You track MRR in Stripe. You can't explain what drives upgrades.

30%+ of revenue should come from expansion. You're probably at 10-15%. Not because customers don't want to pay more — because you don't know what triggers the upgrade.

You get: Expansion Trigger Map · Revenue & Expansion Dashboard · Feature-Plan Alignment Report · Experiment Backlog (3-5 tests) · 60-min Handoff Call

Expansion triggers mapped in 30 days · Money-back guarantee

Find the Revenue → Watch the breakdown ↓

For B2B SaaS companies at $3M-$80M ARR

THE 3-MINUTE BREAKDOWN

Jake McMahon walks through why expansion revenue stays flat — and the 30-day fix.

Monetization is 4x more efficient than acquisition. But nobody's working on it.

It costs 4x less to expand an existing account than to acquire a new one. Yet most SaaS companies spend 80% of their GTM budget on new logos and assign zero engineers to expansion triggers. The math doesn't add up.

Your highest-value feature is buried. Most users never find it.

Every product has a power feature hidden behind three clicks, a settings menu, or a plan gate that shouldn't exist. When customers find it, they stay longer and upgrade more often. When they don't, they churn at month 4 wondering what they're paying for.

Mid-tier cannibalization: your pricing page says 'features' but your customers think 'outcomes.'

Feature-gated pricing creates a paradox. Your best plan has the most features, but customers buy the cheapest plan that solves their immediate problem. Then they never discover the features that would make them upgrade. Your pricing page is actively preventing expansion.

THE EXPANSION GAP

Five signs your expansion revenue is invisible.

You know who upgraded. You don't know why.

Stripe tells you the MRR change. It doesn't tell you which feature they adopted, which workflow they built, or which moment made them realize the next tier was worth it. You have revenue data, not behavior data.

Pricing anchoring kills expansion before it starts.

Customers anchor to the cheapest plan that solves their immediate problem. By the time they see the value of upgrading, changing feels like a penalty — not a natural next step.

Your pricing page says features. Your customers think outcomes.

Feature gates make sense to your product team. Customers don't think in features — they think in problems solved. '10 users' vs 'unlimited users' means nothing to someone who doesn't yet know they'll need a team. The pricing model and the customer journey are misaligned.

Expansion is owned by 3 departments. Which means nobody owns it.

Product builds the features. Sales does the upsell. CS handles the renewals. Nobody owns the behavior-to-revenue pipeline. Nobody is asking: what do customers do in the product in the 14 days before they upgrade? The answer to that question is worth millions. Nobody's measuring it.

Customers are downsizing, not expanding.

Contraction MRR is quietly eating your growth. Customers downgrade because they're paying for features they don't use — not because they don't need more. They needed a different 'more.' Your expansion path and their usage pattern point in different directions.

What invisible expansion actually costs.

1.8x

retention multiplier when users discover the power feature

But most users never find it on their own. They churn without ever seeing the feature that would have made them stay and upgrade.

35% vs 10%

expansion revenue at outlier companies vs. the industry average

The best B2B SaaS companies generate 35%+ of revenue from expansion. Most are stuck at 10-15%. The difference isn't pricing — it's knowing what product behavior predicts an upgrade.

monetization is 4x more efficient than acquisition

Every dollar invested in expansion revenue returns 4x what a dollar of new-logo acquisition returns. Yet most companies allocate 0 engineering hours to expansion triggers and 100% of GTM spend to acquisition.

THE SHIFT

From expansion invisible to expansion engineered.

	BEFORE	30 DAYS AFTER
Expansion triggers	Unknown — Stripe shows MRR, not behavior	Mapped: the 3-5 behaviors that predict upgrades
Revenue by segment	Blended MRR number, no segmentation	LTV and expansion rate by segment, plan, and cohort
Feature-plan alignment	Plans gated by features customers don't understand	Plans aligned to outcomes customers already value
Pricing model	Feature-gated tiers — cheapest plan wins every time	Usage-aligned pricing with natural upgrade paths
Discovery paths	Power features buried — 13% find them	Guided activation paths driving 40%+ discovery
NRR ownership	Split across Product, Sales, CS — nobody owns it	Single expansion dashboard, one owner, weekly cadence

THE PROCESS

Three phases. 30 days. Expansion triggers mapped and tested.

WEEK 1 · DATA MAPPING

We connect to Stripe, your analytics platform, and your product database. Map every revenue event to product behavior. Identify which users expanded, which contracted, and what they did differently in the product before the change happened.

Revenue Event Map + Behavior Baseline

WEEKS 2-3 · ANALYSIS + DASHBOARDS

Segment-level LTV analysis. Feature-plan alignment audit. Discovery path mapping — which features predict upgrades, which are invisible, where the pricing model blocks natural expansion. Build the Revenue & Expansion Dashboard your team will use every week.

Revenue & Expansion DashboardSegment-Level LTV AnalysisFeature-Plan Alignment Report

WEEK 4 · ROADMAP + HANDOFF

Expansion Experiment Backlog: 3-5 tests prioritized by expected revenue impact vs. engineering effort. 60-minute handoff call — we walk through every finding, every dashboard, every experiment. Your team runs it from here.

Expansion Experiment Backlog (3-5 tests)60-min Handoff Call + Recording

WHY THIS ANALYSIS IS DIFFERENT

We find the behaviors that predict expansion. Not just redesign your pricing page.

Most pricing consultants look at your tiers, benchmark against competitors, and hand you a new pricing page. That's cosmetic. The real question isn't what to charge — it's what product behavior predicts a customer is ready to pay more. That's a data problem, not a design problem.

ProductQuant maps the behavior-to-revenue pipeline. We connect what users do in the product to what they pay in Stripe, segment by segment. When you can see that customers who use Feature X within 21 days expand at 3x the rate, you stop guessing and start engineering expansion.

The dashboards, the analysis, the experiment backlog — it all stays with you. No lock-in. No proprietary tools. No 'you need us to read the data.' It's yours.

$2.5M+

expansion revenue identified at one client

1.8x

retention multiplier from feature discovery

78% vs 33%

win rate with vs. without expansion data

THE WORK

What happened when expansion triggers became visible.

E-COMMERCE SAAS

$2.5M+

annual expansion revenue identified

13% → 40%+

power feature discovery rate

Their highest-value feature had zero guided activation. After mapping discovery paths and building expansion triggers, feature adoption jumped from single digits to 40%+ and retention multiplied across every segment.

HEALTHCARE SAAS

$272K-$505K

annual impact from segment-level analysis

118+

dashboards built from behavioral data

Revenue was blended into a single MRR number with no segmentation. After segment-level LTV analysis, they identified which customer segments expanded, which contracted, and which pricing changes would unlock $272K-$505K in annual impact.

If we can't identify at least $150K in expansion opportunity, full refund.

We've mapped expansion triggers at dozens of B2B SaaS companies. Every single one had revenue hiding in plain sight — in feature adoption gaps, pricing misalignment, or discovery paths that didn't exist. If we can't find at least $150K in addressable expansion revenue at yours, you pay nothing.

Find the Revenue →

Questions.

Or book a call →

How is this different from a pricing audit?+

A pricing audit looks at your tiers and benchmarks them against competitors. This maps product behavior to revenue. We answer the question pricing audits can't: what do customers do in the product before they upgrade? That's the difference between a new pricing page and an expansion engine.

What data do you need?+

Stripe (or your billing system), your analytics platform (Amplitude, Mixpanel, PostHog, Segment, or equivalent), and ideally product database access for usage metrics. Read-only access to all three. We handle the integration and data mapping in Week 1.

Our NRR is already decent. Is this still useful?+

'Decent' NRR usually means expansion is happening accidentally — a few power users find the upgrade path on their own. The analysis shows you why those users expanded and how to engineer that behavior across your entire base. Companies with 'decent' NRR often have the most upside because the product already delivers value — it's just invisible.

Is this a pricing problem or a product problem?+

Usually both. The pricing model determines what customers can access. The product experience determines what they discover. When the two are misaligned — and they almost always are — expansion stalls. We map the misalignment and give you a plan to fix both.

What's the investment?+

The Focused Sprint is $15,000 for the full 30-day engagement. Expansion triggers mapped, dashboards built, experiment backlog delivered. Money-back guarantee included.