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Do we want the conversion from the website visitor or bring here contacts to opportunities or the customer to become loyal? You've done qualitative research on your users and the people who know them. Do you have a clear idea of who these people are? You have defined a list of possible solutions and prioritized them based on Potential, Importance and Ease. You've designed and built your first solution, carefully documenting all variations and success criteria. Do you have a group of visitors who will act as a control group, demonstrating what would have happened if no variables had changed.
Is the variable you are changing for your variant group a big and bold enough change to produce a meaningful result? Do you have a scheduled date when you expect to see a statistically significant result? Once these steps are complete, it's time to launch the experiment to web designs and development service validate the solution. Run the experiment as long as necessary to produce a statistically significant result. The more visitors participate in the experiment, the more quickly the results will become meaningful. For this reason (even if it would introduce another variable to consider in the research phase) some recommend forcing traffic volumes by activating paid ads towards the pages under test.
As stated at the beginning, conversion rate optimization is an iterative process. Perhaps the most important part of the solutions you implement is not the results you get but the information you glean from those results. Whether your solution is validated or not, take the time to record what you've learned. More often than not, it will be the unexpected results that light a new avenue that can inform your next conversion rate optimization. Use this acquired information to continue research with users (if necessary) Did the result of your latest experiment reveal any interesting behavior that is worth analyzing further.
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