What are the key metrics to consider in A/B testing?
An example of an AI chatbot conversation about A/B testing metrics and their importance.
What are the key metrics to consider in A/B testing?
The key metrics include conversion rate, click-through rate, bounce rate, and statistical significance.
How do I calculate the conversion rate?
The conversion rate is calculated by dividing the number of conversions by the total visitors, then multiplying by 100.
What is statistical significance in A/B testing?
Statistical significance indicates whether the results of your test are likely due to chance or if they reflect a true effect.
Can you explain bounce rate and its impact?
Bounce rate measures the percentage of visitors who leave after viewing only one page. A high bounce rate may indicate that the landing page isn't engaging.
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