For Teams Already Running Experiments

Your tests run.
Your revenue doesn't move.

You have a testing program. You have results. But you can't connect any of it to revenue. That's not a testing problem. That's an architecture problem.

35%
Our clients' avg win rate
$65K
Revenue per winning test
15%
Waste rate (industry: 40%)
90 days
To compounding

Trusted by growth teams managing $10M+ in annual digital spend

THE REAL PROBLEM

Most testing programs are activity.
Not architecture.

You're running tests. You're getting results. But without a system that connects experimentation to business decisions, you're generating data nobody acts on.

Without Architecture

Tests launch. Nothing compounds.

Tests ranked by HiPPO opinion, not margin impactChaos
Your CFO thinks CRO is a cost center$0 proven
Every quarter starts from zero — no compounding loop~12% win rate
Paying $120K/yr for Optimizely. Using 15% of it.Wasted
With Architecture

Every test builds on the last.

Every test scored by projected P&L impact before it runsPrioritized
CFO-ready reporting. Board decks with real numbers.$65k avg/test
A hypothesis library that makes every test smarter than the last35% win rate
Win rate trending up. Revenue per winner trending up. Quarterly.Scaling
WHAT WE FIND IN EVERY AUDIT

The five architecture failures
hiding in your program.

01

No hypothesis framework.

Your team picks tests based on gut feel, stakeholder requests, or whatever's easiest to build. There's no systematic way to prioritize by revenue impact.

02

No valid baselines.

You're measuring lifts against arbitrary benchmarks. Without statistically valid baselines, your "wins" might be noise and your "losses" might be winners you killed too early.

03

No compounding logic.

Each test lives in isolation. Wins don't feed the next hypothesis. Learnings don't accumulate. You're running experiments but you're not building knowledge.

04

No revenue connection.

Your testing dashboard shows conversion rate lifts and statistical significance. Your CFO wants to see dollars. The gap between those two things is where credibility dies.

05

No measurement governance.

Different teams define success differently. Metrics aren't standardized. Test results can't be compared across initiatives. You're building a library nobody can read.

If three or more sound familiar, your program doesn't need more tests. It needs architecture.

YOUR GUIDE

I've audited 30+ experimentation programs.
Here's what I always find.

Aaron — Founder of Megamize

Five years building and scaling an experimentation program that generated eight figures in incremental revenue. Thousands of tests across dozens of verticals. The pattern is always the same: smart teams running good tests inside bad architecture.

The tests aren't the problem. The system around them is.

“You don't need better tests. You need a better system around your tests.”

THE ARCHITECTURE

Three phases. One outcome:
compounding revenue.

We don't replace your testing program. We give it the infrastructure to actually drive business decisions.

01

Audit

We tear down your current program: hypothesis quality, prioritization logic, measurement rigor, and revenue attribution. You'll see exactly where the architecture breaks.

02

Architect

We rebuild the infrastructure: a hypothesis framework ranked by revenue impact, standardized baselines, governance for measurement, and a direct line from test results to business decisions.

03

Compound

Every test feeds the next. Winners scale with data. Losers teach with evidence. Your program stops generating reports and starts generating compounding revenue.

THE 90-DAY SPRINT

From activity to architecture in 90 days.

You already have a testing program. We give it the infrastructure to compound. In 90 days you walk away with:

Day 1–14

Full Architecture Audit

We tear down your current program and map every structural gap between your tests and your revenue.

Day 15–45

Infrastructure Rebuilt

Hypothesis framework, measurement governance, revenue attribution model, and prioritization system in place.

Day 46–75

First Tests on New Architecture

You see the difference between activity and evidence in real time.

Day 76–90

System Handoff

Your team owns an experimentation program that compounds learning and connects every test to a business decision.

THE MATH

The cost of unarchitected testing.

Without architecture:

5 tests/mo × 20% win rate × $80K/winner

= $960K/year

With architecture:

9 tests/mo × 35% win rate × $150K/winner

= $5.7M/year

The delta: $4.7M

The tests are the same. The architecture is the difference.

THE OUTCOME

What changes in the first year.

Revenue attribution solved.

Every test connects to a dollar amount your CFO can see.

Compounding knowledge.

Every result feeds the next hypothesis. Your program gets smarter, not just busier.

Measurement you can trust.

Standardized baselines, governance, and rigor that makes your data defensible.

A team that thinks in systems.

Your people stop running isolated tests and start building connected experiments that compound.

FROM PROGRAMS WE'VE ARCHITECTED

From programs we've architected.

$75M hair care brand

They were running 8 tests a month with a 12% win rate. We rebuilt the hypothesis framework and prioritization logic. Win rate hit 38% in one quarter. Revenue per winner jumped from $45K to $112K.

$40M telehealth company

They had no measurement governance — every team defined "success" differently. We standardized baselines and built revenue attribution. Waste rate dropped from 45% to 12%. CFO moved CRO to a strategic line item.

$120M supplement brand

Their testing program generated data but no compounding knowledge. We built the learning loop. 90-day subscription retention improved from 52% to 71%. $8.2M in prevented churn over 12 months.

START HERE

Your program has an architecture gap.
Let's find it.

The architecture audit takes one call. You'll see exactly where your testing program breaks down between activity and revenue. If the architecture is solid, we'll tell you.

Get Your Architecture Audit

Or, see the 90-Day Sprint →