Case Studies

Real revenue architecture breakdowns.

Built from your attached documents, these consulting-grade studies show how revenue leaks hide inside monetization systems, expansion paths, and engagement loops long before the dashboard makes them obvious.

Real Portfolio Cases

Three revenue architecture studies built from real business models.

These case studies move past generic before-and-after claims. Each one isolates a structural revenue leak, quantifies the opportunity, and maps how monetization logic breaks between product value and captured revenue.

Real Case StudyRevenue Architecture

Notion

Notion built a world-class product-led growth engine, but its monetization moments still arrive as friction walls instead of value-aligned upgrades.

Opportunity

$95M-$135M ARR without new users or new product lines

Modeled ARR Opportunity

$95M-$135M

Free Users Unpaid Today

~87-95%

Mid-Market Teams Undermonetized

5,000+

Structural Problem

Value compounds early across individual usage, team formation, and critical workflows while revenue capture stays delayed and constraint-triggered.

Revenue Leak Points

1High individual value with zero monetization signal

2Team collaboration scaling without seat-based capture

3Enterprise conversion delayed behind sales-heavy friction

Open Full Document Start a Consultation

Revenue Signal Build

Architecture View

Signal captureweak

Monetization timinglate

Expansion logicpassive

Revenue conversioncapped

Real Case StudyExpansion Monetization Redesign

HubSpot

HubSpot already generates the usage signals that should trigger expansion, but the product does not automatically convert those signals into revenue actions.

Opportunity

$150M-$300M+ incremental ARR from existing accounts

Incremental ARR Opportunity

$150M-$300M+

Current NRR

102-105%

New Pro+ Customers Already Multi-Hub

62%

Structural Problem

Usage grows, multi-hub need becomes obvious, and account value deepens, yet expansion still waits for sales intervention or renewal timing.

Revenue Leak Points

1No product-led expansion engine between signal and revenue action

2Pricing architecture that blocks incremental expansion

3Signals accumulate, then expire before monetization

Open Full Document Start a Consultation

Revenue Signal Build

Architecture View

Signal captureweak

Monetization timinglate

Expansion logicpassive

Revenue conversioncapped

Real Case StudyEngagement-to-Revenue System Redesign

CRED

CRED has one of the strongest engagement systems in Indian fintech, but the system stops after habit formation instead of routing users into the next revenue event.

Opportunity

₹265 Cr-₹865 Cr additional ARR from existing users

Additional ARR Opportunity

₹265 Cr-₹865 Cr

Monthly Active Users

13M

Monthly Retention

88%

Structural Problem

Retention, session frequency, and premium user quality all signal monetization potential, yet product discovery is passive and expansion remains accidental.

Revenue Leak Points

1Engagement and monetization systems are disconnected

255% of users stay trapped in 1-2 product usage

3Premium user value is under-captured by passive expansion

Open Full Document Start a Consultation

Revenue Signal Build

Architecture View

Signal captureweak

Monetization timinglate

Expansion logicpassive

Revenue conversioncapped

Your case should surface the leak before it becomes a forecast problem.

Mantis Predict builds each engagement around the specific monetization system, expansion signals, and decision constraints inside your business, not around recycled growth templates.

Start a Consultation