Convert Experiences
Convert's full-stack experimentation is supported by the server layer, so your pricing logic, recommendation algorithms, and feature rollouts are tested where decisions actually happen. Server-rendered variations avoid client-side replacement flicker, your application supplies the visitor ID (which remains persistent), and reporting is unsampled. Marketers get cleaner results. Developers get 6 FullStack SDKs and the MCP server for fast test deployment across channels, with their own AI agents.
Trusted infrastructure
WHO USES CONVERT EXPERIENCES FULL STACK (SERVER-SIDE)?
Whether you're testing back-end pricing models, shipping code with feature flags, or delivering server-side programs for clients, Convert has the infrastructure to match.
Client-side testing has a ceiling. When your most consequential experiments live in back-end pricing rules, recommendation algorithms, or cart logic, the browser is the wrong place to run them. Convert's FullStack SDKs - JavaScript (Node.js and compatible edge runtimes), PHP, Python, Ruby, Android, and iOS - give engineering teams the same server-side bucketing and controls needed to test pricing logic, recommendations, APIs, and checkout behavior within the application stack.
Activation rate tests rarely live in the UI. The decisions that move trial-to-paid conversion, such as feature sequencing, paywall logic, and API response behavior, happen in your application layer. Convert's server-side testing lets SaaS teams run statistically rigorous experiments directly in code, with Frequentist, Bayesian, and Sequential testing models available.
Running server-side experimentation for multiple clients means managing the SDK, test logic, and reporting across entirely different tech stacks without letting one client's configuration bleed into another. Convert's multi-project architecture gives CRO agencies centralized billing, isolated client environments, and an API that can be integrated into CI/CD workflows for supported experiment-management and application-delivery use cases.
| Experience Name | Conv. / Vis. | Environment | |
| pricing-logic-test | 0 / 0 | Production | |
| checkout-step-order | 0 / 0 | Production | |
| recommendation-sort | 0 / 0 | Production |
| Feature Name | ID | Key | Status |
| New onboarding flow | 100312 | new-onboarding-flow | active |
| Paywall logic | 100287 | paywall-logic | active |
| Checkout rollout | 10037 | checkout-rollout | active |
Why Convert
Transparent pricing, data quality that reflects reality, and a developer workflow that doesn't fight your existing pipeline.
On Optimizely, full-stack testing is a separate product. On VWO, it requires an enterprise contract. With Convert, Full Stack experimentation and Feature Flags are available on Convert Pro and Enterprise, with Pro starting at $420 per month and including sequential testing and both Frequentist and Bayesian stats engines. No separate product purchase required.
| Attribute | Convert Pro | Optimizely Full Stack | VWO Testing |
|---|---|---|---|
| Full-Stack Testing | Included | Separate product | Enterprise |
| Sequential Testing | Included | Enterprise | Enterprise |
| Feature Flags | Included | Enterprise | Enterprise |
| Bayesian + Frequentist Stats | Included | Enterprise | Enterprise |
Convert Pro from $420/month
Convert Experiences' full-stack set-up avoids the pitfalls of client-side testing and less thoughtfully engineered server-side deployments:
Convert API v2 and the JavaScript SDK let your engineering team manage experiments and pull reporting data programmatically, so server-side/backend tests can be built, launched, and monitored right from your CI/CD pipeline instead of a separate UI.
Developer-first
Convert API v2 · MCP server · JavaScript SDK · quickstart
Platform capabilities
Convert gives engineering, product, and growth teams the infrastructure to run serious server-side experimentation without feature gates or enterprise paywalls where they don't belong.
Full-Stack / Server-Side Testing Pro & Enterprise
Run experiments on pricing logic, recommendation algorithms, API responses, onboarding flows, and backend services. Variants are determined server-side before content reaches the device.
Product and engineering teams gain the freedom to test any layer of the stack. Client-side tools can only touch look and feel; server-side unlocks the logic underneath.
Feature Flags Pro & Enterprise
Toggle specific features on or off for defined audience segments without a new deployment. Supports gradual rollouts and production testing with isolated exposure.
After a feature has been integrated behind a Convert flag, authorized teams can disable it or adjust its rollout without another application deployment.
JS Conditions Pro & Enterprise
Write real JavaScript targeting conditions: fire experiments based on any custom logic, data attribute, cookie value, or API response your server exposes.
For server-side targeting, pass supported visitor and location properties into the SDK context, then configure audiences and locations to evaluate those values.
DMP / Audience Targeting All plans
Segment users using first-party data and custom attributes: account tier, pipeline value, behavioral history, or any attribute your backend surfaces. No reliance on browser-side signals.
Target with the precision your CRM and data warehouse already enable. Move beyond "returning visitor" to "enterprise accounts in trial" or "users who hit the paywall twice."
Sequential Testing Pro & Enterprise
Monitor live experiment results at any point without inflating false positive rates. No need to pre-commit to a fixed sample size before peeking at the data.
Engineering and product teams make faster, safer decisions on backend changes, especially during high-stakes releases, without waiting for an arbitrary end date.
Multi-Arm Bandits Pro & Enterprise
Automatically shift traffic toward the best-performing server-side variant in real time. Ideal for time-sensitive experiments like pricing tests, promotional logic, or algorithm variants.
Stop leaving revenue on a static 50/50 split during peak periods. The platform adapts traffic allocation dynamically so your best variant earns more exposure while the test runs.
Frequentist + Bayesian Statistics All plans
Choose the statistical model that fits your experiment design. Frequentist for controlled, fixed-horizon tests; Bayesian for continuous monitoring and probabilistic decision-making.
Data and analytics teams aren't forced into a single framework. Match the stats model to the experiment type, especially important when testing backend logic with variable traffic patterns.
No-Flicker Loading All plans
When the assigned content is generated before the response is sent, server-rendered variations can avoid the client-side replacement flicker that affects many client-side implementations.
Server-rendered variations can avoid client-side replacement flicker, so when the variation is delivered before the response is rendered there's no client-side content swap. Hybrid apps may still render some changes client-side.
Unsampled Reporting All plans
Convert reports eligible exposure and conversion events sent through the implemented tracking flow without report sampling. No statistical approximations applied to raw results.
When testing backend logic that affects revenue, attribution, or product behavior, sampled data is a liability. Full fidelity reporting means decisions are made on the complete picture.
Use cases
From pricing logic to regulated-industry compliance, here's what server-side experimentation looks like in production.
Validate dynamic versus flat pricing models at the server layer before committing to a change. Because the variation is generated before the response is sent, revenue-critical logic stays out of the browser and avoids client-side replacement flicker, ad blockers, and client-side manipulation.
Release new functionality to 10%, 25%, or 100% of users via Feature Flags, available on Convert Pro and Enterprise, giving engineering teams a controlled rollout path without a separate flagging tool.
Server-side decisioning avoids dependence on client-side script execution affected by ITP, making Convert a strong fit for healthcare, insurance, and mental health platforms where HIPAA and GDPR accuracy matter. Consistent bucketing still requires a stable visitor or user identifier your application can lawfully persist and pass to the SDK.
Pit profit-margin sorting against click-through sorting directly at the API response layer, so SaaS and ecommerce teams measure the revenue impact of algorithmic changes without touching a line of front-end code.
From the Convert blog
What engineering and growth teams ask before switching their server-side testing to Convert.
Can I use Convert Experiences for true server-side A/B testing, or is it mainly a client-side testing tool?
Convert Experiences supports true server-side A/B testing through its full-stack experimentation capabilities and SDK-based setup. Your team can run experiments where the decision happens in your application code, API layer, or backend logic instead of in the browser. This is the right setup when you need to test pricing logic, recommendation algorithms, feature rollouts, or API responses.
How does Convert Experiences handle implementation for server-side experiments if my team already has an existing release workflow?
Convert Experiences is built to fit into developer-led release workflows. You can manage experiments through the JavaScript SDK, feature flags, and Convert API v2, which supports documented experiment-management and reporting operations and can be integrated into CI/CD workflows for supported use cases. Review the current API reference to confirm the endpoints your workflow needs. This lets your team keep experiment logic close to the codebase and deployment process you already use.
Will server-side testing with Convert Experiences help me avoid flicker and browser-side rendering issues?
Server-rendered variations can avoid client-side replacement flicker when the assigned content is generated before the response is sent. Because the decision is evaluated before the experience is rendered, the application can deliver the assigned variation without a client-side content swap, so users don’t see the original version flash first. Hybrid apps may still render some changes client-side. This matters most for pricing, checkout, and regulated use cases where visual inconsistency affects trust or data quality.
Can I use Convert Experiences to test backend logic like pricing rules, recommendation algorithms, or API responses?
Yes. Convert Experiences is designed for server-side experiments that go beyond page-level changes. Your team can test dynamic pricing models, recommendation logic, onboarding sequences in apps, and API payload behavior where no browser-based visual editor applies. If what you want to test lives in code or infrastructure, Convert Experiences supports that use case.
Can I roll out server-side experiments gradually, like a feature flag, instead of exposing 100% of users at once?
Yes. Convert Experiences supports feature-flag style rollouts as part of its full-stack testing capabilities. Your team can release a change to a defined percentage of users first, then expand from 10% to 25% to 100% as confidence grows. This reduces release risk while still measuring user impact and conversion outcomes.
How does Convert Experiences fit with my existing analytics, data warehouse, or CRM stack for server-side testing?
Convert Experiences integrates with GA4, Amplitude, Mixpanel, Segment, mParticle, HubSpot, and Salesforce, among others. That means you can run server-side tests in Convert Experiences while sending experiment and conversion data into the systems your team already uses for analysis. Convert Experiences is an experimentation platform, not a CDP, so it is designed to work with your existing stack rather than replace it.
Can my developers and marketers both work in Convert Experiences without creating workflow bottlenecks on server-side tests?
Yes. Developers own code-based experiment logic, while marketers and CRO teams still access reporting, goals, and experiment management. Server-side tests typically require developer implementation, but Convert Experiences does not force the rest of the team out of the process. Teams can review results, manage projects, and coordinate experiments without a separate enterprise services layer.
What happens if I need support during a live server-side experiment or rollout?
Convert’s average support response time is under 3 minutes, handled by humans rather than a chatbot workflow. That is particularly important for server-side testing, where issues can involve implementation details, rollout behavior, or data validation. If support responsiveness is part of your vendor evaluation, Convert Experiences is built to be operationally dependable.
Is Convert Experiences a good fit for server-side testing in privacy-sensitive or regulated environments?
Yes. Convert Experiences combines code-level control with strict compliance standards. The platform is compliant with GDPR, CCPA, HIPAA, ISO 27001:2022, and SOC 2 Type 2, uses EU-based servers, and has had zero data breaches to date. Convert Experiences also does not collect PII in standard experimentation workflows and supports consent-aware deployment options.
