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We help businesses create exceptional online shopping experiences through innovative design solutions that drive growth and engagement.
Consistent branding & visual Identity
Seamless user experience (UX)
Conversion rate optimization (CRO) focus
Interactive & engaging UI

benefits of a/b testing

With A/B testing, we help you make smarter decisions that boost user satisfaction, increase conversions, and improve your website's performance.

Empirical Validation of Ideas

A/B testing offers a systematic, empirical approach to validate hypotheses and ideas, eliminating the reliance on gut feelings or assumptions.

Ongoing Business Improvement

This ongoing process helps businesses stay competitive, driving significant gains in key metrics over time.

Solve User Problems

By testing various design options, A/B testing helps pinpoint the best solutions to resolve user pain points and enhance their experience.

Reduces Bounce Rates

A/B testing reduces bounce rates by optimizing design elements to better engage users and encourage longer visits.

Make Low-Risk Modification

By testing changes on a small scale, A/B testing minimizes the risk of modifications, ensuring decisions are backed by data before full implementation.
process of

experimentation

The process starts with understanding your goals and formulating a test hypothesis. From there, we design variations, test them on real users, and analyze the results to make continuous improvements based on data-driven insights.
Hypothesis generation
For bigger change tests UX/UI designs are prepared by Conversion95 team to provide clear instructions to developers.
We start by translating test hypotheses into well-structured design variations that align with your goals. Elements like layouts, visuals, and interactions are thoughtfully crafted to provide a seamless user experience while effectively testing key changes. A detailed handoff ensures smooth implementation, minimizing errors and maximizing insights.
Test setup
Dedicated A/B test developer is in charge of setting up tests both from A/B testing tool visual editor & back end, depending on test complexity.
Before launching an A/B test, we verify tracking, data integration, and test feasibility. A pre-test analysis ensures there’s enough traffic and conversions for meaningful results. The CRO specialist checks analytics, while the A/B test developer sets up the test, ensuring accurate data collection and a smooth experimentation process.
Running the test
While an experiment is running, its performance is monitored in a live mode interactive dashboard.
Once the A/B test is launched, it’s crucial to ensure everything is running smoothly. This phase involves closely monitoring test performance in real-time to detect any technical issues, inconsistencies, or unexpected behavior. Regular checks across different browsers and devices help confirm that both control and variant are being displayed correctly.
Result analysis
Once experiment is finished segmented analysis is performed, In addition to that, results are evaluated using both - Frequentist & Bayesian approaches.
Once the A/B test concludes, data analysts assess the results, while the CRO specialist provides insights on additional findings. This collaboration ensures a comprehensive evaluation of key metrics and user behavior changes. All test details like status, KPIs, hypothesis, setup, results, and conclusions are documented in Notion, creating a clear roadmap for future optimizations.
process of

experimentation

The process starts with understanding your goals and formulating a test hypothesis. From there, we design variations, test them on real users, and analyze the results to make continuous improvements based on data-driven insights.
Hypothesis generation
For bigger change tests UX/UI designs are prepared by Conversion95 team to provide clear instructions to developers.
We start by translating test hypotheses into well-structured design variations that align with your goals. Elements like layouts, visuals, and interactions are thoughtfully crafted to provide a seamless user experience while effectively testing key changes. A detailed handoff ensures smooth implementation, minimizing errors and maximizing insights.
Test setup
Dedicated A/B test developer is in charge of setting up tests both from A/B testing tool visual editor & back end, depending on test complexity.
Before launching an A/B test, we verify tracking, data integration, and test feasibility. A pre-test analysis ensures there’s enough traffic and conversions for meaningful results. The CRO specialist checks analytics, while the A/B test developer sets up the test, ensuring accurate data collection and a smooth experimentation process.
Running the test
While an experiment is running, its performance is monitored in a live mode interactive dashboard.
Once the A/B test is launched, it’s crucial to ensure everything is running smoothly. This phase involves closely monitoring test performance in real-time to detect any technical issues, inconsistencies, or unexpected behavior. Regular checks across different browsers and devices help confirm that both control and variant are being displayed correctly.
Result analysis
Once experiment is finished segmented analysis is performed, In addition to that, results are evaluated using both - Frequentist & Bayesian approaches.
Once the A/B test concludes, data analysts assess the results, while the CRO specialist provides insights on additional findings. This collaboration ensures a comprehensive evaluation of key metrics and user behavior changes. All test details like status, KPIs, hypothesis, setup, results, and conclusions are documented in Notion, creating a clear roadmap for future optimizations.
full team support
Our experienced, diverse team including developers, CRO strategists, designers, analysts, and more works collaboratively to deliver optimal results. With each team member focused on their area of expertise, we ensure a seamless process that drives success without you having to worry about the details.

Tools for A/B testing in Conversion95

We leverage a wide range of advanced tools to streamline the experimentation process, enabling precise testing, personalized user experiences, and data-driven decisions.
a/b testing success stories
We've run tests that significantly improved conversion rates and user engagement, providing valuable insights for future optimizations.
a/b testing success stories
We've run tests that significantly improved conversion rates and user engagement, providing valuable insights for future optimizations.
Hypothesis
“By adding to the product details pages store wide benefits & policies related to shipping, returns and warranty more user would be sure in their purchase therefore more users may add products to the cart.”
Hypothesis
“Substituting the current add-to-cart notification with a slide-out mini-cart would nudge more users to proceed to checkout, and thus cart abandonment rate may decrease.”
Hypothesis
“By disabling the option to remove products from the checkout, less users would proceed to do so, therefore average order value &  revenue might increase.”
Andres Reitsnik, COO, Lead Strategist

the best decisions aren’t guessed - they’re tested

Every change to your website is an opportunity to learn. Our data-driven experimentation process ensures that every tweak, test, and transformation is backed by insights, not assumptions - delivering sustainable growth and real impact.
Andres Reitsnik, COO, Lead Strategist

the best decisions aren’t guessed - they’re tested

Every change to your website is an opportunity to learn. Our data-driven experimentation process ensures that every tweak, test, and transformation is backed by insights, not assumptions - delivering sustainable growth and real impact.
let our work
speak for itself
A/B Testing
Experimentation program to drive data-driven business growth
View case study
let our work
speak for itself
A/B Testing
Experimentation program to drive data-driven business growth
View case study
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