A/B testing implementation that turns hypotheses into reliable experiments
Codalent helps growth, marketing and product teams build, instrument, QA and launch website or product experiments—then productionise approved changes in maintainable code.
No fixed uplift or timeline is assumed before traffic, complexity and data quality are assessed.
Teams supported by Codalent
Everything needed to move experiments from backlog to production
We can support an existing CRO roadmap or establish a repeatable implementation workflow with your team.
Readiness assessment
We review your site, analytics, consent setup, testing tools and available traffic. You learn what can be tested reliably before investing in a build.
Experiment specifications
Each test receives a clear hypothesis, audience, variants, primary metric, guardrails and acceptance criteria. Stakeholders align before development starts.
Variant development
We build responsive variants across your website, CMS or application, including forms and dynamic experiences. Your ideas are not limited to visual-editor changes.
Configuration and QA
Codalent configures targeting, allocation, exclusions, launch checks and rollback ownership. Tests reach users with fewer avoidable delivery defects.
Launch monitoring
We monitor variant delivery, exposure distribution, event collection and experience defects. Your team can distinguish implementation problems from experiment outcomes.
Permanent rollout
Approved changes are rebuilt or merged into maintainable production code, with temporary rules removed. Valuable improvements do not remain trapped in the testing platform.
Choose the testing approach around the experience—not the tool
We assess architecture, risk, measurement and team workflows before recommending client-side testing, code-based experiments or server-side feature flags.
Client-side website testing
Experiment platforms can suit lighter page, message and layout changes. We review snippet loading, responsive rendering, SPA routes, caching and page flicker because delivery choices affect performance and analytics.
Code-based and server-side testing
Feature flags and application code are often better for authenticated, dynamic or API-dependent experiences. Stable assignment and controlled releases improve consistency, but require deeper engineering integration.
Measurement and data quality
We define eligibility, exposure and conversion events using consistent identifiers, then validate the path into tools such as GA4, Google Tag Manager or your analytics stack. GA4 can support analysis but does not run experiments itself.
Governance and maintainability
Consent states, Content Security Policy, accessibility, overlapping tests and rollback plans are checked before launch. Client-owned configuration, documentation and production cleanup make ongoing marketing operations easier to manage.
Remove the technical bottlenecks behind your testing backlog
Experiments often stall because internal engineers have competing priorities, measurement ownership is unclear, or simple tools cannot handle complex experiences. Codalent provides one accountable implementation team that works with your strategist, analyst, product team or existing CRO agency.
An experimentation team integrated with your own
The subscription provides coordinated access to the technical capabilities you need without managing disconnected freelancers or building a full internal team.
Subscribe and assemble the team
Codalent assigns the appropriate developers, technical project manager and marketing-technology expertise. You gain flexible capacity with clear human ownership.
Prioritise work in ClickUp
We organise assessments, experiment briefs, builds, QA and rollouts in a shared ClickUp board. Codalent AI can support research, planning and documentation while specialists review decisions.
Collaborate through Slack and weekly calls
A dedicated Slack channel handles daily communication, while weekly cadence calls resolve priorities and dependencies. Your team receives direct access and clear project visibility.
Deliver, review and improve
We release prioritised work, review implementation health and adjust the backlog as requirements change. The model supports ongoing testing, maintenance and production improvements.
Turn your experiment backlog into a reliable delivery workflow
Tell us about your current platform, testing ideas and technical constraints. We will discuss the implementation support your team needs.
A/B testing implementation FAQs
What is included in A/B testing implementation services?
Scope can include technical discovery, platform setup, experiment specifications, variant development, targeting, measurement, QA, monitoring and production rollout. We agree responsibilities with your team upfront, including who owns hypotheses, design, analysis and final decisions.
Can Codalent work with our existing CRO agency or internal strategist?
Yes. Codalent can focus on technical execution while your strategist or agency owns research and prioritisation. We translate approved briefs into implementation tickets, validate analytics, manage QA and provide documented handoffs without replacing the existing strategy function.
Do you use client-side, server-side or feature-flag testing?
The approach depends on your architecture and test risk. Client-side tools may suit lighter website changes. Server-side or feature-flag approaches are often more appropriate for logged-in, dynamic, personalised or API-dependent experiences that need stable assignment and controlled releases.
Can you connect experiments to GA4, GTM or our analytics stack?
Yes. We can define and validate exposure, conversion and guardrail events, then map them to GA4, Google Tag Manager, product analytics or another reporting destination. GA4 supports analysis of integrated experiment data but requires a separate experimentation platform to run tests.
How do you handle performance, consent and security?
We assess snippet loading, page rendering, consent states, Content Security Policy, existing tags and rollback requirements before launch. The exact controls depend on your platform and policies, so performance, privacy and security claims are validated against the real implementation.
What if our website does not have enough traffic?
We assess feasibility before recommending a test. If traffic or the expected effect makes a defensible result unlikely, we may suggest a higher-impact page, different success metric, sequential approach, qualitative research or direct implementation rather than overselling test velocity.
How are tasks prioritised within the subscription?
Work is maintained in a shared ClickUp board and reviewed through Slack and weekly cadence calls. Your team and Codalent can reprioritise experiments, tracking fixes, platform work and production rollouts as campaign needs, dependencies or new evidence change.
Who owns the completed work and experiment setup?
Client-owned accounts, source-code handoff, documented configuration and a test archive can be included in the engagement. We aim to leave maintainable production code and clear implementation notes rather than making your team dependent on temporary experiment rules.
Turn your experiment backlog into a reliable delivery workflow
Tell us about your current platform, testing ideas and technical constraints. We will discuss the implementation support your team needs.
No fixed uplift or timeline is assumed before traffic, complexity and data quality are assessed.