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.

Jake McMahon Jake McMahon, ProductQuant

Helping B2B SaaS scale product growth and analytics as a unified Growth OS

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

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

DISCOVERFull audit across all 6 growth layers. Every leak sized by revenue impact — so you fix the right things first.
INTEL15+ competitors tracked continuously. You see pricing moves, feature launches, and messaging shifts days after they happen.
SIGNALEvery sales call, support ticket, churn exit, and NPS response processed into structured decisions — not unread folders.
MEASUREAnalytics rebuilt around your users’ key value moments. Dashboards your team opens because they answer the questions that matter.
BUILDActivation flows redesigned, onboarding rebuilt, product changes shipped — directly inside your product, from week 2.
IGNITEStatistically rigorous experiments running continuously. 10–20/year. Each result sharpens the next — no more inconclusive reads.
RETAINYour CS team gets a weekly at-risk list — 30–60 days before accounts would have cancelled. Expansion triggers running in parallel.
CONVERTSales messaging extracted from your best winning conversations. Tested against each competitor. Updated every month.

6 weeks to full operating capacity

It’s not the tools. It’s never the tools.

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.

Six things that look different when the system is running.

Market Intelligence
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 and what they’re willing to pay
  • You stop guessing which market to chase
Customer Intelligence
You understand your customers deeply enough to build what they’ll pay for.
  • What customers are hiring your product to do — mapped from real calls and tickets
  • Which features are must-haves, nice-to-haves, and which nobody cares about
  • Why they buy from you — and why they leave
  • Sales calls, support tickets, interviews, and behavioural data all analysed
  • Your roadmap built on what customers actually need, not planning-meeting assumptions
Analytics
You understand your growth levers and leaks — and can see them moving.
  • Analytics rebuilt around how users experience value, not which buttons they click
  • Dashboards built for decision-makers that show where growth is working and leaking
  • Which features drive retention, where users drop off, which segments are expanding
  • Decisions made in hours instead of debated for quarters
Competitive Positioning
You know how to position, price, and win against every competitor.
  • Every relevant competitor analysed — features, pricing, messaging, claims vs reality
  • Which competitor claims are exaggerated and where your genuine advantages are
  • Pricing strategy grounded in competitive data and willingness-to-pay evidence
  • Battle cards your sales team uses on real calls — not a brand guidelines PDF
Activation
More users reach value — because the experience is built for them.
  • Activation funnels mapped by segment with time-to-value measured
  • Onboarding redesigned around what each customer type is trying to accomplish
  • In-app guidance and email sequences built per persona, not one generic tour
  • Revenue currently lost to drop-off quantified and recovered
Systems
Everything runs. Nothing sits on a shelf.
  • Working dashboards your team opens every morning
  • Experiments running and being iterated on continuously
  • Analytics infrastructure your team self-serves without filing engineering tickets
  • Onboarding flows live and converting
  • Everything documented, everything yours to keep — not a deck nobody implements

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

Month 1
  • All 6 growth layers audited, every leak sized by revenue
  • Analytics rebuilt from scratch with clean data from day one
  • 15+ competitors tracked, competitive intelligence live in Slack
  • First insight surfaces: a segment with 3× your average LTV that your onboarding completely misses
Month 2
  • That segment gets its own activation path. Time-to-value cut by 40%
  • Three experiments running with statistical confidence — no more inconclusive reads
  • Customer research reveals your highest-value feature is undiscoverable by 87% of users
  • Pricing analysis shows two segments are significantly undercharged
Month 3
  • Pricing test live. Revenue impact documented and board-ready
  • Churn model running — CS team gets their at-risk list every Monday, 30–60 days before cancellation
  • Experiment 4 compounds experiment 3. The system is sharper than month 1
  • All systems running automatically. No new hires needed. The team inherited the infrastructure

Each insight feeds an action. Each action sharpens the next cycle. Nothing starts from scratch — because the system retains everything. That’s what the Growth OS means by compounding: not a series of engagements that reset, but a single integrated loop that gets faster every month.

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. You have a clear strategy, you know exactly why you’re pursuing it, you know which growth levers to pull on and in what order — and you have data showing it’s working. When the board asks why growth accelerated, you don’t have a theory. You have the data.

You’re growing faster with the same team. Not because you’re working harder. Because every decision is now connected to evidence instead of opinion — and the system that produces it compounds every month.

No more

  • Debating which features to build because the data isn’t clean enough to answer the question
  • Finding out about churn after the cancellation email arrives
  • Quarterly planning that starts from scratch every time
  • Growth investments that don’t build on each other

You now have

  • Behavioural data that tells you what each segment needs to activate and expand
  • A CS team that saves accounts 30–60 days before they’d have cancelled
  • An experiment system that gets sharper every month — month 6 faster than month 1
  • A growth infrastructure your team owns and operates independently

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.

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. The math runs whether or not you’re tracking it.
Every month of delay has a price. It just doesn’t arrive as a single invoice.

Built differently. On purpose.

Four things we build every engagement around — regardless of scope, company size, or tier.

Everything we build is yours.

Dashboards, research, product improvements, documentation, experiment library. No lock-in. No proprietary tools you’d need us to maintain. The system doesn’t leave when the engagement ends.

Built on your data. Not industry benchmarks.

Your customers, your product behaviour, your market. Not analyst reports or playbooks pulled off a shelf. We’ve seen what generic benchmarks deliver. It’s the reason clients come to us after leaving those engagements.

We ship working systems. Not slide decks.

Dashboards live in your product. Experiments running. Churn predictions updating. New user experiences shipping. If it doesn’t run when the engagement ends, it doesn’t count as delivered.

The scope is the scope.

No surprise invoices. No “that’s Phase 2.” What’s in the proposal is what we build. We’d rather define scope tightly and deliver it fully than expand it and deliver it partially.

Real engagements. Specific results.

Each engagement covers multiple growth layers simultaneously. These are single threads from broader bodies of work.

Two types of company. Find yours.

You've reached a stage where growth is real but unsystematic. Each tool works in isolation. Each quarter you start from scratch. You need the connective tissue — the system that turns isolated tools into a machine that compounds. ProductQuant runs 2–3 active engagements at a time. Fit matters more than throughput.

$1M–$50M ARR

Growing well. Want to compound.

Foundation ($15K–$25K) → Growth LAB ($21K–$42K · 3mo)

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.

  • Market intelligence: ICP built from data, TAM sized, high-value segments identified
  • Competitive positioning: 15+ competitors tracked, moves in your Slack days after they happen
  • Experiment system: 10–20 tests/year with statistical rigour — clean reads, not inconclusive
  • Dashboards your team trusts and opens because they answer the questions that actually come up
  • Monthly roadmap input grounded in last month’s results, not a fresh round of guessing

The result: a product team that understands their market better than ever — and an activation, expansion, and monetisation engine that compounds every month.

$1M–$50M ARR

Growing, but it’s messy.

Foundation ($15K–$25K) → Growth OS ($108K–$300K · 6mo)

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.

  • Analytics rebuilt: dashboards aligned with your users’ key value moments — live from week 2
  • Churn prediction: CS team gets a weekly at-risk list 30–60 days before accounts cancel
  • Activation: each segment gets the onboarding path built around their specific path to value
  • Pricing strategy grounded in segment data and willingness-to-pay evidence, not guesswork
  • All 6 growth layers running simultaneously within 6 weeks

The result: a growth infrastructure that didn’t exist before — and a team that inherits a running system instead of a deck.

Pre-PMF or under $1M ARR? The Growth OS, LAB, and Foundation are built for teams already generating revenue and customers. If you’re earlier than that, our free tools and standalone diagnostics are the right starting point — and when you’re scaling, we’ll be here.

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.

  • Full growth audit across all 6 layers
  • Analytics infrastructure rebuilt and verified clean
  • Customer intelligence: JTBD mapped, key segments identified, ICP defined from data
  • Competitive landscape: 15+ competitors analysed
  • Revenue leak report: every weakness sized by revenue at stake
  • Prioritised roadmap your team can execute immediately
  • All dashboards, research, and documentation yours to keep
Learn more →

Zero lock-in. At the end of week 6, everything we built — dashboards, research, documentation — is yours. Whether you continue or not.

$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. Your team builds the muscle to run this independently.

  • Monthly experiment cycle: hypothesis → test → result → next test
  • Competitive intelligence updated weekly — pricing, feature, and messaging moves
  • Customer signals: sales calls, churn exits, NPS analysed each month
  • Activation tracking by segment and cohort — you see what’s improving
  • Monthly roadmap input grounded in last month’s data
Learn more →

Cancel with 30 days’ notice. You keep every experiment, every dashboard, every intelligence report built during the engagement.

$100,000–$150,000 6-month engagement · (≈$17K–$25K/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.

  • All 6 growth layers running simultaneously from week 2
  • Monthly delivery: new experiments, competitive intel, research synthesis, product improvements
  • 60-minute weekly sync — the only recurring time commitment required
  • Everything documented, operational, and yours at handoff — not a system that stops when the contract ends
Learn more →

At month 6 you inherit a fully running system — trained team, documented workflows, every layer operational. If you want to continue: month-to-month option available.

What’s running every month — and what each layer costs to buy separately:
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
MEASUREClean 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
Standalone value per month$70,850
Standalone value over 6 months$425,100
Growth OS — from$17K/mo

You get all 8 layers running — for a fraction of what each costs separately. Everything documented and yours at the end.

See full pricing

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

Our job is to install the growth system into your business — not to rent it to you.

Every engagement includes documentation, team training, and your team running the system alongside us throughout the engagement. By month 6 of a Growth OS, your team has experienced the full process and is equipped to run it independently. If you want someone to keep driving it forward after that — there’s a month-to-month continuation option at a reasonable ongoing rate.

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.

ActivationActivation Deep Dive
$4,997
Where signups stop becoming customers — and what to fix first.
“Free-to-paid is our biggest leak.”
ActivationOnboarding Review
$4,997
How in-app, email, docs, and CS actually work together — or don’t.
“Onboarding is a patchwork nobody owns.”
RetentionChurn Prediction
$4,997
Your CS team intervenes before accounts cancel, not after.
“We find out when they cancel.”
RevenuePricing Audit
$2,997
What customers will actually pay and how to structure tiers that convert and expand.
“We haven’t tested pricing since launch.”
RevenueStripe & Revenue Segmentation
$2,997
Which customers matter most, who’s expanding, and where revenue actually concentrates.
“We treat all customers the same.”
AnalyticsAnalytics Audit
$3,497
Which data you can trust, what’s missing, and what to rebuild first.
“We have dashboards nobody trusts.”
AnalyticsPostHog Setup
$2,497
Clean analytics aligned with your users’ key value moments — live from day one.
“Our tracking is a mess.”
ExperimentsExperiment Velocity
$3,497
Why your tests come back inconclusive — and how to run tests that produce clear decisions.
“We run tests but nothing is definitive.”
Jake McMahon, founder of ProductQuant

Jake McMahon · Founder, ProductQuant

Jake McMahon

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

Eight years as a product leader inside B2B SaaS companies — 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. 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.

Teams Jake has worked with

monday.commonday.com
PayoneerPayoneer
thirdwebthirdweb
GuardioGuardio
GainifyGainify
Canary MailCanary Mail
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.