A/B Testing — Optimize Every Click for Better Conversions

We help B2B companies test design, messaging, and UX variations to identify what truly drives engagement and conversions.

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Test smarter. Convert faster
Make every choice count

Guessing is expensive. Testing is profitable

Many B2B teams make design and marketing decisions based on assumptions, not evidence. Without structured testing, you risk missing growth opportunities and wasting resources on ineffective solutions. A/B Testing reveals what works best through measurable data and real user behavior.

Low conversion rates despite redesigns

Teams invest in design changes without validating their impact, leading to uncertain results and wasted budget.

Unclear data on user behavior

Without testing, it’s hard to know which changes improve performance and which don’t.

Difficulty aligning stakeholders

A/B Testing provides objective results that remove opinions from decision-making and build alignment around data.

A/B Testing is not about guessing — it’s about learning. By continuously testing, you gain insights that refine your customer experience, increase conversions, and drive long-term business growth.

Our aproach
Make every choice count

Data-driven experiments that fuel growth

Our A/B Testing process combines research, hypothesis creation, testing, and analysis to help your team make informed decisions and continuously improve conversion performance.

Research & Goal Definition

Identify problem areas and set measurable goals for each experiment.

01

Hypothesis Creation

Develop data-backed test hypotheses based on user behavior and analytics.

02

Variant Design & Setup

Create and configure design or copy variations for A/B or multivariate testing.

03

Experiment Launch

Run controlled tests with target audiences to gather statistically valid data.

04

Data Analysis & Insights

Review results, identify winning variants, and extract behavioral insights.

05

Implementation & Continuous Testing

Apply findings, iterate, and set up new experiments to maintain improvement.

06
Deliverables
Make every choice count

What you’ll get from our A/B Testing service

Each deliverable helps your team make data-driven decisions that improve performance, user experience, and ROI.

A/B Testing Strategy Document

Comprehensive document outlining goals, hypotheses, KPIs, and a detailed testing roadmap to align teams. It provides clear expectations, prioritizes experiments, and ensures strategic focus.

Variant Design Files

Professionally designed test variations including copy, layout, and interaction elements. Each variation is tailored to test specific hypotheses effectively.

Test Configuration Setup

Full technical setup of experiments across platforms like Google Optimize or Webflow integrations. Ensures accurate tracking and seamless execution of all tests.

Performance Dashboard

Real-time reporting dashboard to track test progress, conversions, and user behavior. Offers insights at a glance for quick decision-making.

Results & Insights Report

Detailed summary of test outcomes, insights, and actionable recommendations. Helps teams scale successful experiments and refine strategies.

Optimization Roadmap

A long-term plan for ongoing testing cycles, helping teams maintain momentum, implement learnings, and continuously enhance conversion performance.

real business results
Make every choice count

Data that drives measurable results

Our A/B Testing service helps you refine user experience, boost conversions, and validate design decisions through actionable data.

Conversion Rate Growth

32

+32% improvement in form submissions and lead generation after testing.

Reduced Bounce Rate

28

+28% higher engagement from optimized content and layout variations.

Increased ROI

40

+40% efficiency gain through data-driven decision-making.

“The best landing page company - we use them and recommend them :)”
Przemysław Kalinowski
Chief Growth Officer, Olimp Marketplace
Talk to our experts

Stop guessing. Start testing

Get an A/B Testing program tailored to your business goals. Learn what works best, improve conversions, and make every design decision count.

Wojciech Smoła
CEO & Co-Founder
wojciech@flipico.agency
+48 571 799 926
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What is A/B testing?

A/B testing compares two or more variations of a page or element to see which performs better based on user interactions.

How long should a test run?

Typically 2–4 weeks, depending on traffic and statistical significance requirements.

What can we test?

Headlines, layouts, CTAs, colors, copy, or entire page designs.

How do you ensure test accuracy?

We use statistical validation, traffic segmentation, and proper experiment setup to ensure reliable data.

Do you handle test setup and tracking?

Yes, we configure everything, from tools to analytics integration.

What if a test doesn’t improve results?

Every test provides learning. Even neutral or negative outcomes refine strategy and reduce future risk.

Сan you integrate A/B testing with Webflow?

Yes, we seamlessly integrate testing tools into Webflow projects.

How soon can we see results?

Most clients observe measurable performance improvements within the first 30 days.