Conversion optimization & A/B testing

Before we begin conversion optimization, we make sure your data is complete, accurate, and reliable. As part of the free audit:
→ We verify the proper implementation of analytics tools like Google Analytics
→ We check whether you’re tracking key events (e.g., clicks, forms, transactions)
→ We analyze the tag structure, campaign parameters, and e-commerce events

This ensures that every A/B test or decision to make changes is based on solid data - not random observations. It’s the foundation we start with, helping you avoid costly misinterpretations later on.

Next, we meet with you (online or in person) to fully understand your business, offer, and the challenges you’re facing. Based on that:
→ We define key business goals (e.g., increased sales, more leads, higher LTV)
→ We set KPIs that will measure the success of the tests
→ We discuss conversion paths and user touchpoints (landing pages, cart, forms)

This is the stage where we translate your expectations into the language of data - together with you.

Based on previously collected data, we conduct a full analysis of user behavior using:
→ Heatmaps (clicks, mouse movement, scrolling)
→ Session recordings that show how users interact with your website
→ Form and purchase path analysis (abandonment rates, field difficulty, validation errors)
→ Surveys and usability tests (where possible)

We identify areas where users struggle—where they get lost, give up, or feel frustrated. From these insights, we develop optimization hypotheses

Based on gathered insights, we create specific hypotheses, such as:
→ “Changing the headline on the product page will increase CTR by 10%”
→ “Simplifying the registration form will improve completion rate by 25%”

For each hypothesis, we prepare:
→ A detailed test plan (variant A – control, variant B – experimental)
→ Selection of appropriate metrics (CTR, conversion rate, abandonment)
→ Sample size and test duration calculations to ensure statistically significant results

We implement tests using tools like Convert, VWO, Optimizely, or others—depending on your technological setup. We ensure:
→ Minimal invasiveness (tests don’t disrupt site functionality)
→ Data consistency and synchronization with your analytics
→ Daily monitoring of test progress

After the test concludes, we analyze:
→ The effectiveness of each variant—overall and broken down by device, traffic source, and user segments
→ The statistical significance of the results (is the change truly better, or just random?)
→ Potential side effects (e.g., improvement in one area but decline in another)

This gives you a complete picture and allows you to make informed decisions—not just about what works, but also why it works.

If the test confirms the hypothesis, we assist with implementing the changes in the live environment:
→ We provide guidelines to your IT team
→ We document the impact of the change on business outcomes (conversion rate, sales, leads)
→ We store the test results as a benchmark for future reference

After each test, we prepare a comprehensive report that includes:
→ A step-by-step overview of the experiment
→ Data, results, conclusions, and recommendations
→ Suggestions for further tests and areas for optimization

Conversion optimization is a continuous process.