$299 · One time
AI Growth / Lead-to-Cash Audit
A required 60–90 minute Zoom session. We map your wheel, identify 1–3 revenue leaks, and leave you with a prioritized 90-day roadmap.
Book $299 auditGrowth R&D lab · For creative + digital + tech agencies
AI Growth Engines for Creative, Digital & Tech Agencies.
— Tested in our lab before it reaches your agency.
Mass Ideation is a growth R&D lab. We build and test AI Growth Engines on our own products—Stackit, Navo, and NeedsMatch—then install the proven system in a handful of agencies so you stop leaking leads and build a repeatable lead-to-cash system.
Best fit: Agencies doing $50K–$300K/month with 30+ inbound leads and a sales-call model.
Previously trusted for creative R&D by teams at
Disney
Google
Chanel
Louis Vuitton
Nickelodeon
Johnson & Johnson
01 — Who this is for
Is This Your Agency?
- You do $50K–$300K per month but still feel feast-or-famine.
- You are great at getting attention, but leads die in inboxes, DMs, and CRMs.
- Your team is too busy delivering to follow up consistently.
- You know you need a system, not just more ads or another tool.
02 — How it works
How We Build Your Lead-to-Cash System.
Four connected steps move from the first diagnosis to a system that stays live and keeps improving.
- 01
Diagnose
Run the free AI Growth Diagnostic to identify the biggest leak in your lead-to-cash system.
Start the diagnostic - 02
$299 Audit
In a 60–90 minute AI Growth / Lead-to-Cash Audit, we map your wheel, identify 1–3 leaks, and build a 90-day roadmap.
Book $299 audit - 03
$3K / 90-Day Implementation
We install your Wheel OS in GoHighLevel, including tracking, automations, revival flows, and Navo when AI video is the right lever.
Explore implementation - 04
Optional Optimization
Continue with monitoring and optimization after the initial system is installed and operating.
See the system
03 — Growth R&D lab
Built in Our R&D Lab Before It Touches Your Agency.
We have been doing creative technology R&D for 15+ years: from early video banner ads for Disney to AR and interactive work for Chanel, Louis Vuitton, Nickelodeon, Google, and Johnson & Johnson.
Today we run AI and agent experiments on our own products—Stackit, Navo, and NeedsMatch—and only install what works in client agencies.
Stackit.ai
Treasury & cash-flow engine we grew without paid ads.
View the systemNavo
Our internal AI video engine for selected implementation clients, now in private beta.
View the systemNeedsMatch
Matching & demand experiments for connecting buyers and sellers.
View the system04 — Offers
How We Work With Agencies.
Every implementation starts with the Audit. The $3,000 founder rate is for the first few agencies and will increase as we collect more case studies.
$3,000 · 90 days
AI Growth Engine Implementation
We install the Wheel OS in GoHighLevel, connect tracking and automations, build revival flows, and add Navo when video is the right growth lever.
See the implementation05 — Optional
AI Readiness for complex products.
For agencies with software products or complex platforms that need to be agent-ready, we also offer an AI Readiness Assessment. Growth-focused agencies should start with the diagnostic.
06 — Our operating philosophy
Every idea must earn the right to continue.
Build.Measure.Learn.Repeat.
We build systems before we sell them.
AI lowers the cost of meaningful experimentation.
Our long-term goal is to discover ideas that can help millions of people.
07 — Miguel Sanchez World
AI, creative tech, and operating systems for agencies.
A practical newsletter about what we are building, testing, and learning across Mass Ideation and its R&D lab.
08 — Case studies
Systems in the real world.
We test everything on our own products first. As agency outcomes come in, their case studies will appear at the top of this section.
Labs / internal product
LiveStackit.ai
Stackit.ai grew from a manually incubated treasury strategy into an application used by hundreds of customers throughout a market cycle. Live since February 2023, Stack is now applying those product, customer, and operating lessons as it expands from human treasury owners to AI agents.
View case studyLabs / internal product
Private betaNavo
An internal AI video engine used inside selected AI Growth Engine implementations. Navo creates, publishes, and learns from video performance while the private beta develops.
View case studyLabs / internal product
TestingNeedsMatch.ai
A connection marketplace where people share what they are doing and what they need, then receive introductions to people they should know.
View case studyStart with the free diagnostic