Split testing can help you optimize your current design until you reach a local maximum, but it can’t tell you how much you can accomplish with a different approach
mykhaylovadianahas quotedlast year
You always need to answer “Why?” before asking “How?”
mykhaylovadianahas quotedlast year
If you focus on optimizing what you have rather than also considering larger innovations, who knows what vastly greater heights you might miss (Fig
mykhaylovadianahas quotedlast year
The standard is ninety-five percent, meaning that there is a ninety-five percent chance that you can rely on the result.
mykhaylovadianahas quotedlast year
How large a sample do you need? It depends on the sensitivity and how large an improvement you want to see
mykhaylovadianahas quotedlast year
tests will be faster and more reliable with a larger sample size
mykhaylovadianahas quotedlast year
Small, incremental changes will have a more significant influence on a high-traffic site
mykhaylovadianahas quotedlast year
Small, incremental changes will have a more significant influence on a high-traffic site
mykhaylovadianahas quotedlast year
If you are looking at making a small change, you will need a larger sample to make sure that you can be confident in the result.
mykhaylovadianahas quotedlast year
Run the experiment until you’ve reached a ninety-five percent confidence level