or join Academy for $49/mo
Learn to Run Experiments That Actually Move Revenue
10 focused lessons on CRO fundamentals, testing hypotheses, and statistical rigor — so every experiment you run produces a clear answer. Taught by Brian Massey, CRO Specialist at MeasureU.
- Build testing hypotheses that produce clear, actionable results
- Know when a test is statistically done (not just "looks good")
- 10 focused lessons • ~4 hours • No filler
- Lifetime access + all future updates
Your Tests Run. Your Revenue Doesn't Move.
73%
of A/B tests fail to produce actionable results — not because the idea was bad, but because the test was designed wrong.
You set up a test, pick a winner, roll it out — and revenue doesn't change. The problem isn't your idea. It's your methodology. Without a structured hypothesis and proper controls, you're running experiments that can't tell you anything useful — even when they “win.”
67%
of A/B tests are called too early — before reaching statistical significance.
Three days in, one variant is up 12%. You call it. Ship the winner. But that lift was noise, not signal. Without understanding statistical significance, you're making permanent changes based on temporary fluctuations — and wondering why results never hold.
85%
of optimization time is spent debugging test setup instead of analyzing results.
You wanted to test a new checkout flow. Instead you spent two hours figuring out why your sample size calculator gives different numbers than the tool, whether your control group is actually a control, and why your test platform says “not enough data” after 10,000 visitors. The experiment never launched.
62%
of high-growth companies run systematic testing programs. Yours runs one vague test every few months.
Your competitors aren't guessing which headline works better. They have prioritization frameworks, testing roadmaps, and a pipeline of hypotheses. They're compounding 2-5% lifts every month while you're still debating whether to test the button color.
Course Curriculum
Two modules. 10 lessons. From fundamentals to experimentation.
1 CRO Fundamentals
- What CRO is and why it matters more than traffic
- Building hypotheses that produce testable ideas
- Prioritization frameworks for your test backlog
- Statistical significance: when results actually mean something
- Interpreting results and knowing what to do next
Result: You'll understand the full CRO methodology — from identifying what to test, to building a hypothesis, to knowing when you have a real winner (not just a lucky streak).
2 Experimentation
- Designing experiments with proper controls
- A/B testing vs multivariate: when to use each
- Creating new data with experiments (Parts 1 & 2)
- Post-test analysis and reporting
- Building a testing roadmap that compounds results
Result: You'll design, execute, and analyze experiments that produce clear answers — and build a systematic testing roadmap instead of running one-off tests.
What You'll Walk Away With
Skills you can use the week you learn them
Build Hypotheses That Produce Clear Answers
No more “let's test this and see.” You'll structure every test around a specific, measurable hypothesis — so the result tells you exactly what happened and why.
Know When a Test Is Actually Done
Statistical significance isn't optional — it's the difference between a real insight and a coin flip. You'll know exactly when to call a test and when to let it run.
Prioritize Tests by Revenue Impact
You have a dozen ideas for what to test. Prioritization frameworks help you pick the ones most likely to move the needle — not just the ones that are easiest to set up.
Connect Tests to Business Results
A test that “won” means nothing if you can't tie it to revenue. You'll measure actual lift and report results in language stakeholders care about — dollars, not percentages.
Ready to Run Tests That Actually Mean Something?
10 lessons. 2 modules. From CRO fundamentals to systematic experimentation. Everything you need to build hypotheses, run rigorous tests, and measure real revenue impact.
Your Instructor
Brian Massey
Founder, Conversion Sciences
Brian Massey is “The Conversion Scientist” — founder of Conversion Sciences and author of Your Customer Creation Equation. He's spent over 15 years helping businesses turn website traffic into revenue through data-driven experimentation. His lab-coat-wearing approach to CRO has made him one of the most recognized voices in conversion optimization.
- ✓ Author of Your Customer Creation Equation
- ✓ Founder of Conversion Sciences — 15+ years in CRO
- ✓ Known as "The Conversion Scientist" in the industry
What Students Say
"The CRO course changed how I approach testing entirely. I went from randomly tweaking pages to running structured experiments with real hypotheses. The statistical significance module alone saved me from calling tests way too early."
Sunny Kumar
"Brian explains CRO in a way that just clicks. I've taken other optimization courses that were either too theoretical or too surface-level. This one hits the right balance — practical frameworks I started using the same week."
Kathy Olson-Verville
"Before this course, I was the person who called a test after three days because the numbers 'looked good.' Now I actually understand what statistical significance means and why it matters. My team trusts our test results for the first time."
Jay Buecek
"The prioritization framework module is worth the price of admission. I had a backlog of 30+ test ideas and no idea where to start. Now I score and rank them systematically — we're running higher-impact tests and seeing real revenue movement."
Lori Baxter
"What I appreciated most was Brian's focus on connecting test results to business outcomes. It's not just 'Variant B won.' It's 'here's the projected revenue lift and here's how to present it to your stakeholders.' That's the part most CRO training misses."
Justin Regis
"10 lessons doesn't sound like a lot until you realize there's zero filler. Every lesson builds on the last one. I've taken 40-hour courses that taught me less about actual optimization than this one did in four hours."
Jason Thibault
Making random changes and hoping something sticks
Calling winners after 3 days because the numbers “look good”
Testing whatever seems interesting this week
Hoping your analytics are configured correctly
Running one vague test every few months
Can't connect test results to actual business impact
Every test starts with a structured, measurable hypothesis
Statistical significance determines when a test is done
Prioritization framework ranks tests by revenue impact
Understanding exactly what your measurement is tracking
Systematic testing roadmap that compounds results monthly
Clear lift and ROI measurement for every experiment
Two Ways to Get This Course
Get this course on its own, or get everything with Academy
CRO Course Only
Lifetime access to this course
- All 10 lessons across 2 modules
- CRO Fundamentals → Experimentation
- Hypothesis frameworks and prioritization templates
- Lifetime access to all updates
MeasureU Academy
All 10 courses + tools + community
- This CRO Course + 9 other courses
- GA4, GTM, Google Ads, Looker Studio, and more
- Tools, templates, calculators, frameworks
- Full community access
- Cancel anytime — no commitment
Think about it: Academy costs half of what the CRO course costs standalone. And you get 10 courses instead of one. If you need anything beyond CRO — GA4, GTM, reporting — this is the obvious choice.
Want More Than Just CRO?
You're here because you want to optimize conversions. But optimization without proper measurement is guesswork. GA4, GTM, Looker Studio — the full stack matters. MeasureU Academy gives you all 10 courses for $49/month. Cancel anytime.
Join Academy — $49/mo30-Day Money-Back Guarantee
If the course isn't what you expected, email us within 30 days for a full refund. No questions asked.
We've taught thousands of students. We're confident this will be worth your time. But if it's not — you're covered.
Frequently Asked Questions
+ − Is 10 lessons enough to learn CRO?
+ − Do I need coding experience?
+ − Does this work with any A/B testing tool?
+ − What's the difference between this course and Academy?
+ − Can I get a refund?
+ − Do I need analytics experience?
+ − What if I get stuck?
+ − Who teaches this course?
Build Hypotheses. Run Rigorous Tests. Measure Revenue Impact.
All Without Guessing Whether Your Results Are Real.
$99
One-time payment • Lifetime access
30-Day Money-Back Guarantee