The secret to scaling customer growth in a startup is running as many A/B tests as possible. A/B testing, as it’s commonly referred to, involves testing a set of independent variables (offer, copy, pricing, etc.) to find statistically significant improvements toward reaching your business goals.
This approach would lead you to test, learn, and iterate as quickly as possible by finding small wins that end up compounding into massive growth. The A/B testing and hypothesis development must be scientifically based on best practices, observable evidence, and statistical significance.
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The impact of opportunity cost on personal and professional life
Evaluating the benefits and drawbacks of different choices
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A/B testing, also known as split testing, measures two social media posts against each other to see which performs best.
The most common way of using A/B tests is to only change one element of the post between the two versions (headline, image, CTA, etc) so that you know any difference in p...
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