What is A/B testing and how do I analyze the results?
A/B testing is a method of comparing two versions of a webpage or app against each other to determine which one performs better. To analyze the results, you can look at metrics like conversion rates, click-through rates, and user engagement.
What metrics should I focus on during the analysis?
Key metrics include conversion rate, bounce rate, average session duration, and user engagement. These will help you understand user behavior.
How long should I run an A/B test?
Typically, you should run an A/B test for at least one to two weeks to gather enough data, but it can vary based on your traffic volume.
What if the results are inconclusive?
If results are inconclusive, consider extending the test duration, increasing sample size, or testing different variations.
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