Performance in the digital landscape is becoming increasingly nuanced. Traffic is ample, but conversions aren't increasing. Designs are sophisticated, but actions aren't being taken. Within organizations, similar questions recur: "Is the button color the problem?", "Shouldn't the copy be changed?", "Are users simply not understanding?" The problem isn't the questions, but the method of verifying the answers. Iropke's A/B testing consulting creates a structure that draws conclusions from experiments and data, not opinions and experience. This isn't simply an optimization technique; it's about transforming the organization's decision-making process.

Market needs

Most companies already have websites and digital channels. The problem isn't "nothing" but "a lack of confidence." While improvements are being made, no one can definitively say whether they're truly effective or whether other choices could have yielded better results. Key metrics like conversion rate, bounce rate, and dwell time are particularly sensitive to even the slightest change, so relying on intuition for improvements risks worsening performance. The market now demands a "system that continuously verifies and improves" rather than a "one-time, well-made design." A/B testing is no longer an option; it's becoming a fundamental infrastructure for growing organizations.

Direction for handling issues that need to be resolved

Many A/B tests fail for obvious reasons: unclear test objectives, poorly defined hypotheses, or lack of criteria for interpreting results. Furthermore, experimental results often fail to translate into actual decision-making and end up in mere reports. A beneficial approach is to treat A/B testing as a process, not an "experiment." First, a clear hypothesis linked to business objectives is established, and metrics and experimental conditions are designed to verify this hypothesis. Next, the test duration and traffic are considered to ensure sufficient data accumulation. Results are interpreted from a perspective of root cause analysis of behavioral changes, not simply wins or losses. This process naturally leads to further improvements.

Iropke's business direction and differentiating factors

Iropke's A/B testing consulting begins with the question "why change?" rather than "what to change." We analyze the entire user journey to identify bottlenecks and design experiments around those points. Testing encompasses not only individual elements like buttons, text, and images, but also page structure, information priority, and message context. Furthermore, Iropke compiles test results into a language usable within the organization. Beyond simply reporting a percentage increase in conversion rates, we present how user behaviors have changed and how these changes can be leveraged for future service improvements or marketing strategies. This ensures that A/B testing is not a one-time project, but rather an asset that builds a foundation for organizational decision-making.

Reviews from customers who used this service

• D-Commerce Company Performance Marketing Team: "We used to make decisions based on things like 'This looks better' or executive feedback. Now, we can make decisions based on user feedback."
• E-Platform Service Planning Team: "With test results serving as the starting point for future planning, the planning cycle itself has become much more robust."
• F Manufacturing Company's Digital Strategy Team: "When we revamped our website, we focused on creating a unique and innovative design, but now we're experiencing for the first time that we need to work differently."