A/B TESTING
TECHNICAL
IMPLEMENTATION
Proper A/B testing setup that gives you statistically significant results. We implement testing infrastructure, design experiments, and ensure your data is trustworthy — so every decision is backed by evidence.
Accuracy
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Velocity
Accuracy
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Time
Velocity
WHAT WE IMPLEMENT
Testing Platform Setup
End-to-end configuration of your A/B testing platform — whether it's Optimizely, VWO, or a custom solution. We handle SDK installation, snippet deployment, and integration with your analytics stack.
Event Tracking
Precise event tracking setup that captures every conversion, click, and interaction that matters. We define tracking plans, implement custom events, and validate data accuracy before any test goes live.
Sample Size Calculator
Pre-test sample size calculation based on your baseline conversion rate, minimum detectable effect, and desired statistical power. We ensure your tests run long enough to produce trustworthy results.
Segmentation Rules
Define audience segments for targeted testing — by traffic source, device type, user behavior, or custom attributes. Segmented tests reveal insights that aggregate data obscures.
Flicker-free Implementation
Eliminate the ugly flash of original content before variations load. We implement flicker-free solutions using synchronous snippets, server-side rendering, or hybrid approaches that preserve your user experience.
Multi-variate Support
Go beyond simple A/B tests with multivariate experiments that test multiple elements simultaneously. We design full-factorial or fractional factorial tests to find the optimal combination of changes.
PROCESS
HOW WE DELIVER
A four-phase implementation methodology that takes you from zero testing infrastructure to a fully operational experimentation engine.
SETUP
We configure your testing platform from scratch — installing SDKs, deploying snippets, connecting analytics, and setting up event tracking. This phase includes environment validation, QA testing, and team training so you can self-serve after handoff.
DESIGN
We work with your team to design your first experiments — defining hypotheses, choosing primary and secondary metrics, calculating sample sizes, and building test variants. Every experiment follows a standardized brief template for consistency and rigor.
RUN
Experiments go live with monitoring dashboards in place. We track data quality, watch for sample ratio mismatches, and ensure tests run to their pre-calculated durations. No early stopping, no peeking — just clean, trustworthy data collection.
ANALYZE
Post-experiment analysis with full statistical validation. We break down results by segment, check for interaction effects, calculate confidence intervals, and deliver a comprehensive report with clear recommendations for implementation and next tests.
COMMON QUESTIONS
We support all major platforms including Optimizely, VWO, Google Optimize, AB Tasty, Kameleoon, and Convert.com. We can also implement custom server-side testing solutions using your own infrastructure for maximum control and performance.
For enterprises with specific compliance or performance requirements, we build bespoke testing engines that integrate directly with your CDN or edge computing layer — enabling zero-latency experiments at scale.
Platform AgnosticCustom SolutionsStandard platform setup takes 48 hours from kickoff. This includes snippet deployment, event tracking configuration, QA validation, and team onboarding. Your first experiment can be live within the first week.
More complex implementations — such as server-side testing, custom integrations, or multi-platform setups — typically take 1-2 weeks. We always provide a detailed timeline before starting work.
48hr SetupFirst Test in Week 1We follow a rigorous testing protocol: pre-calculated sample sizes, fixed test durations, no optional stopping, sample ratio mismatch checks, and proper statistical methods (Bayesian or frequentist based on your needs).
We also implement QA checklists before every test goes live, monitor data quality during the test, and apply multiple comparison corrections when testing multiple variants or metrics. This ensures 99.9% accuracy in our results.
Statistical Rigor99.9% AccuracyClient-side testing modifies the page after it loads in the browser using JavaScript. It's faster to set up but can cause flicker and performance issues. Server-side testing renders different versions on the server before sending them to the browser — no flicker, better performance, but more complex to implement.
We recommend server-side testing for high-traffic sites, checkout flows, and SEO-sensitive pages. Client-side works well for content experiments, CTA tests, and lower-traffic pages where speed-to-test matters more than perfection.
Client-sideServer-sideAbsolutely. Our implementation includes full documentation, team training sessions, and a testing playbook that covers hypothesis formulation, experiment design, QA checklists, and analysis guidelines.
Many clients choose to run their own tests after setup while retaining us for periodic reviews, complex experiments, and statistical analysis support. We also offer ongoing retainer packages for continuous experimentation management.
Full TrainingSelf-Serve ReadyIMPLEMENT
A/B TESTING
Get a professional A/B testing setup in 48 hours. Proper infrastructure, scientific methodology, and trustworthy results. From $2,500 one-time setup — no recurring platform fees from us.