Ktorá z nasledujúcich možností je osvedčeným postupom pri vytváraní experimentu s kampaňou?

Focusing on a single variable per test is crucial for accurately determining cause and effect. If multiple variables are changed simultaneously, it becomes impossible to isolate which specific change led to the observed results, making the experiment's findings unreliable. Separate tests for each variable ensure clear attribution of performance changes. Evaluating performance after the experiment, including the initial period, is a good practice but not the best practice for experiment creation. The statement about new ads not needing approval is incorrect; all ads must adhere to platform policies, regardless of being in an experiment. While choosing metrics is important, limiting to only two or three might overlook other significant impacts, and the core principle of isolating variables is more fundamental to valid experimentation.