Results in performance marketing can appear quickly, but for a new brand or a brand without a correctly implemented data history, campaigns inevitably go through a learning stage. Platform algorithms need data to identify the right audiences. In the first roughly 3 months, the focus is on collecting data efficiently, testing campaigns, and validating audiences. This is usually the most demanding period of the collaboration. From the start, we communicate transparently: in this stage, the priority is not maximizing profit, but generating a relevant volume of orders and conversions to feed the algorithms with quality data. Without data, there is no optimization. Without optimization, there is no sustainable scaling.