Sampling is a way of selecting a group of individuals from a given population (be it demographic/sex/social class), with the aim of characterizing the total population.
When you invest in email marketing campaigns, or netherlands mobile database social media posts, for example, what types of samples do you select? What are the characteristics of the population you intend to segment?
Failure to define the sample size invalidates the conclusion of an A/B test, generating diffuse and inconclusive results.
For example, if your store sells makeup products to women, you should select the age (16-30), female gender, and intended social class, for example. Don't make the mistake of having a very large sample (various age groups or men, for example) so as not to waste money and not reach any conclusion.
In this way, sampling will guarantee the quality of the result, based on a specific number that statistically represents a population, in a specific universe.
Insufficient sampling
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