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A/B testing
A method used to compare two versions of a webpage or app to determine which one performs better. It involves formulating a hypothesis, creating variants, randomly assigning users, measuring performance, and analyzing results to identify changes that can improve key performance metrics. A/B testing is primarily utilized by digital marketers, product managers, and UX designers to optimize user experience and increase conversion rates.
A/B testing was discovered on April 26th 2019 and it currently has a search volume of 49.5K with a growth of +246%.
Growth
- Exploding
- Regular
- Peaked
Speed
- Exponential
- Constant
- Stationary
Seasonality
- High
- Medium
- Low
Volatility
- High
- Average
- Low
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