Experimentation and Testing

Accelerate Growth with Data-Driven Experimentation

At repeatGROWTH, our high-velocity experimentation process helps you unlock hidden conversion potential. Using A/B testing, multivariate testing, and a combination of qualitative and quantitative analysis, we drive measurable improvements across your site.

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Data-Backed Experimentation for Continuous Growth

Experimentation is the foundation of any successful conversion rate optimization (CRO) strategy. At repeatGROWTH, we test, refine, and optimize continuously to ensure that every decision is based on real data and leads to measurable improvements. By combining quantitative methods (like A/B testing and multivariate testing) with qualitative insights (gathered through user behavior studies), we deliver both a broad and deep understanding of how your users engage with your website. This approach allows us to make informed decisions that drive rapid, sustained growth.

Why Experimentation is the Key to CRO Success

Experimentation removes the guesswork from conversion rate optimization. With A/B testing, multivariate testing, and split testing, we systematically determine what works best for your business. Through this data-driven approach, we measure the impact of each change and fine-tune your website for maximum performance. But numbers alone don’t tell the whole story—this is why we pair our testing with qualitative insights to understand why users behave the way they do. The result is a comprehensive optimization strategy that ensures every change is backed by both data and user feedback.

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Our Experimentation Services

Our experimentation services are designed to find and implement the changes that drive the greatest impact:

A/B Testing

We test different variations of individual elements—like headlines, buttons, and layouts—against each other to determine which version delivers the best results. This ensures that every decision is based on proven performance, not assumptions.

Multivariate Testing

For more complex scenarios, we use multivariate testing to evaluate how combinations of different elements affect overall user behavior. This allows us to understand how multiple changes interact and identify the most effective combinations for increasing conversions.

Split Testing

When bigger changes are needed, we run split tests that compare entirely different versions of a page or feature. This is ideal for testing larger redesigns or structural changes and determining which version performs better in terms of user engagement and conversions.

Iterative Testing

By implementing rapid, iterative tests, we can continuously refine the user experience. This fast-paced approach allows us to test and optimize smaller elements quickly, ensuring ongoing improvement without long delays between changes.

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How Our Experimentation Drives Results

Our process combines both quantitative data from testing and qualitative insights from user feedback, allowing us to make data-backed decisions that deliver measurable growth:

1

Identify Key Areas for Testing

We start by analyzing user behavior and identifying conversion bottlenecks to find the most impactful areas for testing.

2

Develop Hypotheses

Using both data analysis and user feedback, we generate hypotheses to improve performance. These hypotheses focus on solving specific conversion challenges.

3

Run Experiments

We implement A/B, multivariate, or split tests based on the hypotheses, ensuring that each test is designed to generate measurable results. As the tests run, we closely monitor the performance.

4

Analyze & Implement

Once testing is complete, we analyze the results and implement the winning variations. This step ensures that successful changes are seamlessly integrated into your website.

5

Optimize for Long-Term Results

We go beyond short-term wins. After implementing winning tests, we use ongoing analysis and Pre-Post Testing to monitor the long-term impact, ensuring that your site continues to improve and deliver higher conversions over time.

Proven Results from Experimentation

Our experimentation process has delivered significant results for our clients:

25% Lead Conversion Rate Increase:

A Legal Lead-Gen client saw a 25% lift in conversions after we optimized their checkout flow using A/B testing and user feedback.

13% Uplift in Sales:

For an eCommerce client, we achieved a 13% increase in sales through multivariate testing that optimized product page layouts and calls-to-action.

We analyzes website analytics and tests user experience to create a customized conversion rate strategy that optimizes your website’s revenue potential.

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Conversion Rate Optimization User Experience Optimization Comprehensive Website Audit Experimentation and Testing Data-Driven Research

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