Scaled an enterprise experimentation program from 20 to 100+ experiments in a year — and connected every single one to revenue.
$30M+ Incremental Revenue (2025)
4x YoY Test Velocity
200+ Experiments Shipped
Services
Stop Guessing.
Stop Guessing.
Start Proving.
Your marketing team runs experiments. Mine connect them to revenue. Every framework I build is designed to answer one question: did this make us money?
Apply to Work Together →$30M+
Revenue Impact (2025)
$1B+
Client Pipeline (SVB 2023)
500+
Experiments Shipped
4x
Test Velocity Increase
The Real Cost of Guessing
If any of this sounds familiar,
If any of this sounds familiar,
you're leaving money on the table.
01
You're spending millions on campaigns you can't prove work.
Your CFO asks 'what did that $2M buy us?' and your team scrambles to find a metric that looks good. Engagement is up. Cool. Revenue? Nobody checked.
Average cost: 20-40% of marketing budget wasted on unproven spend.
02
Your A/B tests are theater.
You run tests, declare winners at 70% confidence, and ship. Six months later, the 'winning' variant is underperforming control. Sound familiar?
Average cost: $500K-$2M in false positive decisions per year.
03
Your team's insights don't compound.
Every experiment result lives in a Slack thread. The next team runs the same test six months later. Your organization never learns faster than it forgets.
Average cost: 12-18 months of repeated mistakes before someone notices.
"The question isn't whether you can afford to invest in experimentation. It's whether you can afford another year of marketing spend you can't prove works."
What I Actually Do
Four capabilities.
Four capabilities.
One outcome: revenue you can measure.
Revenue Experimentation
Every test connected to the P&L before a line of code is written
I design experiments with revenue hypotheses from day one. No vanity metrics. No engagement scores. Just experiments that show up on your income statement.
200+ experiments at NRG Energy, each tied to incremental revenue.
Conversion Optimization
More revenue from the traffic you already have
Full-funnel CRO from awareness through retention. Behavioral analysis, friction mapping, and systematic lift measurement across every touchpoint.
700% organic traffic growth at SVB. 30K+ users at Jobsolv with zero ad spend.
Behavioral Science
Use how people actually decide to improve how they buy
Framing, choice architecture, loss aversion, social proof. Applied decision science to real marketing and product decisions — not academic theory.
Behavioral frameworks drove the highest-performing experiments at every company I've worked with.
Growth Analytics & Attribution
Know exactly what's working, kill what isn't, prove it to the CFO
Building measurement infrastructure that makes reliable decision-making possible. Attribution, incrementality, and causal inference that leadership actually trusts.
Built the attribution system that tracked $1B+ in new client pipeline at SVB.
Proof, Not Promises
Real numbers.
Full case studies →
Real numbers.
Real companies. Measured.
Sole analytics function for SVB's entire Startup Banking division. Built the measurement infrastructure that contributed to $1B+ in new client acquisition.
$1B+ New Client Pipeline
4 Markets Expanded
700% Organic Traffic Growth
Applied experimentation-driven growth to a consumer product. Zero paid ad spend. Behavioral design and onboarding optimization only.
30K+ Users Acquired
$0 Paid Ad Spend
Day 1 Revenue Generated
What Leaders Say
Don't take my word for it.
Don't take my word for it.
Take theirs.
"The geo-holdout framework Atticus designed saved us from a bad $2M media buy decision. One experiment paid for two years of the entire program."
Chad W.
CMO · Energy Retail
"Atticus built the experimentation muscle our marketing team didn't know we needed. The revenue attribution alone changed how we allocate budget across channels."
Dean P.
Chief Revenue Officer · NRG Energy
"His ability to translate test results into executive narratives is rare. He doesn't just run experiments — he changes how leadership thinks about evidence and decision-making."
Nabin D.
VP of Growth · NRG Energy
"Atticus Li stands out as one of the very best. His ability to bridge the gap between analysis and implementation sets him apart as a marketing analyst who delivers measurable results."
Blake Park
Marketing Director · Silicon Valley Bank
Investment, Not Cost
If one experiment saves you $2M,
If one experiment saves you $2M,
what's the right investment?
Clients typically see 10-50x return on engagement investment. Choose the scope that matches where you are today.
Experimentation Audit
Find the millions you're leaving on the table.
A one-time deep-dive into your current experimentation program (or lack of one). You'll walk away with a prioritized experiment roadmap, measurement framework, and a clear picture of where the money is hiding.
Best for: Teams who want clarity before committing.
- Full experimentation maturity assessment
- Revenue-connected experiment roadmap
- Measurement framework design
- Attribution gap analysis
- Executive presentation of findings
Most Popular
Growth Engine Build
Stop guessing. Start proving.
A 90-day engagement to build the full experimentation infrastructure, run your first batch of revenue-connected experiments, and train your team to sustain it without me.
Best for: Teams ready to build a real experimentation practice.
- Everything in Experimentation Audit
- Experiment infrastructure setup
- First 10-20 revenue experiments designed and launched
- Statistical rigor framework (no more 70% confidence winners)
- Team training and knowledge transfer
- Weekly executive reporting cadence
Fractional Experimentation Leader
Your unfair advantage, compounding quarterly.
Ongoing embedded leadership. I own the experimentation program, report to the C-suite, and compound learnings quarter over quarter. This is how NRG Energy got to $30M+.
Best for: Teams who want a permanent competitive moat.
- Everything in Growth Engine Build
- Ongoing experiment program ownership
- C-suite reporting and narrative building
- Cross-functional experiment prioritization
- Incrementality and causal inference at scale
- Organizational learning system design
Common Questions
Still thinking?
Still thinking?
Good. You should be.
How is this different from hiring an agency?
Agencies optimize campaigns. I build the system that tells you which campaigns are actually working. Most agencies can't do incrementality measurement, causal inference, or connect experiments to P&L outcomes. I can.
What if we already have an analytics team?
Good. I work with your team, not instead of them. Most analytics teams are strong on reporting but lack experimentation infrastructure and revenue attribution. I fill that gap and train your team to sustain it.
How fast will we see results?
First experiments are typically live within 2-3 weeks. Revenue-attributable results within 60-90 days. The NRG Energy program hit $30M+ in its first full year.
What industries do you work in?
Enterprise (Fortune 150-500), SaaS, and high-growth startups. If your company spends more than $1M/year on marketing and can't prove what's working, we should talk.
Do you guarantee results?
I guarantee the system works. Every client engagement has produced measurable, revenue-attributable outcomes. If we're not the right fit, I'll tell you on the first call — and point you to someone who is.
Limited Availability
I take on 2-3 clients
I take on 2-3 clients
per quarter.
If you're spending more than $1M/year on marketing and can't prove what's working, let's talk. If we're not the right fit, I'll tell you on the call — and point you to someone who is.
Apply to Work Together →No commitment. No sales pitch. Just a conversation about your numbers.