Code Editors
Contributor
What is a Code Editor in Experimentation?
A code editor is a tool built into most experimentation platforms that lets developers directly write and edit JavaScript, HTML, and CSS to control test behavior, appearance, and logic. It gives you full control over how variations are rendered and how they behave—something visual editors (WYSIWYG) can’t always handle.
Most experienced experimentation teams and CRO agencies rely on code editors for everything from basic styling fixes to complex behavioral changes.
In Convert’s platform, there are multiple dedicated code editors for:
- Variation JS and CSS: For edits that apply to a specific variation
- Global Experience JS and CSS: For edits across all variations in an experience
- Global Project JS: For code that runs across your entire project
Why Code Editors Matter in A/B Testing
Visual editors are useful for quick tests like headline changes or swapping images. But when you need precision, performance, or deeper logic, code editors are the way to go.
Use a code editor when:
- You need to run advanced or logic-based experiments
- You want to test dynamic content or UI behavior
- You’re tracking custom events or manipulating the DOM
- You’re implementing experiments on apps or full stack environments
“To get the most out of your CRO program, you’ll want to use Code Editor.
The WYSIWYG-style visual editor is a good way to get started with relatively simple changes like headline tests. For experiments beyond those basic surface-level adjustments, you need a code editor.
Most experienced teams and reputable CRO agencies will use code editors even for basic tests. It gives you control of the variations in a way that the visual editor doesn’t. Developers can directly manipulate JavaScript, HTML, and CSS elements with code editors, allowing them to run more sophisticated experiments.
A major benefit is code quality and debugging. Using code editors reduces the risk of technical issues, which can degrade user experience and negatively impact test results. Developers can implement proper code reviews and approvals. Convert’s code editor also helps you catch errors early and test variations properly before going live.”
Johann Van Tonder, CEO at AWA digital
Code Editor vs. WYSIWYG
| Feature | WYSIWYG Editor |
Code Editor |
|||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Technical skill needed | Low | Moderate to high (HTML, CSS, JS) | |||||||||||||||
| Control over variations | Limited | Full | |||||||||||||||
| QA and debugging | Visual preview only | Full browser-based debugging | |||||||||||||||
| Experiment complexity | Surface-level UI tests | Advanced experiments, full logic tests | |||||||||||||||
| Reusability | Low | High (code reuse and patterns) |
There is a 3rd option. You can use your favorite coding tool like Cursor or Claude Code with the Convert Experiences MCP server to set up test variants — saving up to 40% of time. Here’s how our partner Optiphoenix does it.
Benefits of Using Code Editors
- Flexibility: Implement logic-driven, event-based, or API-connected experiments
- Better QA: Developers can debug directly and catch issues before going live
- Cleaner implementation: Code editors allow structured, modular code, especially helpful when testing at scale
- Persistent control: CSS changes made via code editors tend to behave more consistently than visual editor changes
- Support for full stack: Backend or app-layer testing often requires SDK-based code implementations
How to Use Code Editors in A/B Testing
- Always run cross-browser and cross-device QA on all variations
- Follow coding design patterns to avoid duplicated or brittle code
- Match variation code structure to the base site’s logic
- Consolidate logic when possible to reduce file size and complexity
- Use code comments to document logic for collaborators
- Avoid “set it and forget it”—validate your custom code with analytics and debug tools
When Code Editors Are Essential
- Full stack experimentation across front-end and back-end layers
- Server-side logic testing, such as product recommendation models
- Experiments inside native mobile or desktop apps
- Personalization based on external data sources or APIs
- Custom event tracking or experiments that require precise behavior changes
- Dynamic overlays, modals, or multi-page experiments
- Advanced targeting logic that visual editors can’t support