Hire an Experienced CRO Developer
You can hire a specialist CRO developer here on a contract basis: remote, available to CRO agencies, independent consultants and in-house ecommerce teams, working in your own experimentation platform account. The work is experiment development, experiment QA and conversion-focused front-end development on Convert, Optimizely, VWO, Adobe Target, Shopify and WordPress.
No headcount decision, no recruitment cycle, and no commitment beyond the first piece of work.
What a CRO developer does
A CRO developer builds experiments and conversion changes, and owns whether the resulting measurement can be trusted. That second half is the whole specialism, and it is what a general web developer is not hired to think about.
Experiment isolation
A variation must change exactly what the hypothesis says it changes, and nothing else. A change that leaks into another template, or into the control, makes the comparison meaningless no matter how good the code is.
Targeting and audience logic
Deciding who is eligible, translating that into the platform’s rules, and then verifying it from a real session rather than trusting the configuration screen.
Flicker prevention
If part of your treatment group sees the control before the variation applies, they have been exposed to both. That is a data-quality defect, not a cosmetic one.
Analytics and goal validation
Confirming the metric fires once, on the intended action, on every arm, before launch rather than after a result looks strange.
Platform constraints
Knowing what each tool can and cannot do, what Shopify permits at checkout on your plan, and where a hypothesis will hit a wall that no amount of code will get through.
Test validity
Sample ratio mismatch, interaction between concurrent experiments, and instrumentation faults that inflate a result. A developer who cannot spot these will ship confident, wrong conclusions.
Responsive and cross-device behaviour
The variation has to be correct on the devices your traffic actually uses, which is mostly not the one it was built on.
Variation consistency
On a client-rendered site the variation must survive re-renders, route changes and going back to a screen it has already touched, without duplicating itself.
Services available
Hire for a single build, a QA pass, or ongoing capacity across any of these.
Supported experimentation platforms
We work in your account, on the platform you already own. Each page below covers that platform’s own APIs, flicker handling and single-page-application behaviour.
Where you have no platform, experiments can be built and deployed through Google Tag Manager with a GA4 measurement plan, covered under A/B test development.
Technical skills
Core front end
- JavaScript (ES2015+), no framework required
- HTML and semantic markup
- CSS, including layout debugging in someone else’s stylesheet
- DOM APIs and MutationObserver
- Selector strategy and resilience
Experimentation platforms
- Convert Experiences
- Optimizely Web Experimentation
- VWO
- Adobe Target (at.js 2.x, Web SDK)
- Custom experiments deployed via Google Tag Manager
Analytics and measurement
- GA4 and the GA4 dataLayer
- Google Tag Manager
- Ecommerce event schemas
- GA4 DebugView and tag validation
- Reconciling platform results against analytics
Ecommerce and CMS
- Shopify and Shopify Plus (Liquid, sections, cart AJAX API)
- WordPress (blocks, themes, WooCommerce)
- Headless and Hydrogen storefronts
- React and other client-rendered front ends
Quality assurance
- Cross-browser and cross-device matrices
- Real-device testing, including iOS Safari
- Network throttling and Core Web Vitals measurement
- Playwright for repeatable regression checks
- Written, itemised QA evidence
CRO developer versus general front-end developer
Both write the same languages. They are hired against different definitions of done, and that difference is where experimentation programmes are won or quietly wasted.
| Dimension | CRO developer | General front-end developer |
|---|---|---|
| Definition of done | The variation is correct AND the result is measurable and valid. | The variation matches the design. |
| Change scope | Isolated to the hypothesis; verified not to affect anything else. | Scoped to the ticket. |
| Rendering timing | Treated as a data-quality concern, because flicker contaminates the sample. | Treated as a polish concern. |
| Measurement | Owns goal and event validation on every arm before launch. | Usually assumes analytics is someone else’s ticket. |
| Reversibility | Must be switchable off immediately, with no deploy and no residue. | Reverted by a release. |
| Selectors | Chosen for durability against content edits and re-renders. | Chosen from the current markup. |
| Platform knowledge | Knows each tool’s activation model, API and restrictions. | Rarely needs to. |
| Statistical awareness | Flags sample ratio mismatch, interaction effects and underpowered tests. | Out of scope. |
None of this makes a front-end developer worse. It makes them the wrong hire for an experimentation programme, in the same way a CRO developer is the wrong hire to build your design system. The longer version is in CRO developer vs front-end developer.
Development and QA workflow
The same sequence on every engagement, so you always know what stage a piece of work is at.
- 1
Intake and technical review
We read the hypothesis and design against the live site and report back what is straightforward, what is risky and what needs a decision first.
- 2
Build
Hand-written variation code against your real DOM, structured so it reverts cleanly and reapplies safely.
- 3
Targeting and instrumentation
Audience and URL rules configured, goals wired, then both verified from the visitor’s side rather than the dashboard.
- 4
Pre-launch QA
The documented pass: functional, visual, responsive, cross-browser, targeting, analytics, console, flicker, isolation and regression.
- 5
Launch and watch
Live-traffic validation at low allocation, a split check, and a re-check after any site deploy during the run.
- 6
Read-out and rollout
Result reconciled against analytics, caveats stated plainly, and the winner implemented permanently so the experiment layer can be removed.
Steps four to six are available on their own, on experiments somebody else built. See CRO and experiment QA, or run the published A/B test QA checklist yourself.
Support for agencies, consultants and ecommerce teams
CRO agencies
Development and QA capacity behind your own programme, delivered under your brand where you want it.
White-label CRO developmentConsultants and in-house teams
A specialist to build what you have specified, without adding headcount or waiting for the product roadmap.
A/B test developmentEcommerce teams
Experiments and conversion work on a live storefront, built by someone who knows what Shopify does on variant change.
Shopify CRO developmentFlexible engagement options
Three shapes, chosen after the scope is understood rather than before.
Dedicated partnership
Reserved monthly capacity for a steady pipeline. Best when experiment volume is predictable.
Flexible hours
Allocated time drawn down as work arrives. Best when volume is not predictable, which, for most agencies, it is not.
Project engagement
A defined scope with agreed deliverables and a timeline, owned end to end.
All three are described in full under engagement models. We do not publish rates on the site, because a rate quoted without scope is a number neither of us can rely on. Tell us the work and you get a real quote.
Frequently asked questions
Before you hire anyone
Hire a CRO Developer
Tell us what you need built or checked. You will get a real answer about scope, risk and timing, not a capability deck.