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, 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
6 weeks to full operating capacity
THE PATTERN
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.
WHAT ACTUALLY CHANGES
HOW IT COMPOUNDS
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.
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. 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
You now have
WHAT HAPPENS AFTER YOU BOOK
THE HONEST COMPARISON
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.
Four things we build every engagement around — regardless of scope, company size, or tier.
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.
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.
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.
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.
WHAT THE WORK LOOKS LIKE
Each engagement covers multiple growth layers simultaneously. These are single threads from broader bodies of work.
Healthcare SaaS · $28M ARR
Before
What we delivered
Outcomes
“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]
E-Commerce SaaS · $22M ARR
Before
What we delivered
Outcomes
“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]
B2B Compliance SaaS · $12M ARR
Before
What we delivered
Outcomes
“We’d been optimising for the wrong customer for two years. The market analysis identified three segments we weren’t even selling to — each with materially higher retention and expansion revenue.”
— CEO, Series A Compliance SaaS [placeholder — replace with real quote]
HR Platform · 2M+ Members
Before
What we delivered
Outcomes
“We had 2 million members but no clear picture of who our most valuable users actually were. The segmentation work identified 7 distinct audience types — each needing a completely different engagement strategy.”
— Head of Product, HR Learning Platform [placeholder — replace with real quote]
Marketplace SaaS · Amazon Seller Tools
Before
What we delivered
Outcomes
“Before this engagement we had no idea where in the funnel we were losing people or which users were most likely to convert. The event architecture gave us the foundation to actually run tests.”
— CTO, Marketplace SaaS [placeholder — replace with real quote]
Healthcare SaaS · Forms & Compliance Platform
Before
What we delivered
Outcomes
“We had no idea our customers were buying for two completely different reasons. The research separated our pipeline into two distinct motions — each with its own pitch, proof points, and close path.”
— CEO, Healthcare SaaS [placeholder — replace with real quote]
Healthcare SaaS · Forms & Compliance Platform
Before
What we delivered
Outcomes
“The migration cut our analytics spend by over 90% and gave us dashboards that actually answer the questions we ask in sprint planning. We could finally see which features drove the outcomes our customers cared about.”
— CPO, Healthcare SaaS [placeholder — replace with real quote]
Gamification SaaS · Enterprise Rewards Platform
Before
What we delivered
Outcomes
“We were operating in a 35-competitor market with no structured view of where we stood. The competitive analysis gave us a positioning foundation we’d never had — and the sales team finally had answers when prospects asked why us.”
— CEO, Gamification SaaS [placeholder — replace with real quote]
WHO THIS IS FOR
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.
Foundation ($15K–$25K) → Growth LAB ($21K–$42K · 3mo)
Why you need it
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.
What you get
The result: a product team that understands their market better than ever — and an activation, expansion, and monetisation engine that compounds every month.
Foundation ($15K–$25K) → Growth OS ($108K–$300K · 6mo)
Why you need it
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.
What you get
The result: a growth infrastructure that didn’t exist before — and a team that inherits a running system instead of a deck.
THREE WAYS TO WORK TOGETHER
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.
What you get
Zero lock-in. At the end of week 6, everything we built — dashboards, research, documentation — is yours. Whether you continue or not.
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.
What you get
Cancel with 30 days’ notice. You keep every experiment, every dashboard, every intelligence report built during the engagement.
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.
What you get
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.
| Layer | What it does | Standalone value/mo |
|---|---|---|
| DISCOVER | Full growth audit across all 6 layers. Every weakness sized by revenue at stake. | $2,500 |
| INTEL | 15+ competitors monitored. Pricing, feature, and messaging moves tracked weekly. | $8,000 |
| SIGNAL | Sales call analysis, churn interviews, JTBD mapping, win/loss data at scale. | $7,500 |
| MEASURE | Clean event taxonomy, ML models, dashboards you can trust. | $5,000 |
| BUILD | Activation flows, onboarding redesigns, production code shipped. | $9,600 |
| IGNITE | Statistically rigorous A/B testing. 10–20 experiments/year. | $6,000 |
| RETAIN + CONVERT | Churn 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.
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.
START SMALLER
The DNA Analyzer is the fastest way to find out — before committing to a full engagement.
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.
WHO’S DOING THE WORK
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.
Teams Jake has worked with



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