense for a specific channel. The question is whether you have the system that makes any of those investments compound.

ProductQuant VP of Growth hire Growth agency Fractional leader
Time to impact Weeks 3–6 months to hire, then ramp Weeks — one channel only 2–4 weeks, limited hours
What they cover Customer intelligence, analytics, activation, experiments, product improvements, revenue ops Depends on the hire One channel Strategy only
Changes live in your product? Yes Only if technical No No
Work builds on itself? Each month feeds the next Only if they stay Resets when contract ends Resets when hours run out
What you keep Everything — dashboards, research, product improvements, docs Whatever they documented Campaign assets Recommendations
Engagement cost Foundation $15K–$25K · LAB $21K–$42K / 3mo · OS $108K–$300K / 6mo $200K–$350K/yr + equity $120K–$360K/yr $60K–$180K/yr

If not, that’s where we start.

The cost of 6 more months without the system running:
If your activation rate is 20% and the benchmark for your product type is 35%, you’re converting 15% fewer signups to revenue — every month. At 500 signups/month that’s 75 users who paid for acquisition and never became customers. At $1,200 average first-year ACV, that’s $90K/month in activation gap, compounding in the wrong direction. Then add experiment velocity: a team running 2 tests per quarter versus 20 is making 18 product and pricing decisions per year on opinion instead of evidence.
Every month of delay has a price. It just doesn’t arrive as a single invoice.

WHAT THE WORK LOOKS LIKE

Two engagements. Specific results.

Healthcare SaaS · $28M ARR

Events firing — 0% of the data actually usable. No churn prediction. CS team finding out when customers cancelled, not before. No visibility into which segments were worth saving.

After the engagement
Annual revenue impact$272K–$505K
Analytics cost reduction90%
Churn predicted30–60 days early
“Jake found $272K in revenue impact we’d written off as product problems. Within 6 weeks we had a churn model running, a competitive intelligence feed in Slack, and experiment results we could actually act on.”

— CPO, Series B Healthcare SaaS [placeholder — replace with real quote + permission]

E-Commerce SaaS · $22M ARR

40+ critical events completely missing. Highest-value feature had 13% discovery and zero tracking. Running 1–2 experiments per quarter with no statistical confidence. No segment intelligence.

After the engagement
Activation rate20% → 35%
Annual revenue opportunity$2.5M+
Key feature discovery13% → 40%+
“We’d hired a growth PM and two analysts and were still running 1–2 experiments per quarter. Jake installed the experiment engine in the first engagement and we hit 8 tests by month 3. The difference wasn’t effort — it was having the system.”

— COO, Series B E-Commerce SaaS [placeholder — replace with real quote + permission]

WHO THIS IS FOR

Two types of company. Find yours.

$1M–$50M ARR

Growing well. Want to compound.

Revenue is moving. Product-market fit is real. But growth is ad hoc — experiments happen when someone remembers, pricing hasn’t been tested since launch, competitive intel is whatever someone Googled last quarter. You want the system underneath.

Start here: The Foundation ($15K–$25K) → Growth LAB ($21K–$42K · 3-month engagement)

$1M–$50M ARR

Growing, but it’s messy.

Churn keeps surprising you. Analytics exist but nobody trusts them. Experiments don’t happen because the data isn’t clean enough to test against. You need the infrastructure before the system can run.

Start here: The Foundation ($15K–$25K) → Growth OS ($108K–$300K · 6-month engagement)

Not a fit: Pre-product-market-fit, under $1M ARR, or looking for a single campaign rather than an ongoing system.

ProductQuant runs 2–3 active engagements at a time. Fit matters more than throughput.

THREE WAYS TO WORK TOGETHER

Start where it makes sense.

$15,000–$25,000 One-time · 4–6 weeks
The Foundation

In 6 weeks, you’ll know every growth opportunity in your product — sized by revenue impact, ranked by priority. Analytics working, dashboards live, customer intelligence clear, and a roadmap your team can act on immediately. You keep everything. Dashboards, research, documentation. All working, all yours.

Learn more →
$21,000–$42,000 3-month engagement · (≈$7K–$14K/month)
Growth LAB

Each month, you’ll know what’s working, what isn’t, and what to test next — based on last month’s results, not a new round of guessing. Competitive intelligence stays current. Your team builds the muscle to run this independently.

Learn more →
$108,000–$300,000 6-month engagement · (≈$18K–$50K/month)
Growth OS

A complete growth team embedded in your company — finding your opportunities, testing them, and improving your product directly. Running inside your product from week 2. Sixty minutes a week from your CPO. That’s the only thing we need from you. At month 6, your team inherits everything. Every dashboard, every workflow, every improvement. Documented and operational.

Learn more →
What’s running every month — and what each layer costs standalone:
LayerWhat it doesStandalone value/mo
DISCOVERFull growth audit across all 6 layers. Every weakness sized by revenue at stake.$2,500
INTEL15+ competitors monitored. Pricing, feature, and messaging moves tracked weekly.$8,000
SIGNALSales call analysis, churn interviews, JTBD mapping, win/loss data at scale.$7,500
AnalyticsClean event taxonomy, ML models, dashboards you can trust.$5,000
BUILDActivation flows, onboarding redesigns, production code shipped.$9,600
IGNITEStatistically rigorous A/B testing. 10–20 experiments/year.$6,000
RETAIN + CONVERTChurn prediction, expansion triggers, pricing by segment, sales messaging.$10,000
Total itemised value$70,850/mo

Growth OS engagement: $108,000–$300,000 total · 6-month fixed term

See full pricing

If you need a targeted diagnostic first — ask on the call.

At the end of every engagement, everything we build is yours — analytics infrastructure, dashboards, experiment library, documentation, team trained to run them. The system doesn’t leave with us. If you start with The Foundation and decide not to continue, you keep everything we installed.

START SMALLER

Not sure where your biggest growth leak is?

The DNA Analyzer is the fastest way to find out — before committing to a full engagement.

The diagnostic
$297 DNA Analyzer

Answer 25 questions about your product, your data, and your growth motion. In 48 hours you get a scored breakdown of every growth layer — where you’re strong, where you’re leaking revenue, and what to fix first. Self-serve. Yours whether we ever talk or not.

Get the DNA Analyzer →

This is the diagnostic. Everything below solves a specific problem once you know which one it is.

Analytics Audit$3,497
Which data you can trust, what’s missing, and what to fix first.
“We have dashboards nobody trusts.”
Activation Deep Dive$4,997
Where signups stop becoming customers — and what to do about it.
“Free-to-paid is our biggest leak.”
Churn Prediction$4,997
Your CS team intervenes before customers cancel, not after.
“We find out when they cancel.”
Pricing Audit$2,997
What customers will actually pay and how to structure tiers.
“We haven’t tested pricing since launch.”
Experiment Velocity$3,497
Why your tests come back inconclusive and what to run instead.
“We run tests but nothing is definitive.”
Onboarding Review$4,997
How in-app, email, docs, and CS work together — or don’t.
“Onboarding is a patchwork.”
Stripe & Revenue Segmentation$2,997
Which customers matter most, who’s expanding, and where revenue concentrates.
“We don’t know which customers matter most.”
PostHog Setup$2,497
Clean analytics your team can self-serve from day one.
“Our tracking is a mess.”

WHO’S DOING THE WORK

[Photo placeholder — Jake McMahon, founder. Direct, non-corporate shot.]

Jake McMahon · Founder, ProductQuant

Jake McMahon

8+ years building growth systems inside B2B SaaS · Master’s in Behavioural Psychology and Big Data

Eight years as a product leader inside B2B SaaS — product manager, growth lead, head of product, from seed-stage to $80M ARR. He kept watching smart teams make the same mistake: good tools, real talent, no system connecting any of it.

Each quarter started from scratch — same debates, same guesses, same wasted research. Growth was whoever shouted loudest in planning, not what the data showed. The problem wasn’t the people. It was that nobody had built the system that connects the pieces.

ProductQuant is what he’d hire if he were still an operator — rebuilt as a service. Every engagement adds to the toolkit. Every client’s data informs the next model. The system gets sharper with each one.

What he won’t do:
  • Promise revenue numbers he can’t verify
  • Hand you a strategy deck and disappear
  • Recommend work you don’t need
  • Build something that only works if you keep paying him
The most common question at $15M–$30M ARR: “Could our growth PM build this if we gave them 6 months?”
Probably one layer of it. The Growth OS runs six simultaneously — competitive intelligence, customer research, analytics infrastructure, activation, experiments, and revenue operations. These are six different specialisations. A growth PM who can design statistically rigorous A/B tests is rarely the same person who can build a churn prediction model, analyse 60 sales calls for JTBD signals, and instrument a clean event taxonomy. Beyond specialisation, the tooling comes from multiple client engagements — not built from scratch. The question isn’t capability. It’s whether you want them spending 18 months building the system, or using it from week 2.

WHAT WE GUARANTEE

Everything we build is yours. Dashboards, research, product improvements, documentation. No lock-in. No proprietary tools you’d need us to maintain.
Based on your data. Your customers. Your market. Not industry benchmarks, not a playbook pulled off a shelf.
We ship working systems. Not slide decks.
The scope is the scope. No surprise invoices. No “that’s Phase 2.”

WHAT HAPPENS AFTER YOU BOOK

Four steps from first call to full capacity.

01
30-minute call.
We find out where you are — ARR, team, which growth problems are costing you the most. No pitch, no deck. By the end we’ll tell you which tier makes sense and why, or whether it’s not the right fit.
02
Proposal — 2 pages.
What we’ll build, what you’ll own at the end, timeline, price. If it’s not the right fit, we’ll say so before you sign anything.
03
DISCOVER — weeks 1–6.
Full growth audit. Analytics, activation, customer intelligence, competitive landscape, revenue operations. Every weakness sized by revenue impact, ranked by priority. You get a clear picture of what to fix and in what order — before the full engagement begins.
04
Systems running — week 8+.
All six layers operational. Weekly outputs to your team. The system runs continuously — every month compounds the last. At the end, everything stays with you.
Book a 30-Minute Call See the framework first

Questions.

Or just book a call →
Kickoff within 2 weeks of contract. DISCOVER runs 6 weeks. The full system is at speed by weeks 8–10 — experiments, intelligence, and iteration running in tight cycles, each one faster than the last.
60 minutes a week from your CPO or COO. System access (analytics, Slack, CRM — read-only to start). 24-hour turnaround on approvals when things need to ship. That’s it. No steering committees.
A VP Growth hire: 3–6 months to recruit, 6–12 months to ramp, $350–500K in total compensation, plus a team to execute. The Growth OS is running in 2 weeks, full capacity in 6 weeks, with a full team already in place. It’s not a replacement forever — it’s the faster, lower-risk path for the first 12–24 months.
Agencies deliver campaigns and outputs. When they stop, the work stops. The Growth OS delivers running infrastructure — a churn model that updates weekly, an experiment library that grows with every test, competitive intelligence that compounds. When the engagement ends, the system stays.
Yes. Most clients start with The Foundation, then move into the Growth LAB. The Foundation work carries over. No rework.
The Growth OS supplements them. Jake handles experiment design, statistical analysis, churn modelling, and competitive intelligence. Your team handles execution. That’s exactly what the Growth LAB is designed for.
Fixed engagements — 3 months for the Growth LAB, 6 months for the Growth OS. Clear deliverables, defined timelines, and everything we build stays with you. Optional retainer available after the engagement ends.
It’s the right instinct — and the most common one at $15M–$30M ARR. The problem: the Growth OS runs six layers simultaneously. A growth PM who can design statistically rigorous A/B tests is rarely the same person who can build a churn prediction model, analyse 60 sales calls for JTBD signals, and instrument a clean event taxonomy. Beyond specialisation, the tooling comes from multiple client engagements — not built from scratch for the first time. An internal hire building from scratch takes 12–18 months to reach the same point. The question isn’t capability. It’s whether you want them spending 18 months building the system, or using it from week 2.

Ready to install the system?

A 30-minute call is enough to know whether what we do is relevant to where you are.

Book 30 Minutes with Jake See how the system works →

Free. No prep required.