"The targeting features in Optimize reflect the machine learning capability deployed in Google Optimize A/B testing. Adobe applied a machine learning upgrade with its Test and Target solution. Using machine learning in conducting A/B test increases test accuracy. Tests can automatically be run with appropriate sample size balanced against conditions that are a reasonable influence on choice.
Moreover, that balance allows the introduction of Bayesian probability for testing. Bayesian probability is based on adjusting the likelihood for a hypothesis to be valid when more evidence or information becomes available during a test.
That perspective is essential, with more marketing campaigns relying on automation where conditions are not solely defined by web technicalities or code. Direct email campaigns are a great example. Because more emails are opened in mobile devices, marketers must consider what real world actions — like arriving at a store — are in play, on top of code-related page influences like a button size, image or text."
What's inside: A nice overview of how to use Google Optimize.
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