First Real A/B Test
You've never run a proper test. I set up the tool, run one high-impact hypothesis, and prove the model.
Every test I ship starts with a sample-size plan, gets a proper readout, and — if it wins — goes to production. No orphaned wins sitting in a tool nobody logs into.
A disciplined experimentation program from a single specialist. Fixed price, no ticket queues.
Most in-house testing programs die within a year because the discipline isn't there. Here's what changes when it is.
Six pieces that together turn ad-hoc 'let's try this' into a repeatable program that compounds wins.
Every hypothesis scored on Impact, Confidence, and Ease — so you always ship the test with the best expected return next.
Every test gets a pre-launch calculation: how much traffic, how long, and what minimum detectable effect makes it worth running.
Copy, design, and code for each variant — shipped as no-code where possible, custom code where needed.
Every variant tested on real mobile and desktop devices before launch — no half-launched tests skewing your data.
A plain-English readout with confidence levels, segment breakdowns, and a clear recommendation on ship / kill / iterate.
Winners engineered out of the testing tool and into production properly — the win compounds, it doesn't disappear.
From your first test to a full always-on program, there's a shape that fits your traffic level and team.
You've never run a proper test. I set up the tool, run one high-impact hypothesis, and prove the model.
Three coordinated tests around a pricing change, redesign, or major launch — high-signal decisions fast.
A continuously running roadmap for sites with the traffic to run 3–8 concurrent experiments a month.
You have VWO or Optimizely and nobody's using it. I audit past tests, rebuild the backlog, and restart the discipline.
PostHog, Statsig, or GrowthBook feature-flag experiments for logged-in product changes and pricing tests.
Isolate mobile as its own testing surface — where the traffic is, and where the biggest wins usually hide.
Careful, segment-aware pricing experiments with proper guardrails — the highest-impact test category most teams avoid.
Turn a conversion audit's top hypotheses into a shipped testing plan — the second half of what an audit alone can't finish.
Testing tools chosen to fit your stack — no forcing the wrong platform because it's what I always use.
Full-service setup and management of the two most mature client-side testing platforms — best for high-traffic marketing sites.
Native experiments powered by GA4 audiences — good for teams already deep in the Google stack, no extra tool cost.
Server-side and product-analytics experiments for SaaS and app-style logged-in surfaces — one tool for flags, events, and results.
Enterprise-grade feature flagging and experimentation — best for engineering-heavy teams shipping deep product experiments.
Lightweight custom experimentation in Next.js or Node — for teams where every millisecond of client-side script matters.
Open-source, self-hosted experimentation for teams with data or privacy constraints that rule out SaaS testing tools.
Aggregate stats from active client programs.
The stack I ship on — configured properly, wired into your analytics, not just installed and left.
Feedback from operators running real programs.
"Numbers moved in week one. What used to feel like guessing finally felt like a system."
"Fixed price, plain-English readouts, and I own every account and dashboard. Best CRO experience I've had."
"Every recommendation came with data behind it. No fluff, no vanity metrics."
"One specialist, not a five-person 'squad' — and the work shipped twice as fast."
"I stopped paying for tools nobody used. Now they run every week and we can show the impact."
Eight ownership-first deliverables — every experiment archived and portable.
A written scope agreed up front — no hourly billing, no surprise change orders halfway through.
Analytics, testing, and heatmap accounts stay in your name, with a clean export of every dataset used.
A living backlog of tests, hypotheses, sample-size plans, and readouts — every experiment archived with the raw data.
A recorded walkthrough of every deliverable plus written docs so anyone on your team can pick it up later.
Thirty days of bug fixes, tweaks, and questions included — no ticket queue, direct message to me.
Everything ships on tools you own or can move away from — no proprietary black boxes, no forced retainers.
Every heatmap, session recording, and test log delivered as an export you keep long after the engagement ends.
A one-page summary you can hand to a CEO, board, or investor — plain-English impact, no dashboards required.
A 30-minute call to understand your funnel, revenue, and where the friction lives — before quoting anything.
I map your data, tools, and pages, then send back a fixed-price scope with a clear timeline and deliverables list.
Weekly Loom updates, shared docs, and a live staging environment — no black-box progress, ever.
Full walkthrough, exported accounts, and 30 days of post-delivery support included in every engagement.
Not a generalist marketer. My entire practice is experimentation — sample-size planning, readouts, and shipping wins.
No underpowered tests, no false wins. Every launch has a written plan before it goes live.
Every winning variant is engineered into your actual product or site — the win compounds instead of vanishing.
No stats jargon. Every readout is a one-page 'here's what happened, here's what to do next' document.
You message me directly. No account managers, no juniors handling your tests.
Sprints and programs are fixed-price and fixed-scope — no hourly billing surprises.
Three levels that scale with your traffic and ambition.
Not sure which fits? Book a 20-minute call. I'll recommend the smallest scope that actually moves your number.
Everything in this build connects to the wider website, conversion, and AI stack I ship for clients.
The parent service — CRO across every surface of your funnel.
Audits generate the hypotheses — this is where you validate them.
Test the highest-revenue-swing steps of any store funnel.
Copy variants ready for A/B testing on day one.
One short email each week — proven tactics, AI workflows, and case-study breakdowns you can apply the same day.